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E-commerce Dissertation Topics

Published by Carmen Troy at January 10th, 2023 , Revised On August 18, 2023

Introduction

Studying e-commerce helps in understanding how online businesses work. As a student of e-commerce, you will be required to learn about the various electronic mediums that online businesses rely upon and how online operations and transactions are carried out.

Essentially, e-commerce is studying the different technologies involved in setting up an online business. These include automated data collection systems, artificial intelligence, user design, inventory management systems, electronic data interchange systems (EDI), online transactions processing, industry-specific user tools, internet marketing, supply chain management, news breaking, and electronic funds transfer, and mobile commerce.

To help you get started with brainstorming for e-commerce topic ideas, we have developed a list of the latest topics that can be used for writing your e-commerce dissertation.

PhD qualified writers of our team have developed these topics, so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the topic, research question , aim and objectives , literature review along with the proposed methodology of research to be conducted. Let us know if you need any help in getting started.

Check our dissertation examples to get an idea of how to structure your dissertation .

Review the full list of dissertation topics for 2022 here.

2022 E-commerce Dissertation Topics

Topic 1: an assessment of the geographical constraints impacting the business flow of e-commerce- a case study of amazon..

Research Aim: This study aims to find the impact of geographical constraints on the flow of e-commerce business focusing on Amazon. In this research, we will analyse how these geographical restrictions affect the flow of business. In many areas, e-commerce may drive the decline of small stores and may also affect the local producers and the global economy.

Topic 2: An investigation of the security controls and issues of e-commerce websites in the UK online environment.

Research Aim: With the development of the global economy and an increasing number of customers running their business largely through the internet or mobile has made e-commerce grow. Creating an effective strategy is the most integral part of a modern organization; however, a company must take care of the new security concerns and problems while maintaining their quality and high standard. This study will primarily focus on the security control and issues of e-commerce websites in the UK and how they cope with them to keep the data secured.

Topic 3: Google ads vs. Search ads in e-commerce- A comparative study

Research Aim: An organization may find it challenging to decide what kind of advertisement they should use for their online campaigns. This study will provide a comparative analysis of google ads and search ads and give us an understanding of both ads, focusing on which is better according to the budget of the organisation, which will help them gain a significant audience and grow the business.

Topic 4: An examination of consumer decision-making processes- A comparative study between e-commerce and m-commerce in the United Kingdom.

Research Aim: The growth of eCommerce is increasing day by day. This research aims to find the factors affecting the online purchase decision. This study will provide a comparative analysis of eCommerce and m-commerce in the UK, focusing on different factors and characteristics of both. This study will differentiate the features of eCommerce and m-commerce and identify the main factors which influence the long run of online marketing to provide better services for consumers and make them know about new business opportunities.

Topic 5: Gender Inequality in the Ecommerce Industry.

Research Aim: Women in industries are still facing substantial issues in their daily lives as well as in their professional lives; for example, salary gaps, discrimination, maternity leave are just simple examples that influence the everyday lives of thousands of individuals around the world. This study will focus on the gender inequality and biased behaviours individuals, especially women, face in the eCommerce industry.

Covid-19 E-commerce Research Topics

Topic 1: impacts of coronavirus on e-commerce.

Research Aim: The study will focus on identifying the effects of coronavirus on E-commerce.

Topic 2: Frequent E-commerce shopping during Coronavirus pandemic

Research Aim: Coronavirus has affected almost every business, including E-commerce. This study will investigate the reasons behind increasing online shopping, challenges faced by E-commerce industries, and measures taken to improve the business.

Topic 3: Contribution of E-commerce during COVID-19

Research Aim: This study will identify E-commerce industries’ contribution during the coronavirus pandemic. What safety measures have they taken to provide safe deliveries of the products? What kind of challenges they faced?

Topic 4: Offline and online shopping after COVID-19

Research Aim: This study will focus on reviewing the current positive and negative impacts on online shopping and shopping in stores and predict the future of shopping after COVID-19, listing the differences, challenges, benefits, and risks of both online and offline shopping.

E-commerce Dissertation Topics for 2021

Topic 1: impact of digital business on the economic growth of the country: a case study of xyz country.

Research Aim: This research will focus on the significance of digital business during the pandemic and its impacts, not the country’s economic growth. It is a detailed view of the future that needs to be digitalised.

Topic 2: Brand marketing through social media

Research Aim: This research aims to focus on the importance of Brand Marketing through social media by addressing various current strategies used in brand marketing.

Topic 3: Impacts of social media on customer behaviour

Research Aim: This research aims to measure social media’s impacts on customer behaviour and address various effective strategies to attract customers through social media.

Topic 4: What factors influence the consumer's buying decisions?

Research Aim: This research aims to identify factors that influence the consumer’s buying decisions

Topic 5: Black Friday sale strategy to drive sales

Research Aim: This research aims to identify how the Black Friday sale strategy is effective in driving sales. How can huge discounts benefit sellers?

Topic 6: The role of influencer marketing in increasing sale

Research Aim: Influencer Marketers impact the customer’s perception. This research aims to the role of influencer marketing in increasing sales.

Topic 7: Impact of E-marketing on consumer purchase decision: the case of the luxury industry in the UK

Research Aim: This research aims to measure E-marketing’s impact on consumer purchase decisions in the U.K luxury industry.

Topic 8: Analysis of the customer-centric marketing strategies in attaining competitive advantage for the firm and sustaining business success

Research Aim: This research focuses on attaining customer-centric marketing strategies in a competitive advantage for the firm and sustaining business success.

Topic 9: Traditional vs. digital marketing: a comparative study of the last ten years

Research Aim: This research aims to conduct a comparative study of traditional vs. digital marketing in the last ten years.

Topic 10: The impact of relationship marketing on customer loyalty: an analysis of the Honda motor

Research Aim: This research aims to assess the impact of relationship marketing on customer loyalty. An analysis of the Honda motor will be conducted as the basis of the research.

Topic 11: The importance of search engines in e-commerce

Research Aim: This research aims to identify the importance of search engines in e-commerce.

Topic 12: E-commerce company's advertising strategy-critical analysis

Research Aim: This research aims to identify the importance of an E-commerce company’s advertising strategy.

Topic 13: Importance of customer retention in E-commerce

Research Aim: This research aims to measure the importance of customer retention in E-commerce.

Topic 14: Importance of brand loyalty in internet marketing

Research Aim: This research aims to identify the importance of brand loyalty in internet marketing.

E-commerce Dissertation Topics for 2020

Topic 1: analysing the impact of e-commerce strategies on building better relationships with customers: a case study of the uk fashion industry.

Research Aim: the UK fashion industry is a fragmented zone where a large number of famous brands have been competing to gain a competitive edge through better customer relationships. For the same purpose, effective e-commerce strategies can help in building better customer relationships. Thus, the main purpose of this research will be to analyse the impact of e-commerce strategies on building better relationships with customers of the UK Fashion industry.

Topic 2: Assessing the impact of unique website attributes on consumer buying pattern: A case study of Amazon and eBay

Research Aim: The rise of information technology has led famous brands to develop unique attributes for their websites to encourage their audience to buy. One of the most notable issues of the e-commerce industry is the ever-increasing competition amongst online retailers that offer user-friendly and unique website design and UX features to achieve favourable results. The purpose of this study will be to assess the impact of website attributes on consumer buying patterns with a focus on Amazon and e-bay.

Topic 3: How does e-commerce facilitate adding value to a business: A case study of service industry in China.

Research Aim: In today’s world with tech-savvy consumers, online purchases are much higher as compared to traditional, in-store purchases. This persuades the pioneers of the service industry to add value to their business by providing e-commerce facilities to consumers. Therefore, the main purpose of this research will be to analyse how e-commerce facilitates and adds value to a business with a focus on China service industry.

Topic 4: Critical analysis of security policies and vulnerabilities of an online banking website: Identifying the challenges and remedies to improvise risk management

Research Aim: The number of internet users around the world is increasing with each passing year, however, this has also posited various security problems for online banking websites. The main purpose of this study will be to critically analyse security policies and the vulnerabilities of online banking websites, along with the identification of challenges and remedies for improvising risk management.

Topic 5: Can e-commerce help organisations build a competitive advantage over their competitors?

Research Aim: This research will talk about the role of e-commerce in helping organisations build a competitive advantage against their competitors. This research will understand how e-commerce, through advanced technology, helps businesses attain their business objective and how it helps them facilitate their customers.

Topic 6: Exploring the regulations and guidelines set out for e-commerce companies

Research Aim: This research will understand the rules and regulations set out by the government and regulating authorities to implement safe and secure e-commerce. When offering online payment services to their customers, businesses have to make sure that they comply with the laws set out by the government so that customers’ payments are safe and secure.

Topic 7: Analyzing the best security mechanisms that should be implemented by e-commerce businesses

Research Aim: When implementing e-commerce models, it is necessary for businesses to make sure that the best security mechanisms are put in place. Customers trust companies which is why they make online payments. Thus the development of secure payment gateways is vitally important to keep the trust of customers. This research will analyse the various security mechanisms available for companies and how businesses should implement them.

Topic 8: Exploring the data privacy issues in e-commerce

Research Aim: This research will be focused on trust issues surrounding e-commerce. Customers make credit card payments trusting the company and the technology in use. However, there have been instances where companies failed to protect customer data, and their privacy is compromised. Such incidents can cause the company to lose its reputation and find itself having to deal with legal issues. This study explores the various privacy issues that customers come across when buying online.

Topic 9: E-Commerce and customer retention – What role does e-commerce play?

Research Aim: This research will explore an important aspect of businesses i.e. customer retention. The study will analyse whether or not e-commerce helps businesses in retaining customers. What are the various causes and reasons people trust e-commerce and stay loyal to a brand if it does? This research will investigate all the possibilities to conclude whether e-commerce plays a role in retaining customers or not.

Topic 10: Security limitations and challenges of implementing e-commerce.

Research Aim: This research will explore the challenges and security limitations businesses have to deal with when building an e-commerce business. The study will include the various security elements that companies have to consider when implementing e-commerce models, the challenges they encounter, and the steps that they take in order to ensure the security of customers’ data as well as their own systems.

E-commerce Marketing Dissertation Topics

Their marketing and advertising strategies largely influence e-businesses. Without having a well-rounded and educated marketing strategy, an e-business in today’s cut-throat online environment will surely struggle to succeed.

Web admins and online marketing experts employ various marketing strategies to engage potential customers on social networks, banner advertisements, and paid advertisements.

The internet has played a vital role in making data available to everyone, making it possible to target customers based on their demographics and social media profiles. Thus, from these intriguing and up-to-date e-commerce marketing topics, you can choose the most suitable one for your own dissertation project.

Topic 1: E-commerce and the importance of search engine rankings for businesses

Research Aim: This research will identify the importance of search engine ranking for e-commerce businesses.

Topic 2: Investigating internet marketing strategies employed by traditional retailers

Research Aim: This research will explore and evaluate the internet marketing strategies undertaken by businesses.

Topic 3: Retaining customers by employing e-commerce: A case study of the UK fashion industry

Research Aim: This research will explore the ways through which e-commerce businesses can retain their customers. A specific focus of this study will be the UK Fashion industry.

Topic 4: Wholly online or one foot in both worlds – The advantages and disadvantages of the two commonly employed marketing strategies - online and conventional models

Research Aim: This research will aim to understand the pros and cons of two main marketing strategies employed by companies. Also, this research will study businesses that run both online and traditional businesses.

Topic 5: To investigate internet marketing strategies employed by e-commerce retailers

Research Aim: This research will understand the internet marketing strategies undertaken by e-commerce retailers.

Topic 6: Understanding the effect of customer behaviour on internet marketing strategies

Research Aim: This research will understand how internet marketing strategies change consumer behaviour.

Topic 7: Measuring the success of marketing strategy employed by new e-businesses – A case study of the UK retail industry

Research Aim: This research will aim to measure the success of marketing strategies adopted and employed by companies in the UK retail sector.

Topic 8: Measuring the success of internet marketing strategy employed by traditional businesses – A case study of the airline industry

Research Aim: This research will explore the success of internet marketing strategies employed by traditional businesses in the airline industry of the UK.

Topic 9: The role of original and plagiarism free content in today’s e-marketing strategies

Research Aim: This research will explore an important concept of internet marketing i.e. content marketing. The importance of content quality and authenticity will be evaluated in this study.

How Can ResearchProspect Help?

ResearchProspect writers can send several custom topic ideas to your email address. Once you have chosen a topic that suits your needs and interests, you can order for our dissertation outline service which will include a brief introduction to the topic, research questions , literature review , methodology , expected results , and conclusion . The dissertation outline will enable you to review the quality of our work before placing the order for our full dissertation writing service !

E-commerce Strategy Dissertation Topics

The importance and the role of an effective e-commerce strategy should never be overlooked especially when promoting a product or service. In today’s highly “technology-oriented” world, having an internet presence is considered a requirement.

A well-rounded design can help e-businesses become leaders in their respective industries. Some related topics are listed below:

Topic 1: Evaluating internet marketing strategies employed by existing e-businesses

Research Aim: This research will aim to explore the various internet marketing strategies employed by various existing businesses. The dissertation will identify the most successful online marketing strategies for the last five years in the UK e-commerce industry.

Topic 2: The challenges and opportunities for organisations migrating to the internet

Research Aim: This research will explore the challenges and opportunities that companies come across when transitioning from a traditional to an e-commerce model.

Topic 3: Accident or Design – Do we really have an internet marketing mix model/strategy that is sure to work?

Research Aim: This research will aim to explore whether we really have an internet marketing mix model/strategy that is sure to work or do online marketing strategies become successful by accident.

Topic 4: Investigating the use of customer service in e-commerce to gain a competitive advantage

Research Aim: This research will investigate the role of friendly and efficient customer services in the success of e-commerce strategy

Topic 5: Exploring the most effective aspects of e-commerce strategy in today’s world

Research Aim: This research will outline the most important qualities of an e-commerce strategy to be successful in today’s fast-moving world.

Topic 6: Exploring the various internet business value creation strategies employed by e-businesses

Research Aim: This research will explore and investigate the different internet value creation strategies adopted by e-commerce businesses.

Topic 7: Measuring performance of an e-business marketing strategy

Research Aim: This research will aim to measure the success of an e-commerce strategy implemented by an e-commerce business. This topic can be customised to focus on a specific company or a specific strategy.

Topic 8: Investigating e-business strategies employed by educational institutes in the UK

Research Aim: The educational sector has adopted e-commerce to attract students from around the world. This study will aim to investigate the e-commerce strategies implemented by educational institutes to evaluate their success.

Topic 9: Reviewing the e-business strategies employed by the UK SME’s

Research Aim: This research will compare and analyse the best e-commerce strategy implemented by SMEs in the UK.

Topic 10: How effective e-commerce strategies can help companies in building their brand reputation

Research Aim: This research will understand the various strategies implemented by companies and will conclude whether implementing them helps companies build their brand reputation.

E-commerce Security and Trust Dissertation Topics

The importance of trust and security in e-commerce has greatly increased in recent times, thanks to the growing number of threats that exist on the internet. When companies decide to implement e-commerce models, they entrust their customers that their data and privacy will be protected.

On the other hand, customers also make e-commerce payments trusting the company with their information. Thus, exploring these two essentials of e-commerce will help understand how successful companies have been in assuring customers about their security systems. Here are some commerce trust and security topics for you to choose from.

1. E-Commerce Trust Dissertation Topics

Topic 1: trust in e-commerce – reality or myth.

Research Aim: This research will explore the trust aspect of e-commerce as to whether it really exists or is just a myth.

Topic 2: Investigating data privacy issues in e-commerce and how they affect businesses

Research Aim: This research will explore the data privacy issues in the e-commerce industry and how they affect businesses.

Topic 3: Data Protection Act: Does it help in building trust in e-commerce

Research Aim: This research will understand the data protection act. It will also analyze whether or not it helps businesses to build trust. The research will explore whether changes to this act are required or not.

Topic 4: How has anti-virus technology helped the e-commerce industry?

Research Aim: This research will explore the effectiveness of anti-virus software and whether it has helped protect the e-commerce industry.

Topic 5: Investigating strategies used by retailers to build up trust among potential and existing customers

Research Aim: This research will analyse the strategies utilised by retailers in the UK to build trust among customers.

2. E-commerce Security Dissertation Topics

Topic 1: to identifying the security limitations that led to third party attacks in the past.

Research Aim: This research will analyse the past third-party attacks and will explore the reasons as to why those happened.

Topic 2: An empirical study of e-commerce security, challenges, and solutions

Research Aim: This research will discuss the basics of e-commerce security, the challenges faced by the industry and its solutions.

Topic 3: Investigating strategies employed by e-commerce businesses to enhance the security of e-commerce transactions

Research Aim: This research will aim to understand the various strategies that are employed by e-commerce businesses to enhance the security of e-commerce transactions.

Topic 4: Exploring the effectiveness of encryption in the e-commerce industry

Research Aim: This research will investigate the effectiveness of encryption and the reason why the e-commerce industry adopted it.

Topic 5: Online reputation management: Exploring how e-commerce companies in the UK fashion industry practice it

Research Aim: This research will discuss a relatively new concept, online reputation, and will explore how the UK fashion industry practices it.

E-commerce Usability Dissertation Topics

Not many e-businesses pay enough attention to the usability of their e-commerce website. It should be noted that the complex ordering and navigation system leads to higher bounce rates, leaving companies with very little or no revenue.

Companies should build a user-friendly user interface, or else visitors will prematurely give up and abandon their shopping cart. To explore this aspect of e-commerce, here are some latest research topics:

Topic 1: A comparative analysis of the usability of the world’s leading travel websites

Research Aim: This research will compare the website user interface of leading airlines such as Emirates, Qatar Airways, Turkish Airlines, etc.

Topic 2: Evaluating the website design and structure of the leading UK retail stores

Research Aim: This research will evaluate the website design and structure of the leading retail stores in the UK.

Topic 3: Assessing the website usability and design interface of government websites in the U.A.E.

Research Aim: This research will analyse the websites user interface of government-run websites in the United Arab Emirates.

Topic 4: Reviewing user-friendly design options for an e-commerce website for an online clothing store

Research Aim: This research will explore the website UX design options that must be taken into consideration by companies to ensure user-friendliness and smooth flow.

Topic 5: An analysis of the usability of m-commerce applications

Research Aim: This research will discuss and analyse the m-commerce application of the web systems as to how they should be built, keeping user-friendliness in mind.

Topic 6: Customer preferences and behaviour: Should these be considered when building a website?

Research Aim: This research will consider two important aspects of website development – customer preferences and behaviour. The study will discuss the importance of being mindful of consumer behaviour and consumer preferences when building a brand new website.

Topic 7: The impact of poorly designed websites on a company’s revenues

Research Aim: This research will assess the effects of poorly designed websites on a company’s revenues.

Topic 8: Customer satisfaction and usability: Are they both related to the e-commerce?

Research Aim: This research will explore the most important factor related to business, i.e. customer satisfaction and how it relates to website UX designing.

Topic 9: Critically analysing the UX design technologies employed by e-commerce businesses.

Research Aim: This research will critically analyse the current technologies employed by e-commerce businesses.

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E-commerce Law Dissertation Topics

Governments across the globe have reacted slowly to technological advancements being made over the last fifty years. The lobby groups behind large profit-making organisations play a huge part in the e-commerce laws being made.

The Digital Millennium Copyright Act and the Copy Right Act are two classic examples of such laws created to protect the interests of those in power. Consequently, the benefits of the legislation are not being experienced by the general public. Thus, it is worth exploring this aspect of e-commerce. Some suggestions are provided below if you wish to base your e-commerce dissertation on law:

Topic 1: To compare the e-commerce regulations in the United States of America and the European Union for new and existing e-commerce businesses

Research Aim: This research will compare and analyse the e-commerce laws and regulations for new and existing businesses in the United States of America and the European Union,

Topic 2: The role of consumer protection laws in the development of e-commerce – The case of the UAE

Research Aim: This research will explore customer protection laws and their role in the development of e-commerce in the UAE.

Topic 3: Computer Misuse Act 1990: Is it relevant today in the e-commerce industry?

Research Aim: This research will explore the computer misuse act 1990 and whether or not it is relevant today in the e-commerce industry.

Topic 4: Exploring how Brexit will impact the e-commerce laws for companies in the UK

Research Aim: This research will explore the impact of Brexit on the e-commerce industry in the UK and whether or not there will be new laws.

Topic 5: The impact of the American Copyright Act extension on e-commerce

Research Aim: This research will explore the impact of the American Copyright Act extension on e-commerce.

Topic 6: Analysing the impact of international legislation on the e-commerce industry

Research Aim: This research will analyse the impact of international legislation on the e-commerce industry.

Topic 7: Investigating UK’s legislation concerning e-businesses and how it affects businesses

Research Aim: This research will understand how UK legislation has set out e-commerce rules and how it impacts businesses.

Topic 8: Exploring the effectiveness of e-commerce laws and legislation as a deterrent to cyber attacks.

Research Aim: This research will understand whether or not e-commerce laws and legislation act as a deterrent to computer attacks and how effective they have been.

Topic 9: The implications of the Data Protection Act 1988 for e-businesses

Research Aim: This research will aim to understand the implications of the Data Protection Act 1988 for e-commerce businesses of today.

Topic 10: An analysis of the lawfulness of the e-commerce industry

Research Aim: This research will explore in-depth the laws and legislation related to e-commerce and how well they are adopted and implemented by e-commerce businesses.

Mobile E-commerce Dissertation Topics

Studies performed on e-commerce by various researchers reveal that mobile e-commerce will be the next “big thing” in the e-commerce industry.

With smartphones being the emerging and driving force in technology, the use of the internet in today’s world is not limited only to desktops and laptops. All smartphones using android and IOS applications allow users to browse the internet.

Consequently, more and more retailers are upgrading their websites to make them responsive and friendlier to mobile visitors. In this regard, some savvy e-commerce retailers are developing delivery mechanisms that satisfy the new platform’s needs.

Thus, it will be interesting to explore this aspect of e-commerce as it will give an insight into the current e-commerce industry. Here are some interesting mobile e-commerce dissertation topics that you can choose from.:

Topic 1: Wireless security and its effectiveness in the e-commerce Industry

Research Aim: This research will explore the concept of wireless security and how it helps the e-commerce industry.

Topic 2: Analysing the use of m-commerce by customers today – Understanding their adoption pattern

Research Aim: This research will aim to understand the e-commerce adoption rate and what compels customers to move towards m-commerce.

Topic 3: Investigating m-commerce strategies employed airline sector in the UAE

Research Aim: This research will investigate the m-commerce strategies that are employed by the airline sector in the UAE.

Topic 4: Analysing m-commerce innovation in the travel sector of the UK

Research Aim: This research will analyse the quick adoption rate of m-commerce rate in the travel sector in the UK.

Topic 5: Combining the benefits of m-commerce with the benefits of traditional commerce and e-commerce – A study of any multi-national retailer

Research Aim: This research will present a comparative analysis of traditional commerce and e-commerce and how multinationals benefit from it. This topic can be customised to a country or company of your choosing.

Topic 6: The effects of m-commerce on economic development in Europe

Research Aim: There is no doubt that e-commerce and m-commerce have played a huge role in developing economies. This research will investigate the impact of m-commerce on Europe’s economic development.

Topic 7: Trust and security issues in m-commerce: How companies can overcome them

Research Aim: This research will present some major trust and security issues associated with m-commerce and explore how companies can overcome these challenges.

Topic 8: The impact of m-commerce user interface on companies’ revenues

Research Aim: This research will first understand the importance of user interface in m-commerce and will then assess its impact on the company’s profitability.

Topic 9: Understanding the role and importance of data security in m-commerce – How it can be ensured

Research Aim: Just like e-commerce, m-commerce also has its own data security issues. This research will understand the role of the importance of data security and discuss how it can be ensured.

Topic 10: Generating revenue through m-commerce – Challenges and opportunities

Research Aim: This research will understand the challenges and opportunities associated with revenue generation through m-commerce.

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Important Notes:

As a student of e-commerce looking to get good grades, it is essential to develop new ideas and experiment with existing e-commerce theories – i.e., to add value and interest in your research topic.

The field of e-commerce is vast and interrelated to so many other academic disciplines like business , marketing , management , and even project management . That is why it is imperative to create an e-commerce dissertation topic that is particular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation as you may end up in the cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best e-commerce dissertation topics that fulfil your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and can also be practically implemented. Take a look at some of our sample e-commerce dissertation topics to get an idea for your own dissertation.

How to Structure your E-commerce Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

A Title Page
Acknowledgements
Declaration
Abstract: A summary of the research completed
Table of Contents
Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems. An outline of the structure of a dissertation can also be added to this chapter.
Literature Review : This chapter presents relevant theories and frameworks by analyzing published and unpublished literature on the chosen research topic to address research questions . The purpose is to highlight and discuss the selected research area’s relative weaknesses and strengths while identifying any research gaps. Break down the topic and key terms that can positively impact your dissertation and your tutor.
Methodology : The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design , research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
Findings and Analysis : Findings of the research are analyzed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs, charts, and tables in this chapter to identify meaningful trends and relationships.
Discussion and Conclusion : The researcher presents his interpretation of the results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section is establishing the link between the results and evidence from the literature. Recommendations with regards to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
References : Make sure to complete this following your University’s requirements
Bibliography
Appendices : Any additional information, diagrams, and graphs used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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Frequently Asked Questions

How to find dissertation topics about e-commerce.

For E-commerce dissertation topics:

Examine emerging trends in online business.
Investigate consumer behavior and preferences.
Analyze impacts of technology on E-commerce.
Explore security and privacy concerns.
Study E-commerce strategies and marketing.
Choose a specific area aligning with your expertise and curiosity.

How is eCommerce Growing Important Every Day?

The eCommerce industry has undergone significant transformations over the past few years, and its growth hasn't gone unnoticed. The increasing importance of eCommerce can be attributed to several factors, including:

Expanding Customer Base : The advancement of eCommerce has led to a massive increase in the number of customers participating in online shopping. Understanding and analyzing the evolving trends and preferences of these newer customers have become essential for businesses.

Convenience for Customers : One of the primary reasons for the industry's growth is the convenience it offers to customers. Online shopping portals enable people to purchase their favorite products from the comfort of their homes, contributing to the industry's popularity.

Targeted Marketing Growth: The effectiveness of targeted marketing strategies has played a crucial role in eCommerce's success. From personalized messages addressing customers by name to tailored product recommendations, such tactics have significantly enhanced customer satisfaction and contributed to the industry's expansion.

Top E-commerce Research Ideas

To ensure your eCommerce research paper captures attention and relevance, it's essential to focus on the most pertinent topics in the industry. We've compiled a list of potential topics that can significantly enhance the chances of your research paper's success:

1. Role of Artificial Intelligence in Shaping Consumer Demand In E-commerce

Objective of the Paper: The topic emphasizes the importance of using Artificial Intelligence in shaping consumer demand in the e-commerce industry. It aims to explore how AI is utilized to provide personalized product recommendations, virtual assistants, dynamic pricing, chatbots, etc.

The paper aims to provide insights into the effectiveness of AI in influencing consumer decision-making, examining underlying mechanisms and assessing its impact on satisfaction, loyalty, and shopping experiences.

Why Choose this Topic?

The objective is to contribute towards a deeper understanding of the role of advanced AI in e-commerce and provide valuable insights for businesses and policymakers. This information will help policymakers make informed decisions and optimize their marketing strategies.

2. An Innovative E-commerce Platform Incorporating Metaverse to Live Commerce

Objective of the Paper: The paper's primary purpose is to explore the integration of the metaverse concept into e-commerce platforms and investigate its impact. The research would aim to understand how Metaverse can be leveraged to enhance and transform the typical e-commerce model.

Such e-commerce thesis topics aim to develop and assess an innovative e-commerce platform that incorporates elements like virtual reality, augmented reality, and immersive experiences into live commerce interactions. The research can also identify the hiccups one might face regarding technical requirements and ethical considerations when marrying e-commerce with Metaverse.

Metaverse has recently gained a lot of attention due to its vast advantages. If Metaverse is successfully implemented with live commerce, one can unleash the platform's full potential and use it to their advantage. This paper helps provide insights into the application of the Metaverse in creating innovative yet immersive platforms.

3. Autonomous Transaction Model For E-commerce Using Blockchain Technology

Objective of the Paper: This innovative topic helps investigate and develop a novel transaction model. The primary purpose of including blockchain in an e commerce research paper is to explore the potential of Blockchain in enabling autonomous transactions within the entire e-commerce ecosystem.

Using the study, one can design and implement an autonomous transaction model that utilizes Blockchain's decentralized and immutable nature. This would facilitate secure, transparent as well as efficient transactions in e-commerce. Such e-commerce research paper topics aim to discover how Blockchain can effectively streamline various aspects of eCommerce management , including order processing, inventory management, supply chain logistics, payment systems, etc.

This paper would significantly contribute to assessing the effectiveness of the autonomous transaction model in improving operational efficiency, cost-cutting, and mitigating funds and counterfeiting risks. This helps create a transparent e-commerce transaction ecosystem that various businesses can apply.

4. Product Advertising Recommendation in E-commerce Based on Deep Learning and Distributed Expression

Objective of the Paper: This paper helps explore and develop a sophisticated recommendation system for product advertising by utilizing deep learning techniques and distributed expression methods. The primary aim is to discover how deep learning algorithms can be applied to analyze vast amounts of data, user behavior, product information, contextual factors, etc.

One can develop recommendation systems that leverage deep learning models like CNNs, RNNs, or transformer models to get meaningful product images, descriptions, and user preferences. The research also evaluates the proposed recommendation system's performance, scalability, and privacy implications.

This paper would help gain valuable insights for companies and industries to optimize their marketing strategies which will ultimately help in improving the overall user experience.

5. Evaluating User Interface and Experience of VR in the Electronic Commerce Environment: A Hybrid Approach

Objective of the Paper: The purpose is to analyze and assess virtual reality's UI and UX aspects of virtual reality, one of the hottest topics of current times, in the context of electronic commerce. This research will help provide insights into the effectiveness and usability of VR technology in enhancing the shopping experience for consumers and the selling experience for traders.

The aim is to employ not a single method but a hybrid approach combining qualitative and quantitative research. This involves conducting user studies, usability testing, surveys, and even interviews to get hands-on data and participant feedback.

Conducting thorough research on this topic will help provide valuable information for designing and optimizing VR interfaces in e-commerce settings. Gaining the knowledge would help companies better fathom the potential of VR in e-commerce and identify areas of improvement.

6. Smart E-commerce Logistics Construction Model-based on Big Data Analytics

Objective of the Paper: To propose a probable advanced logistic construction model for e-commerce that uses big data analytics to optimize and enhance the efficiency of the entire logistics process.

The primary goal is to explore and identify how big data analytics can garner, analyze and extract essential information from vast logistics-related data in the e-commerce industry. The sources include order information, inventory data, transportation records, traffic patterns, etc.

Ultimately, the research would be used to develop an intelligent logistics construction model that could use big data analytics, including data mining machine learning, predictive analytics, and even optimization algorithms.

Why Choose this Paper?

By gathering information from real-time data, the model aims to improve accuracy, cut costs, minimize delays, and provide a seamless experience to the users. The paper would provide companies with information that would strengthen their logistics operation and help them meet the increasing demands and expectations of the eCommerce market.

7. Consumer Marketing Strategy and E-commerce in the Last Decade

Objective of the Paper: The paper helps analyze the changes in consumer marketing strategies over the last ten years. The aim is to explore the evolving trends in terms of consumer behavior, preferences, and expectations and how they have influenced marketing strategies.

The study also helps understand how digital technologies such as social media, mobile devices, and significant data analytics shape consumer behavior. It also helps recognize the best practices and successful marketing strategies various e-commerce businesses use to attract, engage and retain customers.

If one analyzes any latest research paper on e commerce, one will find data that talks about the various challenges and opportunities that businesses have faced and adopted in the last decade. Likewise, this paper will help develop and implement effective consumer marketing strategies in an e-commerce environment. It would more likely be a comprehensive guide that talks about the evolution of consumer marketing strategies and their relationship with e-commerce in the last decade.

8. E-commerce Opportunities in the 4.0 Era of Innovative Entrepreneurship Management Development

Objective of the Paper: The purpose is to identify the various unique opportunities that arise in e-commerce as per the Fourth Industrial Revolution. The paper investigates and analyzes the multiple dimensions of eCommerce in the 4.0 era, which includes various parameters like AI, IoT, Blockchain, cloud computing, and data analytics.

The primary goal of this paper is to understand how these advanced technologies can be implemented to enhance the e-commerce platform and enable new business models.

The paper also aims to find specific growth areas, such as cross-border e-commerce, mobile commerce, and social or platform-based business models.

The paper helps in providing valuable insights for budding entrepreneurs and established businesses. It helps to understand the innovative relationship between emerging technologies and e-commerce, resulting in a conducive and sustainable environment.

How To Write An Effective E-commerce Research Paper?

Some basic steps must be followed to write an influential e-commerce research paper. They are:

Choose the Right Topic: Selecting a specific domain is necessary before writing a paper. Ensure the e commerce-related research topics are relevant to the current scenario and resonate with the market's current demand.
Conduct Thorough Research: A research paper is nothing if it is just filled with some facts everyone can find in the newspapers and magazines. As a research scholar, you need to conduct thorough research and write the paper in a way that discusses even the most critical topics excitingly.
Outline the Paper: Before writing, create an outline that will act as a guide throughout the research.
Analyze and Interpret your Findings: Collecting data and merely representing it would not be enough. You must analyze your research findings and translate them into an actionable conclusion.
Revise and Edit: Even after completing the paper, you must revise the whole thing to find mistakes, if any, are present while filling in the information.

You must always remember an e-commerce paper is only effective when it has the perfect balance between in-depth analysis, clarity of expression, and an engaging writing style.

In conclusion, the realm of eCommerce is experiencing rapid and dynamic changes, making it crucial for researchers and businesses to stay updated with the latest trends and topics. In 2024 and beyond, the key to success lies in exploring intriguing research ideas that hold the potential to revolutionize customer engagement, satisfaction, and conversion rates.

The first four research topics open up numerous opportunities for delving into customer-centric approaches, allowing businesses to better understand their target audience and cater to their needs effectively. Furthermore, the fifth and sixth topics emphasize the importance of efficient logistics and supply chain management, ensuring seamless delivery solutions and practices to meet customer expectations.

The final two topics highlight the indispensable role of data analytics and AI in the eCommerce landscape. Leveraging advanced technologies in these areas can drive better decision-making, fraud detection, and overall business efficiency.

By embracing these research areas and selecting the right eCommerce research title, researchers can gain valuable insights that will help them thrive in the ever-evolving world of eCommerce. Embracing innovation and staying attuned to the shifting industry trends will be key in achieving success in this fast-paced and competitive market.

Elevate your career with the highest salary jobs in world. Achieve your dreams and secure your financial future. The journey to top earnings starts now!

Frequently Asked Questions (FAQs)

The best way to choose a topic in commerce is to research and find out the most searched topics of the current times. This homework will help you understand the market's current demands and choose your topic accordingly.

In the simplest terms, e-commerce market research is the process of collecting and studying data and information related to the e-commerce industry.

If we consider previous data, the B2C model is the most successful form of eCommerce as the B2C model targets individual consumers rather than businesses providing a more significant customer base.

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57 Best Ecommerce Research Topics Ideas and Examples

If you are worried about your eCommerce research topics, contact us. We have a list of dissertation topics on e-commerce and other related fields. Also, we can help with business dissertation topics, marketing, and advertising topics. In addition, you can find a range of the latest undergrad and master’s thesis topics. Let us help you […]

If you are worried about your eCommerce research topics, contact us. We have a list of dissertation topics on e-commerce and other related fields. Also, we can help with business dissertation topics, marketing , and advertising topics. In addition, you can find a range of the latest undergrad and master’s thesis topics. Let us help you in completing your research successfully.

Best eCommerce research topics for master’s and undergraduate students

Here is the list of dissertation topics on eCommerce. These eCommerce research topics are created by our expert writers.

To learn about the strategies for a good eCommerce business – a literature review
To enhance business Strategy for B2B business in the case of developing countries.
To study payment processing models and how it has contributed to the success of e-commerce businesses
Effect of the Covid’19 on Ecommerce – the positive and negative analysis
To study the increasing rate of online shopping during the COVID-19 pandemic.
Research on the growth in the eCommerce business during covid’19 – an emergence of small businesses in the Asian countries.
Impact of the growth of e-commerce business on the country’s economy.
Impact of online business on customer behavior and attitude towards a brand.
What factors influence the customers toward online buying?
Is it always safe to buy online? – a survey analysis of the perspective of people from different generations.
The strategy used in the black Friday sale attracts the customer’s attention – how it affects brands’ sales.
What are the ways to enhance strategies for the promotion of online brand marketing?
An evaluation of the role played by bloggers and vloggers in increasing sales.
An analysis of the role loyal customers play in the marketing field.
To study the role of customer retention in E-commerce in the case of fashion brands.
Does eCommerce help a business in building a competitive advantage over its competitors?
To study the e-commerce market in Kuwait – an industrial analysis
Case study on the measurement of eCommerce market strategy.
What is encryption in Ecommerce? Its role and impact on the business performance
To Educate the public about security in E-commerce.
To Evaluate the firewall policies of a website and how it benefits the business and its consumers.
To study current intrusion detection technology.
What is an organizational strategy for change management?
To study business process reengineering.
What are search engine management strategies?
What is the difference between pay per check or pay per impression?
Case study on measurement of eCommerce success.
Study on E-commerce grocery in the US.
Use of Ecommerce in the tourism industry.
Impact of negative product reviews in the E-commerce market.
E-commerce research is a reality or a myth.
How does search engine optimization influence the overall performance of e-commerce businesses?
To study the data privacy issues in Ecommerce – a survey analysis.
What are the security challenges faced in implementing Ecommerce?
To implore the marketing strategies hired by traditional retailers.
To study the competition in an Ecommerce business.
An analysis of the increasing demand for plagiarism-free work from digital marketing agencies.
A quick review of 10 ways to earn money online by copy-pasting the material.
To study anti-virus technology and how it has benefited the field of e-commerce
How is anti-virus technology helping in the eCommerce business?
To study the best security mechanism in eCommerce and how it has protected businesses from fraud.
To study the benefits of eCommerce as compared to other fields.
To learn the benefits of eCommerce to both customers and buyers.
To study the benefits of eCommerce to small businesses.
Risk assessment to start an eCommerce business.
To study about Automation process in online learning.
Impact of identity threat in the Ecommerce business.
Analyze the strategy of eCommerce and supply chain management.
What is the E-brokerage industry? – a literature review.
To Analyse Ecommerce business in Asian countries.
To study the use of E-commerce through a phone app.

The above list is the best selection of eCommerce research topics if you are still looking for eCommerce research topics brief fill out the form below and get a customized topic service.

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E-Commerce Dissertation Topics

As technology grows to be a bigger part of today’s society, the amount of people benefiting from e-commerce is increasing. There has been an influx of online retailers over the years which indicates society’s acceptance of ecommerce. There is however, still a great amount of progress happening both in terms of the technology being developed as well as in terms of the market penetration and methods of employment. If you are thinking of completing your dissertation in an area of e-commerce, we have come up with some relevant topics to help stimulate your research. The dissertation topics have been split into a number of different key areas to give you a broad range of topics to choose from:

Strategy for E-commerce Dissertation Topics

Marketing/Advertising for E-business and E-commerce Dissertation Topics

Security and Trust Dissertation Topics

Legislation dissertation topics, usability dissertation topics, mobile e-commerce dissertation topics, law and e-commerce dissertation topics.

E-commerce has become an essential way for business to trade with the necessity and ability of an organisation to promote their service/ product. It has become one of the quickest growing technologies in the retail industry. Various strategies can be employed to the development of e-commerce, yet a gap is still presented in the technology which is used for ecommerce. One of the most important things in any business is the unique selling proposition. This is no different in e-commerce. The ability to identify the USP is the ability to install a productive and profitable e-commerce strategy. The platform alone (i.e. the Internet) may sometimes contribute to the USP, such as supermarkets allowing people to purchase goods online and provide delivery to their doors. It is also important that the consumer feels that they can shop at their leisure without the problems of going to a physical location. However, as the number of online retailers increases this may erode the USP that depends greatly on the platform. Possible e-commerce dissertation topics in this area are:

An analysis of e-commerce strategies for traditional organisations (Migration)
An analysis e-commerce strategies for new organisations
An analysis of e-commerce strategies for traditional organisations moving on to the Internet (Migration)
E-commerce strategies – Accident or design?
What are the components of a good e-commerce strategy?
An analysis of Internet branding strategies
How to obtain competitive advantage using technology
How to obtain competitive advantage using service in e-commerce
Internal business process and organisational strategy for change management
Business Process Reengineering – Myth or medicine?
An analysis of Internet business value creation strategies
Performance measurement of an e-business strategy (Case study)
E-business strategies for knowledge management – An analysis and evaluation
E-business strategies formulation techniques – Proposal for a new technique
An e-business strategy for an educational institution (Case study/Project)
An e-business strategy for an SME (Case Study/Project)
An e-business strategy for a B2B business.
An analysis of payment processing models
How effective is social media to the process of e-commerce?
How can e-commerce strategies build a better customer relationship?
How important is the unique selling point to the customer and the development of e-commerce?

Marketing/Advertising for E-businesses and E-commerce Dissertation Topics

The establishment of a brand or organisation is a necessary feature in the development of e-commerce. This is done through the marketing and advertising mediums which are available to an organisation. Marketing or advertising for an e-business is a very important part of the overall strategy for e-businesses. There are many challenges to the development of the marketing and advertising to an organisation and it is necessary that the organisation is still visible to the consumer. The development of Internet marketing techniques such as paid advertisements for keyword searches, banner advertisements and also the use of Web 2.0 applications that make use of social networks for advertisements, have all changed the way marketing and advertising operates. Developing the platforms to better engage with the customers is important to the development of customer and brand loyalty through e-commerce which can be done through the creation of the promotional strategies which are available. The amount of information available today has made it possible to carefully target customers based on profiles, networks, etc. A good knowledge of the mechanisms of the technology is required in order to take full advantage of the opportunities available. In developing strategies through social media, it is appropriate to understand that this digital word of mouth version is extremely valuable to the organisation and costs nothing. The internet and social media also allows organisations to reach customers on a greater scale. Suggested topics for your e-commerce dissertation include:

The importance of search engine rankings for e-commerce
Search engine advertisement strategy
Marketing strategy on the Internet
E-commerce Marketing Mix – Wholly online, or one foot in both worlds?
Pay-per-click vs. Pay-per-impression – A comparison
An advertising strategy for an e-business (case study)
Critical evaluation of an e-commerce company’s advertising strategy (case study)
Analytical Issues and empirical evidence of marketing strategies in e-commerce
Measuring e-commerce advertising success (case study)
Measuring e-commerce advertising success (proposal of a new technique/algorithm)
Measuring customer retention for e-commerce portals
Analysis of customer behaviour as an input for marketing strategy
What draws repeat customers to an online retailer?
Internet marketing for traditional retailers
Internet marketing for new (born on the Internet) retailers
Internet marketing – new strategy proposal
How can social media be used to market and advertise to the customer?
Digitalised word of mouth, how important is this to marketing an organisation online?
Brand loyalty, the development of the internet on marketing and e-commerce

Security and trust are extremely important issues in e-commerce. One of the major perceived threats of e-commerce is the issue of security. Security and trust threats come from two areas in e-commerce – threat from third party attacks on legitimate transactions between a retailer and the customer and threat from fraudulent retailers to customers. It has become important for organisations and their online presence to identify the risks and threats to security in order to promote a safer security environment. Customers have become more aware of the issues involved in security particularly in the banking industry and on the development of secure networks to shop online.

Third party attacks Dissertation Topics

The threat of third party attacks is an ever-present one. Hackers may try to gain access to sensitive information stored in the web servers, such as credit card information, bank account details and even personal details for identity theft. This threat has become more prevalent with the introduction of new digital technologies. Retailers have a legal responsibility to keep any personal details they collect safe. Technology such as SSL, firewalls, intrusion detection etc. are all used to secure the website from unauthorised access. Third party attacks are also facilitated by lax security from customers. Some e-commerce dissertation topics in this area are:

Critical evaluation of current technology enabling e-commerce security
Analysis of previous attacks and vulnerabilities that led to those attacks
Security vulnerabilities and possible attacks methods – firewalls
Security vulnerabilities and possible attack methods – SSL
The effectiveness of current intrusion detection technology
Critical evaluation of security policies of a website
Critical evaluation of the firewall policies of a website
Perception of security among the lay public
Educating the public about security
Encryption – State of the Art.
How effective is today’s encryption to prevent spying/snooping?
Customer confidence and how they perceived their data is being handled
Security limitations and challenges in the online environment
How much more can online retailers, banks etc do to provide more security to online transactions?

Trust in e-commerce Dissertation Topics

There is a great deal of benefits to e-commerce, yet there is still some hesitation from customers when it comes to using online shopping. Trust is an important issue in e-commerce, because unlike real world transactions, the retailer is not present in person during the transaction. Hesitation is apparent due to the lack of trust in the perception of the online environment. It is much easier for an entity to set up a website and an electronic payment processing system than a real-world storefront. It is also much more difficult for customers to determine the authenticity of websites. This makes it very difficult to trust that the retailers are who they claim to be. Online hacking has also become an issue for the online consumer as they fear that their personal information will be compromised. Some of the topics you could research for your e-commerce dissertation in this area are:

Digital certificate, encryption and public key infrastructure weakness analysis
Trust models in e-commerce
Analysis of the effectiveness of trust-building mechanisms
Analysis of public perceptions of trust
Data privacy issues in e-commerce
Data Protection Act 2002 – Implications for e-commerce
Managing reputations online
How important is trust in e-commerce and how it can be built up?
Trust in e-commerce – Myth or Reality?
The antivirus business
The protection business – how effective is today’s antivirus software?
Adware vs. spyware – where is the line drawn?
Impact of trust on consumer behaviour
Comparing tradition commerce to e-commerce and the understanding of trust for the consumer
How can online retailers build trust in potential and existing customers using security and risk management strategies?

Legislation has also been enacted in countries throughout the world in an effort to ensure that computer networks are safe from external threats and that any ‘attackers’ are brought to justice swiftly. By way of illustration, in the UK, legislation including the Computer Misuse Act 1990 and the Police and Justice Act 2006 has been enacted and implemented to help both prevent and punish computer security breaches. With this in mind, in view of the sheer breadth of this area of law, here are a number of dissertation topics that you may wish to consider in this area:

The Computer Misuse Act 1990 – Scope, definition, reach and effectiveness.
The Police and Justice Act 2006 – Scope, definition, reach and effectiveness.
Legislation protecting computer security in the UK – Adequate or not fit for purpose?
An examination of international legislation in protecting computer security.
How effective has domestic and international legislation proved to be as a deterrent to computer attacks?
What impact will the pending Brexit have upon the application of the law related to keeping computer networks safe from external threats and ensuring that any ‘attackers’ are brought to justice?
How effectively has the law in this area kept up with the external threats to computer networks technological advancements?
In view of the pending Brexit, what lessons can UK policy makers learn from countries’ legal systems outside the European Union, with a view to guaranteeing computer networks are kept safe from external threats?

Website usability is important for online retailers because their ‘shops’ are not physically manned and consumers abandon sites that are poorly designed, if they need to make too many clicks, or if they have to look too hard for what they want. Customers don’t return if the content is hard to use. Websites therefore have to be very user-friendly; the layout and design should strive to achieve the balance between simplicity and presentation of all information because higher usability is a competitive advantage in today’s market. Technology has also been employed to provide effective customer service, such as having 24/7 support over the phone, and live chat on the e-commerce website. The new generation of Internet applications, such as the semantic web and natural language search (collectively termed Web 3.0), holds great promise for progress in customer service in e-commerce. Some of e-commerce dissertation topics in the area of usability are:

Critical analysis of current technology employed for e-commerce customer service.
Potential Web 3.0 applications for customer service.
Developing a new Web 3.0 application for customer service.
Emerging semantic web applications in marketing.
Effectiveness of principles of usability of e-commerce websites.
Do W3C standards help promote usability?
Analysis of any one major e-commerce website (such as Amazon) from the usability point of view.
The monetary impact of low usability of retail e-commerce websites.
Quantifying usability for e-commerce.
Evaluating the key aspects of usability of e-commerce websites based on users’ preferences.
Usability survey for one or more e-commerce website(s).
Applying business processes refactoring to improving usability in on e-commerce websites.
The role of usability in customer satisfaction with and commitment to a fashion retail website.
Usability and user experience with mobile geo-referenced apps in the travel and tourism industry.

Mobile e-commerce, mobile commerce, or m-commerce is the next frontier in e-commerce. An increasingly networked and mobile world means that the Internet is no longer shackled to the desktop and a landline. It is now available in many mobile devices including smartphones and tablets. Savvy retailers have been quick on the uptake, providing content and delivery mechanisms more suited to the m-commerce platform. There are various opportunities for m-commerce, from profit-seeking through customers’ calls and texts to custom-designed applications for mobile platforms. Some m-commerce dissertation topics are:

Wireless security for m-commerce.
Exploring geographical boundaries of m-commerce.
Payment processing methods for m-commerce.
Custom e-commerce applications for m-commerce.
Analysis of m-commerce business models.
Usability of m-commerce applications.
Mobile client technology problems and bottlenecks.
Mobile networks technology problems and bottle necks.
User interface design for m-commerce.
Wireless networks capacity problems: Issues facing m-commerce.
E-commerce application with wireless to wired interface.
User identification for m-commerce.
Data security in m-commerce.
Differences in customer decision-making across e-commerce and m-commerce platforms.
What are the barriers to more extensive adoption of m-commerce in developing countries?
Does the reputation of the payment provider affect consumers’ willingness to undertake m-commerce transactions?
Using m-commerce to achieve strategic business objectives: A John Lewis case study.

Governments in individual countries around the world have proved to be somewhat slow in practice to react to advancements in technology and, in particular, e-commerce. In brief, it is arguable that the laws in this area are generally proved to have been made at the behest of lobby groups that sit behind large profit-making organisations so that customers are then generally left to suffer. Some of the examples to have arisen in this regard include:

The continued extension of the Copyright Act in the US, with a view to benefitting the Disney Corporation, having been enacted at their behest.
The Digital Millennium Copyright Act (DMCA) which serves to all too clearly benefit the Recording Industry Association of America.

Some e-commerce dissertation topics that you may wish to consider finding out more about in this area are:

The geographical boundaries of legislation affecting e-commerce.
The impact of the DMCA on e-commerce.
The impact of the American Copyright Act extensions on e-commerce.
The impact of the Berne Convention on e-commerce.
A review of UK legislation affecting e-commerce.
Borderless crimes – can a computer crime be committed outside the jurisdiction of any country?
Sealand – a digital utopia?
Geographical boundaries – is a hacker safe in Sealand?
Legislation P2P networks – killing a few legitimate businesses to save the majority of other businesses?
P2P networks and e-commerce.
Software patents – Repeatedly making money off the golden egg?
Pornography and e-commerce.
What impact will Brexit have upon the law related to e-commerce in the UK?
What are the main lessons that policy makers in the UK can learn from other countries with a view to improving the law regarding e-commerce domestically?
How can the most significant flaws to have been recognised with regard to UK laws related to e-commerce be most effectively redressed through new legislative enactments?

Data mining and E-Commerce

Data mining is another area which is likely to have a significant impact upon e-commerce. This is because it has come to be recognised that, since a huge amount of information is made available through digital systems, and that this information can be collated from various sources so as to then glean significantly more information than the individual would expect, customer privacy issues have come to the fore in recent years. With this in mind, legislation, including the Data Protection Act 1998 and the Freedom of Information Act 2000, has been aimed at protecting the interests of the lay citizen. Some e-commerce dissertation topics that you may wish to consider finding out more about in this area are:

The Data Protection 1998 – Implications for e-commerce.
The Freedom of Information Act 2000 – Implications for e-commerce.
Data mining – Legal and Ethical Issues.
Data mining technology – the next frontier.
What impact is Brexit likely to have upon the law as it relates to data mining in the UK?
How successful has the law regarding data mining in the UK proved to be to date?
What lessons may be learned from other jurisdictions with regard to the development of the law as it relates to data mining in the UK?

Theses on e-commerce topics

As a professor at a University of Applied Sciences, Prof. Geibel regularly supervises theses on e-commerce topics in the Business Administration , Media Management , Logistics and Entrepreneurship degree programs. If you would like some non-binding advice on the topics suggested here, on how to find a topic and on how to write a thesis, just use the comment function at the end of this article or write an email. An overview of the supervision procedure can also be found at the end of the post.

Theses can also be written in cooperation with companies. The companies can propose their own topic and provide a company representative as second supervisor of the thesis. Prof. Geibel has had very good experience with this configuration and is happy to put companies and students in touch with each other.An overview of topics already worked on and suggested topics can be found in this article. Please send requests for theses to: geibel (at) ecommercinstitut.de .

For students but also for companies who would like to have a topic worked on as part of a thesis, the following list of topics for future theses could be inspiring:

Elaborated topics of final theses:

Online food retailing in Germany – a comparative market and competition analysis for Rewe Digital and Amazon Fresh.
The Digitization of Stationary Food Retailing – Potential Analysis for the Use of Digital Technologies
State of Online Marketing in the Italian Tourism Industry: Empirical Analysis and Case Study
An Analysis of Amazon’s Business Model and Customer Loyalty Strategies
Benchmarking Study on the Optimization Level of Mobile Shopping Sites of Zalando and About You
Chances and Challenges in the Area of E-Health due to Digital Transformation
Transformation from car manufacturer to mobility provider – opportunities and challenges in the development of mobility platforms
Online marketing organization in transition – how do dynamic advertising technologies influence the marketing culture in the company?
The importance of brand communities for (online) brand management. The benefits of Facebook Fan Pages using selected examples.
Potential analysis of social media channels in relation to the success of customer retention.
A current analysis of online furniture retailing in Germany
External effects in e-commerce
The digital future of stationary trade – potentials and advantage strategies in competition with online trade using the example of the textile industry
Social Media as a Marketing Platform – Opportunities and Strategies for Self-Marketing on Instagram Using the Example of Fashion Bloggers
Adblockers: An analysis of the increasing popularity of ad blockers and their impact on traditional online marketing
Market segmentation in e-commerce: An A/B impact study of different newsletter contents
Gender Commerce – Gender-specific differences in online purchasing
Analysis of the online trade with drugstore articles in Germany with special consideration of logistical aspects
Target group segmentation in e-commerce
Social media and e-commerce
Sales financing in e-commerce
Competitive strategies in e-commerce
Rise and decline of social networks
Acceptance problems in mobile payment
Key figure systems in e-commerce
Comparison & requirement-oriented evaluation of modern online store systems
Design of financial transactions as a success factor in e-commerce
The battle for the mobile Internet – an industrial economic analysis of the competitive strategies of Google, Microsoft and Apple
Success potentials of mobile marketing
Success factors of social media for non-governmental organizations
Success potentials of mobile payment systems in the German market
Storytelling in brand communication – strategies and recommendations for action depending on customer involvement
Augmented reality as a success factor in mobile commerce? Opportunities, limits and risks
Targeted customer relationships in social media touchpoints – opportunities and limits of attribution modeling
Creation of a concept for the implementation of location-based services in the marketing strategy in the hospitality industry
Content marketing in long-tail e-commerce – creation of a marketing and communication concept for an online store

Published theses:

Learn more about these successful theses from our alumni:

The importance of AI in online marketing – a critical examination of the opportunities and challenges for promotion
Blockchain and alternative technologies in autonomous driving passenger cars
Influence of digitalization in the real estate industry – challenges and opportunities for improving the UX
The Impact of Digital Transformation on Change Management – A Critical Analysis of Current Concepts in the Consulting Industry
Evaluating intrapreneurship in corporate innovations – an analysis between scale-ups and large corporations
Future Mobility Concepts – A Critical Analysis of the Impact of Digitalization on the Automotive Industry
Sustainability in online retail using the example of Amazon
Critical examination of a digital sales platform – opportunities and risks for CRM

Procedure of supervision for final theses

Based on the experience of many successful theses, the following procedure has been established for the supervision of theses:

Initial contact and consultation to narrow down the topic
Selection of the topic
Overview of literature or empirical content
Linkage with academic and professional goals
Selection of first and second supervisors
Registration of the thesis by the student
Preparation and discussion of the outline
Independent preparation of the thesis by the students
Submission of the thesis by the students
Evaluation of the thesis by the examiners
Possible publication of results of the thesis

Beyond the topics suggested here, both students and companies can make their own suggestions, for which Prof. Geibel will be happy to consider realization. Suggestions are best sent to info (at) ecommerceinstitut.de .

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FacebookXEmailWhatsAppRedditPinterestLinkedInEmbarking on a journey of academic exploration in the dynamic field of E-commerce? Look no further. Our curated list of research topics in e-commerce is designed to guide students like you towards intriguing and impactful subjects for your thesis or dissertation. From probing the nuances of consumer behaviour in online markets to unravelling the intricacies […]

Embarking on a journey of academic exploration in the dynamic field of E-commerce? Look no further. Our curated list of research topics in e-commerce is designed to guide students like you towards intriguing and impactful subjects for your thesis or dissertation.

From probing the nuances of consumer behaviour in online markets to unravelling the intricacies of supply chain optimization, these topics span the spectrum of E-commerce possibilities. Whether pursuing an undergraduate, master’s, or doctoral degree, this comprehensive resource offers a springboard for your research pursuits, enabling you to delve into the ever-evolving world of digital commerce and contribute to shaping its future.

A List Of Potential Research Topics In E-Commerce:

E-commerce and food delivery services: market dynamics and prospects.
Digital divide and inclusivity in UK e-commerce: bridging socioeconomic gaps in online access.
E-commerce and personal data monetization: ethical and legal implications.
E-commerce accessibility and inclusivity for persons with disabilities.
Investigating the role of online reviews in shaping e-commerce purchase decisions.
Last-mile delivery challenges in post-pandemic e-commerce: sustainability and efficiency.
The effects of product visualization technologies on e-commerce sales.
E-commerce personalization: tailoring online shopping experiences for different customer segments.
Online payment systems in e-commerce: a critical review of security and user trust
E-commerce platforms as resilient business models: case studies from the pandemic era.
E-commerce and voice commerce: evaluating user adoption and satisfaction.
Digital transformation of brick-and-mortar businesses: e-commerce adaptation and survival.
E-commerce and fast fashion: sustainability in online apparel retail.
The role of e-commerce in promoting local artisans and crafts.
Digital marketing in e-commerce: a meta-analysis of social media advertising effectiveness
E-commerce and the gig economy: exploring the impact of freelancers on online platforms.
E-commerce data analytics: a systematic review of predictive analytics for demand forecasting
Online consumer protection and data privacy in UK e-commerce: compliance and customer trust.
The influence of cultural factors on cross-border e-commerce success.
The resilience of e-commerce supply chains: lessons learned from the pandemic.
The role of influencer marketing in e-commerce sales.
E-commerce adoption and growth in the UK retail industry: a case study of market trends.
Ethical considerations in e-commerce algorithms and automated decision-making.
Social commerce and e-commerce integration: leveraging social media for sales.
The role of augmented reality in transforming virtual fitting rooms for e-commerce.
E-commerce and circular economy: redefining product lifecycles and sustainability.
The future of e-commerce: predictive analysis and trends forecasting.
E-commerce platforms and sustainable packaging: balancing consumer preferences and environmental concerns.
Analyzing the growth of direct-to-consumer (DTC) e-commerce models.
Examining the effects of augmented reality on e-commerce user experience.
The impact of artificial intelligence on personalized e-commerce recommendations.
Brexit’s impact on UK-EU e-commerce trade relations: challenges, opportunities, and strategies.
E-commerce and consumer psychology: understanding impulse buying behaviour online.
Exploring e-commerce adoption among older generations.
E-commerce cybersecurity: a review of threats, vulnerabilities, and mitigation strategies
E-commerce platforms and mobile apps: a comparative review of user engagement and retention
E-commerce and omnichannel retailing: integration of online and offline shopping experiences.
E-commerce marketplaces and competition law: a regulatory perspective.
Exploring cross-border e-commerce strategies in emerging markets.
E-commerce data analytics: utilizing big data for business insights.
E-commerce and rural development: opportunities and challenges for small businesses.
E-commerce subscription services: consumer attitudes and preferences.
E-commerce and customer loyalty programs: strategies for long-term engagement.
E-commerce and psychological pricing strategies: perceptions of discounts and bargains.
The role of chatbots and virtual assistants in e-commerce customer support.
Online payment security measures and consumer trust in e-commerce.
Online consumer behaviour shifts post COVID-19: implications for e-commerce strategies.
E-commerce platform customization: personalizing the online shopping journey.
Online consumer trust and cybersecurity measures in e-commerce.
Cryptocurrency and e-commerce: adoption, challenges, and opportunities.
E-commerce and the sharing economy: peer-to-peer commerce platforms.
E-commerce and supply chain resilience: lessons from disruptions.
E-commerce and social media influencers: analyzing the effects on consumer behaviour .
E-commerce innovations in the UK: case studies of successful digital business models.
The role of blockchain technology in enhancing supply chain transparency in e-commerce.
E-commerce and health-related products: regulatory changes and consumer demand.
The evolution of voice commerce: implications for e-commerce businesses.
E-commerce and product returns: strategies for reducing return rates.
E-commerce customer experience: a comprehensive review of user interface design and usability
E-commerce platforms and small businesses in the UK: empowering local enterprises in a digital age.
E-commerce logistics and fulfilment: an in-depth review of last-mile delivery innovations
The impact of e-commerce on traditional retail: a comparative study.
Privacy concerns and data protection in e-commerce transactions.
E-commerce and digital marketing trends: influencer collaborations and viral campaigns.
Sustainability practices in e-commerce: a review of green packaging and supply chain initiatives
E-commerce and sustainability practices in the UK: balancing environmental concerns and business growth.
E-commerce marketplaces and cross-border trade in the UK: analyzing global expansion strategies.
Exploring subscription-based e-commerce models and customer retention.
E-commerce localization: adapting websites and content for global audiences.
E-commerce and intellectual property rights: copyrights, trademarks, and counterfeits.
Regulatory frameworks and e-commerce taxation in the UK: balancing innovation and revenue.
E-commerce fraud prevention and cybersecurity measures.
The rise of mobile e-commerce: strategies for enhancing mobile shopping experiences.
The role of e-commerce in fostering entrepreneurship and start-up ecosystems in the UK.
E-commerce and contactless payments: exploring the acceleration of digital transactions.
Remote work and e-commerce operations: managing teams and processes in the new normal.
The influence of user-generated content on e-commerce sales and brand loyalty.
The impact of social distancing on e-commerce and last-mile delivery.
E-commerce and sustainability: assessing green practices and consumer awareness.
Voice search optimization for e-commerce websites.

In conclusion, the diverse array of research topics in E-commerce presented here serves as a gateway to exploring the intricate world of online business and consumer behaviour. From examining the impact of digital marketing strategies to analyzing cyber security challenges and delving into sustainable practices, these topics provide a solid foundation for your dissertation journey. Whether you’re pursuing an undergraduate, master’s, or doctoral degree, these research topics offer pathways to deeper understanding and contribution to E-commerce.

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Artificial intelligence in E-Commerce: a bibliometric study and literature review

Research Paper
Published: 18 March 2022
Volume 32 , pages 297–338, ( 2022 )

Cite this article

Ransome Epie Bawack 1 ,
Samuel Fosso Wamba 2 ,
Kevin Daniel André Carillo 2 &
Shahriar Akter 3

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This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guidelines on how information systems (IS) research could contribute to this research stream. To this end, the innovative approach of combining bibliometric analysis with an extensive literature review was used. Bibliometric data from 4335 documents were analysed, and 229 articles published in leading IS journals were reviewed. The bibliometric analysis revealed that research on AI in e-commerce focuses primarily on recommender systems. Sentiment analysis, trust, personalisation, and optimisation were identified as the core research themes. It also places China-based institutions as leaders in this researcher area. Also, most research papers on AI in e-commerce were published in computer science, AI, business, and management outlets. The literature review reveals the main research topics, styles and themes that have been of interest to IS scholars. Proposals for future research are made based on these findings. This paper presents the first study that attempts to synthesise research on AI in e-commerce. For researchers, it contributes ideas to the way forward in this research area. To practitioners, it provides an organised source of information on how AI can support their e-commerce endeavours.

Artificial Intelligence in E-commerce: A Literature Review

Research on the Use, Characteristics, and Impact of e-Commerce Product Recommendation Agents: A Review and Update for 2007–2012

E-commerce and Business Analytics: A Literature Review

Avoid common mistakes on your manuscript.

Introduction

Electronic commerce (e-commerce) can be defined as activities or services related to buying and selling products or services over the internet (Holsapple & Singh, 2000 ; Kalakota & Whinston, 1997 ). Firms increasingly indulge in e-commerce because of customers' rising demand for online services and its ability to create a competitive advantage (Gielens & Steenkamp, 2019 ; Hamad et al., 2018 ; Tan et al., 2019 ). However, firms struggle with this e-business practice due to its integration with rapidly evolving, easily adopted, and highly affordable information technology (IT). This forces firms to constantly adapt their business models to changing customer needs (Gielens & Steenkamp, 2019 ; Klaus & Changchit, 2019 ; Tan et al., 2007 ). Artificial intelligence (AI) is the latest of such technologies. It is transforming e-commerce through its ability to “correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation” (Kaplan & Haenlein, 2019 . p. 15). Depending on the context, AI could be a system, a tool, a technique, or an algorithm (Akter et al., 2021 ; Bawack et al., 2021 ; Benbya et al., 2021 ). It creates opportunities for firms to gain a competitive advantage by using big data to uniquely meet their customers' needs through personalised services (Deng et al., 2019 ; Kumar, Rajan, et al., 2019 ; Kumar, Venugopal, et al., 2019 ).

AI in e-commerce can be defined as using AI techniques, systems, tools, or algorithms to support activities related to buying and selling products or services over the internet. Research on AI in e-commerce has been going on for the past three decades. About 4000 academic research articles have been published on the topic across multiple disciplines, both at the consumer (de Bellis & Venkataramani Johar, 2020 ; Sohn & Kwon, 2020 ) and organisational levels (Campbell et al., 2020 ; Kietzmann et al., 2018 ; Vanneschi et al., 2018 ). However, knowledge on the topic has not been synthesised despite its rapid growth and dispersion. This lack of synthesis makes it difficult for researchers to determine how much the extant literature covers concepts of interest or addresses relevant research gaps. Synthesising research on AI in e-commerce is an essential condition for advancing knowledge by providing the background needed to describe, understand, or explain phenomena, to develop/test new theories, and to develop teaching orientations in this research area (Cram et al., 2020 ; Paré et al., 2015 ). Thus, this study aims to synthesise research on AI in e-commerce and propose directions for future research in the IS discipline. The innovative approach of combining bibliometric analysis with an extensive literature review is used to answer two specific research questions: (i) what is the current state of research on AI in e-commerce? (ii) what research should be done next on AI in e-commence in general, and within information systems (IS) research in particular?

This study's findings show that AI in e-commerce primarily focuses on recommender systems and the main research themes are sentiment analysis, optimisation, trust, and personalisation. This study makes timely contributions to ongoing debates on the connections between business strategy and the use of AI technologies (Borges et al., 2020 ; Dwivedi et al., 2019 , 2020 ). It also contributes to research on how firms can address challenges regarding the use of AI-related benefits and opportunities for new product or service developments and productivity improvements (Makridakis, 2017 ). Furthermore, no study currently synthesises AI in e-commerce research despite its rapid evolution in the last decade triggered by big data, advanced machine learning (ML) algorithms, and cloud computing. Using well-established e-commerce classification frameworks (Ngai & Wat, 2002 ; Wareham et al., 2005 ), this study classifies information systems (IS) literature on AI in e-commerce. These classifications make it easier for researchers and managers to identify relevant literature based on the topic area, research style, and research theme. A future research agenda is proposed based on the gaps revealed during the classification to guide researchers on making meaningful contributions to AI knowledge in e-commerce.

Research method

Bibliometric analysis.

Bibliometric analysis has been increasingly used in academic research in general and in IS research to evaluate the quality, impact, and influence of authors, journals, and institutions in a specific research area (Hassan & Loebbecke, 2017 ; Lowry et al., 2004 , 2013 ). It has also been used extensively to understand AI research on specific fields or topics (Hinojo-Lucena et al., 2019 ; Tran et al., 2019 ; Zhao, Dai, et al., 2020 ; Zhao, Lou, et al., 2020 ). In this study, a bibliometric analysis was conducted to understand research on AI in e-commerce using the approach Aria and Cuccurullo ( 2017 ) proposed. This methodology involves three main phases: data collection, data analysis, and data visualisation & reporting. The data collection phase involves querying, selecting, and exporting data from selected databases. This study's data sample was obtained by querying the Web of Science (WoS) core databases for publications from 1975 to 2020. This database was chosen over others like Google Scholar or Scopus because WoS provides better quality bibliometric information due to its lower rate of duplicate records (Aria et al., 2020 ) and greater coverage of high-impact journals (Aghaei Chadegani et al., 2013 ). The following search string was used to query the title, keywords, and abstracts of all documents in the WoS collection:

(‘‘Electronic Commerce’’ OR ‘‘Electronic business’’ OR ‘‘Internet Commerce’’ OR “e-business” OR “ebusiness” OR "e-commerce” OR “ecommerce” OR “online shopping” OR “online purchase” OR “internet shopping” OR “e-purchase” OR “online store” OR “electronic shopping”). AND (“Artificial intelligence” OR “Artificial neural network” OR “case-based reasoning” OR “cognitive computing” OR “cognitive science” OR “computer vision” OR “data mining” OR “data science” OR “deep learning” OR “expert system” OR “fuzzy linguistic modelling” OR “fuzzy logic” OR “genetic algorithm” OR “image recognition” OR “k-means” OR “knowledge-based system” OR “logic programming” OR “machine learning” OR “machine vision” OR “natural language processing” OR “neural network” OR “pattern recognition” OR “recommendation system” OR “recommender system” OR “semantic network” OR “speech recognition” OR “support vector machine” OR “SVM” OR “text mining”).

This search string led to 4414 documents that made up the initial dataset of this study. For quality reasons, only document types tagged as articles, reviews, and proceeding papers were selected for this study because they are most likely to have undergone a rigorous peer-review process before publication (Milian et al., 2019 ). Thus, editorial material, letters, news items, meeting abstracts, and retracted publications were removed from the dataset, leaving 4335 documents that made up the final dataset used for bibliometric analysis. Figure 1 summarises the data collection phase.

Summary of the data collection phase

Table 1 summarises the main information about the dataset regarding the timespan, document sources, document types, document contents, authors, and author collaborations. The dataset consists of documents from 2599 sources, published by 8663 authors and 84,474 references.

Bibliometrix Footnote 1 is the R package used to conduct bibliometric analysis (Aria & Cuccurullo, 2017 ). This package has been extensively used to conduct bibliometric studies published in top-tier journals. It incorporates the most renowned bibliometric tools for citation analysis (Esfahani et al., 2019 ; Fosso Wamba, 2020 ; Pourkhani et al., 2019 ). It was specifically used to analyse the sources, documents, conceptual, and intellectual structure of AI in e-commerce research. Publication sources and their source impacts were analysed based on their h-index quality factors (Hirsch, 2010 ). The most significant, impactful, prestigious, influential, and quality publication sources, affiliations, and countries regarding research on AI in e-commerce were identified. This contributed to the identification of the most relevant disciplines in this area of research. Documents were analysed using total citations to identify the most cited documents in the dataset. Through content analysis, the most relevant topics/concepts, AI technologies/techniques, research methods, and application domains were identified.

Furthermore, citation analysis and reference publication year spectroscopy (RPYS) were used to identify research contributions that form the foundations of research on AI in e-commerce (Marx et al., 2014 ; Rhaiem & Bornmann, 2018 ). These techniques were also used to identify the most significant changes in the research area. Co-word network analysis on author-provided keywords using the Louvain clustering algorithm was used to understand the research area's conceptual structure. This algorithm is a greedy optimisation method used to identify communities in large networks by comparing the density of links inside communities with links between communities (Blondel et al., 2008 ). This study used it to identify key research themes by analysing author-provided keywords. Co-citation network analysis using the Louvain clustering algorithm was also used to analyse publication sources through which journals communities were identified. It further contributed to identifying the most relevant disciplines in this research area by revealing journal clusters.

The bibliometric analysis results were reported from functionalist, normative, and interpretive perspectives (Hassan & Loebbecke, 2017 ). The functionalist perspective presents the results of the key concepts and topics investigated in this research area. The normative perspective focuses on the foundations and norms of the research area. The interpretive perspective emphasises the main themes that drive AI in e-commerce research.

Literature review

An extensive review and classification of IS literature on AI in e-commerce complemented the bibliometric analysis. It provides more details on how research in this area is conducted in the IS discipline. The review was delimited to the most impactful and influential management information systems (MIS) journals identified during the bibliometric analysis and completed by other well-established MIS journals known for their contributions to e-commerce research (Ngai & Wat, 2002 ; Wareham et al., 2005 ). Thus, 20 journals were selected for this review: Decision sciences, Decision support systems, Electronic commerce research and applications, Electronic markets, E-service journal, European journal of information systems, Information and management, Information sciences, Information systems research, International journal of electronic commerce, International journal of information management, Journal of information systems, Journal of information technology, Journal of management information systems, Journal of organisational computing and electronic commerce, Journal of strategic information systems, Journal of the association for information systems, Knowledge-based systems, Management science, MIS Quarterly .

The literature review was conducted in three stages (Templier & Paré, 2015 ; Webster & Watson, 2002 ): (i) identify and analyse all relevant articles from the targeted journals found in the bibliometric dataset (ii) use the keyword string to search for other relevant articles found on the official publication platforms of the targeted journals, and (iii) identify relevant articles from the references of the articles identified in stages one and two found within the target journals. All articles with content that did not focus on AI in e-commerce were eliminated. This process led to a final dataset of 229 research articles on AI in e-commerce. The articles were classified into three main categories: by topic area (Ngai & Wat, 2002 ), by research style (Wareham et al., 2005 ), and by research themes (from bibliometric analysis).

Classification by topic area involved classifying relevant literature into four broad categories: (i) applications, (ii) technological issues, (iii) support and implementation, and (iv) others. Applications refer to the specific domain in which the research was conducted (marketing, advertising, retailing…). Technological issues contain e-commerce research by AI technologies, systems, algorithms, or methodologies that support or enhance e-commerce applications. Support and Implementation include articles that discuss how AI supports public policy and corporate strategy. Others contain all other studies that do not fall into any of the above categories. It includes articles on foundational concepts, adoption, and usage. Classification by research style involved organizing the relevant literature by type of AI studied, the research approach, and the research method used in the studies. The research themes identified in the bibliometric analysis stage were used to classify the relevant IS literature by research theme.

Results of the bibliometric analysis

Scientific publications on AI in e-commerce began in 1991 with an annual publication growth rate of 10.45%. Figure 2 presents the number of publications per year. Observe the steady increase in the number of publications since 2013.

Number of publications on AI in e-commerce per year

Institutions in Asia, especially China, are leading this research area. The leading institution is Beijing University of Posts and Telecommunications, with 88 articles, followed by Hong Kong Polytechnic University with 84 articles. Table 2 presents the top 20 institutions publishing on AI in e-commerce.

As expected, China-based affiliations appear most frequently in publications (4261 times). They have over 2.5 times as many appearances as US-based affiliations (1481 times). Interestingly, publications with US-based affiliations attract more citations than those in China. Table 3 presents the number of times authors from a given country feature in publications and the corresponding total number of citations.

Functional perspective

Analysing the most globally cited documents Footnote 2 in the dataset (those with 100 citations) reveals that recommender systems are the main topic of interest in this research area (Appendix Table 10 ). Recommender systems are software agents that make recommendations for consumers by implicitly or explicitly evoking their interests or preferences (Bo et al., 2007 ). The topic has been investigated in many flavours, including hybrid recommender systems (Burke, 2002 ), personalised recommender systems (Cho et al., 2002 ), collaborative recommender systems (Lin et al., 2002 ) and social recommender systems (Li et al., 2013 ). The central concept of interest is personalisation, specifically leveraging recommender systems to offer more personalised product/service recommendations to customers using e-commerce platforms. Thus, designing recommender systems that surpass existing ones is the leading orientation of AI in e-commerce research. Researchers have mostly adopted experimental rather than theory-driven research designs to meet this overarching research objective. Research efforts focus more on improving the performance of recommendations using advanced AI algorithms than on understanding and modelling the interests and preferences of individual consumers. Nevertheless, the advanced AI algorithms developed are trained primarily using customer product reviews.

Interpretive perspective

Four themes characterise research on AI in e-commerce: sentiment analysis, trust & personalisation, optimisation, AI concepts, and related technologies. The keyword clusters that led to the identification of these themes are presented in Table 4 . The sentiment analysis theme represents the stream of research focused on interpreting and classifying emotions and opinions within text data in e-commerce using AI techniques like ML and natural language processing (NLP). The trust and personalisation theme represents research that focuses on establishing trust and making personalised recommendations for consumers in e-commerce using AI techniques like collaborative filtering, case-based reasoning, and clustering algorithms. The optimisation theme represents research that focuses on using AI algorithms like genetic algorithms to solve optimisation problems in e-commerce. Finally, the AI concepts and related technologies theme represent research that focuses on using different techniques and concepts used in the research area.

Normative perspective

Research on AI in e-commerce is published in two main journal subject areas: computer science & AI and business & management. This result confirms the multidisciplinary nature of this research area, which has both business and technical orientations. Table 5 presents the most active publication outlets in each subject area. The outlets listed in the table could help researchers from different disciplines to select the proper outlet for their research results. It could also help researchers identify the outlets wherein they are most likely to find relevant information for their research on AI in e-commerce.

However, some disciplines set the foundations and standards of research on AI in e-commerce through the impact of their contributions to its body of knowledge. Analysing document references shows that the most cited contributions come from journals in the IS, computer science, AI, management science, and operations research disciplines (Table 6 ). It shows the importance of these disciplines to AI's foundations and standards in e-commerce research and their major publication outlets.

The IS discipline is a significant contributor to AI in e-commerce research, given that 24 out of the 40 top publications in the area can be assimilated to IS sources. Table 7 also shows that 7 out of the top 10 most impactful publication sources are assimilated to the IS discipline. The leading paper from the IS field reviews approaches to automatic schema matching (Rahm & Bernstein, 2001 ) and it is the second most globally cited paper in the research area. Meanwhile, the leading paper from the MIS subfield reviews recommender system application developments (Lu et al., 2015 ).

Collaborative filtering, recommender systems, social information filtering, latent Dirichlet allocation, and matrix factoring techniques are the foundational topics in research on AI in e-commerce (Table 8 ). They were identified by analysing the most cited references in the dataset. These references were mostly literature reviews and documents that discussed the basic ideas and concepts behind specific technologies or techniques used in recommender systems.

Furthermore, the specific documents that set the foundations of research on AI in e-commerce and present the most significant historical contributions and turning points in the field were identified using RPYS (Appendix Table 11 ). 2001, 2005, 2007, 2011, and 2015 are the years with the highest number of documents referenced by the documents in the sample. The most cited studies published in 2001 focused on recommendation algorithms, especially item-based collaborative filtering, random forest, gradient boosting machine, and data mining. The main concept of interest was how to personalise product recommendations. In 2005, the most referenced documents focused on enhancing recommendation systems using hybrid collaborative filtering, advanced machine learning tools and techniques, and topic diversification. That year also contributed a solid foundation for research on trust in recommender systems. In 2007, significant contributions continued on enhanced collaborative filtering techniques for recommender systems. Meanwhile, Bo & Benbasat ( 2007 ) set the basis for research on recommender systems' characteristics, use, and impact, shifting from traditional studies focused on underlying algorithms towards a more consumer-centric approach. In 2011, major contributions were made to enhance recommender systems, like developing a new library for support vector machines (Chang & Lin, 2011 ) and the Scikit-learn package for machine learning in Python (Pedregosa et al., 2011 ). In 2015, the most critical contributions primarily focused on deep learning algorithms, especially with an essential contribution to using them in recommender systems (Wang et al., 2015 ).

Results of the literature review study

Classification by topic area.

Most articles on AI in e-commerce focus on technological issues (107 articles, 47%), followed by applications (87 articles, 38%), support and implementation (20 articles, 9%), then others (15 articles, 6%). Specifically, most articles focus on AI algorithms, models, and methodologies that support or improve e-commerce applications (76 articles, 33.2%) or emphasise the applications of AI in marketing, advertising, and sales-related issues (38 articles, 16.6%). Figure 3 presents the distribution of articles, while Appendix Table 12 presents the articles in each topic area.

Classification of MIS literature on AI in e-commerce by topic area

Classification by research style

Most authors discuss AI algorithms, models, computational approaches, or methodologies (168 articles, 73%). Specifically, current research focuses on how AI algorithms like ML, deep learning (DL), NLP, and related techniques could be used to model and understand phenomena in the e-commerce environment. It also focuses on studies that involve designing intelligent agent algorithms that support learning processes in e-commerce systems. Many studies also focus on AI as systems (31 articles, 14%), especially on recommender systems and expert systems that leverage AI algorithms in the back end. The “others” category harboured all articles that did not clearly refer to AI as either an algorithm or as a system (30 articles, 13%) (see Fig. 4 and Appendix Table 13 ).

Classification of MIS literature on AI in e-commerce by type of AI

Furthermore, most publications use the design science research approach (198 articles, 86%). Researchers prefer this approach because it allows them to develop their algorithms and models or improve existing ones, thereby creating a new IS artefact (see Fig. 5 and Appendix Table 14 ).

Classification of MIS literature on AI in e-commerce by research approach

Also, authors adopt experimental methods in their papers (157 articles, 69%), especially those who adopted a design science research approach. They mostly use experiments to test their algorithms or prove their concepts (see Fig. 6 and Appendix Table 15 ).

Classification of MIS literature on AI in e-commerce by research method

Classification by research theme

Based on the main research themes on AI in e-commerce identified during the bibliometric analysis, most authors published on optimisation (63 articles, 27%). They mostly focused on optimising recommender accuracy (25 articles), prediction accuracy (29 articles), and other optimisation aspects (9 articles) like storage optimisation. This trend was followed by publications on trust & personalisation (31 articles, 14%), wherein more articles were published on personalisation (17 articles) than on trust (14 articles). Twenty-nine articles focused on sentiment analysis (13%). The rest of the papers focus on AI design, tools and techniques (46 articles), decision support (30 articles), customer behaviour (13 articles), AI concepts (9 articles), and intelligent agents (8 articles) (see Fig. 7 and Appendix Table 16 ).

Classification of MIS literature on AI in e-commerce by current research themes

This study's overall objective was to synthesise research on AI in e-commerce and propose avenues for future research. Thus, it sought to answer two research questions: (i) what is the current state of research on AI in e-commerce? (ii) what research should be done next on AI in e-commerce in general and within IS research in particular? This section summarises the findings of the bibliometric analysis and literature review. It highlights some key insights from the results, starting with the leading role of China and the USA in this research area. This highlight is followed by discussions on the focus of current research on recommender systems, the extensive use of design science and experiments in this research area, and a limited focus on modelling consumer behaviour. This section also discusses the little research found on some research themes and the limited number of publications from some research areas. Implications for research and practice are discussed at the end of this section.

Need for more research from other countries

Research on AI in e-commerce has been rising steadily since 2013. Overall, these results indicate a growing interest in the applications of AI in e-commerce. China-based institutions lead this research area, although US-based affiliations attract more citations. Tables 2 and 3 indicate that China is in the leading position regarding research on AI in e-commerce. Observe that Amazon Inc. (USA), JD.com (China), Alibaba Group Holding Ltd. (China), Suning.com (China), Meituan (China), Wayfair (USA), eBay (USA), and Groupon (USA) are referenced among the largest e-commerce companies in the world (in terms of market capitalisation, revenue, and the number of employees). Footnote 3 These companies are primarily from China and the USA. These findings correlate with Table 3 , which could indicate that China and the USA are investing more in the research and development of AI applications in e-commerce (especially China, based on Table 2 ) because of the positions they occupy in the industry. This logic would imply that companies seeking to penetrate the e-commerce industry and remain competitive should also consider investing more in the research and development of AI applications in the area. The list of universities provided could become partner universities for countries with institutions that have less experience in the research area. Especially with the COVID-19 pandemic, e-commerce has become a global practice. Thus, other countries need to contribute more research on the realities of e-commerce in their respective contexts to develop more globally acceptable AI solutions in e-commerce practices. It is essential because different countries approach e-commerce differently. For example, although Amazon’s marketplace is well-developed in continents like Europe, Asia, and North America, it has difficulty penetrating Africa because the context is very different (culturally and infrastructurally). While mobile wallet payment systems are fully developed on the African continent, Amazon’s marketplace does not accommodate this payment method. Therefore, it would be impossible for many Africans to use Amazon’s Alexa to purchase products online. What does this mean for research on digital inclusion? Are there any other cross-cultural differences between countries that affect the adoption and use of AI in e-commerce? Are there any legal boundaries that affect the implementation and internationalisation of AI in e-commerce? Such questions highlight the need for more country-specific research on AI in e-commerce to ensure more inclusion.

Focus on recommender systems

AI in e-commerce research is essentially focused on recommender systems in the past years. The results indicate that in the last 20 years, AI in e-commerce research has primarily focused on using AI algorithms to enhance recommender systems. This trend is understandable because recommender systems have become an integral part of almost every e-commerce platform nowadays (Dokyun Lee & Hosanagar, 2021 ; Stöckli & Khobzi, 2021 ). As years go by, observe how novel AI algorithms have been proposed, the most recent being deep learning (Chaudhuri et al., 2021 ; Liu et al., 2020 ; Xiong et al., 2021 ; Zhang et al., 2021 ). Thus, researchers are increasingly interested in how advanced AI algorithms can enable recommender systems in e-commerce platforms to correctly interpret external data, learn from such data, and use those learnings to improve the quality of user recommendations through flexible adaptation. With the advent of AI-powered chatbots and voice assistants, firms increasingly include these technologies in their e-commerce platforms (Ngai et al., 2021 ). Thus, researchers are increasingly interested in conversational recommender systems (De Carolis et al., 2017 ; Jannach et al., 2021 ; Viswanathan et al., 2020 ). These systems can play the role of recommender systems and interact with the user through natural language (Iovine et al., 2020 ). Thus, conversational recommender systems is an up-and-coming research area for AI-powered recommender systems, especially given the ubiquitous presence of voice assistants in society today. Therefore, researchers may want to investigate how conversational recommender systems can be designed effectively and the factors that influence their adoption.

Limited research themes

The main research themes in AI in e-commerce are sentiment analysis, trust, personalisation, and optimisation. Researchers have focused on these themes to provide more personalised recommendations to recommendation system users. Personalising recommendations based on users’ sentiment and trust circle has been significantly researched. Extensive research has also been conducted on how to optimise the algorithmic performance of recommender systems. ML, DL, NLP are the leading AI algorithms and techniques currently researched in this area. The foundational topics for applying these algorithms include collaborative filtering, latent Dirichlet allocation, matrix factoring techniques, and social information filtering.

Current research shows how using AI for personalisation would enable firms to deliver high-quality customer experiences through precise personalisation based on real-time information (Huang & Rust, 2018 , 2020 ). It is highly effective in data-rich environments and can help firms to significantly improve customer satisfaction, acquisition, and retention rates, thereby ideal for service personalisation (Huang & Rust, 2018 ). AI could enable firms to personalise products based on preferences, personalise prices based on willingness to pay, personalise frontline interactions, and personalise promotional content in real-time (Huang & Rust, 2021 ).

Research also shows how AI could help firms optimise product prices by channel and customer (Huang & Rust, 2021 ; Huang & Rust, 2020 ) and develop accurate and personalised recommendations for customers. It is beneficial when the firm lacks initial data on customers that it can use to make recommendations (cold start problem) (Guan et al., 2019 ; Wang, Feng, et al., 2018 ; Wang, Jhou, et al., 2018 ; Wang, Li, et al., 2018 ; Wang, Lu, et al., 2018 ). It also gives firms the ability to automatically estimate optimal prices for their products/services and define dynamic pricing strategies that increase profits and revenue (Bauer & Jannach, 2018 ; Greenstein-Messica & Rokach, 2018 ). It also gives firms the ability to predict consumer behaviours like customer churn (Bose & Chen, 2009 ), preferences based on their personalities (Buettner, 2017 ), engagement (Ayvaz et al., 2021 ; Sung et al., 2021 ; Yim et al., 2021 ), and customer payment default (Vanneschi et al., 2018 ). AI also gives firms the ability to predict product, service, or feature demand and sales (Cardoso & Gomide, 2007 ; Castillo et al., 2017 ; Ryoba et al., 2021 ), thereby giving firms the ability to anticipate and dynamically adjust their advertising and sales strategies (Chen et al., 2014 ; Greenstein-Messica & Rokach, 2020 ). Even further, it gives firms the ability to predict the success or failure of these strategies (Chen & Chung, 2015 ).

Researchers have shown that using AI to build trust-based recommender systems can help e-commerce firms increase user acceptance of the recommendations made by e-commerce platforms (Bedi & Vashisth, 2014 ). This trust is created by accurately measuring the level of trust customers have in the recommendations made by the firm’s e-commerce platforms (Fang et al., 2018 ) or by making recommendations based on the recommendations of people the customers’ trust in their social sphere (Guo et al., 2014 ; Zhang et al., 2017 ).

Sentiment analytics using AI could give e-commerce firms the ability to provide accurate and personalised recommendations to customers by assessing their opinions expressed online such as through customer reviews (Al-Natour & Turetken, 2020 ; Qiu et al., 2018 ). It has also proven effective in helping brands better understand their customers over time and predict their behaviours (Das & Chen, 2007 ; Ghiassi et al., 2016 ; Pengnate & Riggins, 2020 ). For example, it helps firms better understand customer requirements for product improvements (Ou et al., 2018 ; Qi et al., 2016 ) and predict product sales based on customer sentiments (Li, Wang, et al., 2019 ; Li, Wu, et al., 2019 ; Li, Zhang, et al., 2019 ). Thus, firms can accurately guide their customers towards discovering desirable products (Liang & Wang, 2019 ) and predict the prices they would be willing to pay for products based on their sentiments (Tseng et al., 2018 ). Thus, firms that use AI-powered sentiment analytics would have the ability to constantly adapt their product development, sales, and pricing strategies while improving the quality of their e-commerce services and personalised recommendations for their customers.

While the current research themes are exciting and remain relevant in today’s context, it highlights the need for researchers to explore other research themes. For example, privacy, explainable, and ethical AI are trendy research themes in AI research nowadays. These themes are relevant to research on AI in e-commerce as well. Thus, developing these research themes would make significant contributions to research on AI in e-commerce. In the IS discipline, marketing & advertising is where AI applications in e-commerce have been researched the most. This finding complements Davenport et al. ( 2020 )’s argument, suggesting that marketing functions have the most to gain from AI. Most publications focus on technological issues like algorithms, support systems, and security. Very few studies investigated privacy, and none was found on topics like ethical, explainable, or sustainable AI. Therefore, future research should pay more attention to other relevant application domains like education & training, auctions, electronic payment systems, inter-organisational e-commerce, travel, hospitality, and leisure (Blöcher & Alt, 2021 ; Manthiou et al., 2021 ; Neuhofer et al., 2021 ). To this end, questions that may interest researchers include, what are the privacy challenges caused by using AI in e-commerce? How can AI improve e-commerce services in education and training? How can AI improve e-commerce services in healthcare? How can AI bring about sustainable e-commerce practices?

Furthermore, research on AI in e-commerce is published in two main journal categories: computer science & AI and business & management. Most citations come from the information systems, computer science, artificial intelligence, management science, and operations research disciplines. Thus, researchers interested in research on AI in e-commerce are most likely to find relevant information in such journals (see Tables 5 and 6 ). Researchers seeking to publish their research on AI in e-commerce can also target such journals. However, researchers are encouraged to publish their work in other equally important journal categories. For example, law and government-oriented journals would greatly benefit from research on AI in e-commerce. International laws and government policies could affect how AI is used in e-commerce. For example, due to the General Data Protection Regulation (GDPR), how firms use AI algorithms and applications to analyse user data in Europe may differ from how they would in the US. Such factors may have profound performance implications given that AI systems are as good as the volume and quality of data they can access for analysis. Thus, future research in categories other than those currently researched would benefit the research community.

More experiment than theory-driven research

Most of the research done on AI in e-commerce have adopted experimental approaches. Very few adopted theory-driven designs. This trend is also observed in IS research, where 69% of the studies used experimental research methods and 86% adopted a design science research approach instead of the positivist research approach often adopted in general e-commerce research (Wareham et al., 2005 ). However, this study's findings complement a recent review that shows that laboratory experiments and secondary data analysis were becoming increasingly popular in e-commerce research. Given that recommender systems support customer decision-making, this study also complements recent studies that show the rising use of design science research methods in decision support systems research (Arnott & Pervan, 2014 ) and in IS research in general (Jeyaraj & Zadeh, 2020 ). This finding could be explained by the fact that researchers primarily focused on enhancing the performance of AI algorithms used in recommender systems. Therefore, to test the performance of their algorithms in the real world, the researchers have to build a prototype and test it in real-life contexts. Using performance accuracy scores, the researchers would then tell the extent to which their proposed algorithm is performant. However, ML has been highlighted as a powerful tool that can help advance theory in behavioural IS research (Abdel-Karim et al., 2021 ). Therefore, key research questions on AI in e-commerce could be approached using ML as a tool for theory testing in behavioural studies. Researchers could consider going beyond using AI algorithms for optimising recommender systems to understand its users' behaviour. In Fig. 4 , observe that 73% of IS researcher papers reviewed approached AI as an algorithm or methodology to solve problems in e-commerce. Only 14% approached AI as a system. Researchers can adopt both approaches in the same study in the sense that they can leverage ML algorithms to understand human interactions with AI systems, not just for optimisation. This approach could provide users with insights by answering questions regarding the adoption and use of AI systems.

Furthermore, only 6% of the studies focus on consumer behaviour. Thus, most researchers on AI in e-commerce this far have focused more on algorithm performance than on modelling the behaviour of consumers who use AI systems. It is also clear that behavioural aspects of using recommender systems are often overlooked (Adomavicius et al., 2013 ). There is relatively limited research on the adoption, use, characteristics, and impact of AI algorithms or systems on its users. This issue was raised as a fundamental problem in this research area (Bo et al., 2007 ) and seems to remain the case today. However, understanding consumer behaviour could help improve the accuracy of AI algorithms. Thus, behavioural science researchers need to conduct more research on modelling consumer behaviours regarding consumers' acceptance, adoption, use, and post-adoption behaviours targeted by AI applications in e-commerce. As AI algorithms, systems, and use cases multiply in e-commerce, studies explaining their unique characteristics, adoption, use, and impact at different levels (individual, organisational, and societal) should also increase. It implies adopting a more theory-driven approach to research on AI in e-commerce. Therefore, behavioural science researchers should be looking into questions on the behavioural factors that affect the adoption of AI in e-commerce.

Implications for research

This study contributes to research by innovatively synthesising the literature on AI in e-commerce. Despite the recent evolution of AI and the steady rise of research on how it could affect e-commerce environments, no review has been conducted to understand this research area's state and evolution. Yet, a recent study shows that e-commerce and AI are currently key research topics and themes in the IS discipline (Jeyaraj & Zadeh, 2020 ). This paper has attempted to fill this research gap by providing researchers with a global view of AI research in e-commerce. It offers a multidimensional view of the knowledge structure and citation behaviour in this research area by presenting the study's findings from functional, normative, and interpretive perspectives. Specifically, it reveals the most relevant topics, concepts, and themes on AI in e-commerce from a multidisciplinary perspective.

This contribution could help researchers evaluate the value and contributions of their research topics in the research area with respect to other disciplines and choose the best publication outlets for their research projects. This study also reveals the importance of AI in designing recommender systems and shows the foundational literature on which this research area is built. Thus, researchers could use this study to design the content of AI or e-commerce courses in universities and higher education institutions. Its content provides future researchers and practitioners with the foundational knowledge required to build quality recommender systems. Researchers could also use this study to inform their fields on the relevance of their research topics and the specific gaps to fill therein. For example, this study reveals the extent to which the IS discipline has appropriated research on AI in e-commerce. It also shows contributions of the IS discipline to the current research themes, making it easier for IS researchers to identify research gaps as well as gaps between IS theory and practice.

Implications for practice

This study shows that AI in e-commerce primarily focuses on recommender systems. It highlights sentiment analysis, optimisation, trust, and personalisation as the core themes in the research area. Thus, managers could tap into these resources to improve the quality of their recommender systems. Specifically, it could help them understand how to develop optimised, personalised, trust-based and sentiment-based analytics supported by uniquely designed AI algorithms. This knowledge would make imitating or replicating the quality of recommendations rendered through e-commerce platforms practically impossible for competitors. Firms willing to use AI in e-commerce would need unique access and ownership of customer data, AI algorithms, and expertise in analytics (De Smedt et al., 2021 ; Kandula et al., 2021 ; Shi et al., 2020 ). The competition cannot imitate these resources because they are unique to the firm, especially if patented (Pantano & Pizzi, 2020 ). Also, this research paper classifies IS literature on AI in e-commerce by topic area, research style, and research theme. Thus, IS practitioners interested in implementing AI in e-commerce platforms would easily find the research papers that best meet their needs. It saves them the time to search for articles themselves, which may not always be relevant and reliable.

Limitations

This study has some limitations. It was challenging to select a category for each article in the sample dataset. Most of those articles could be rightfully placed in several categories of the classification frameworks. However, assigning articles to a single category in each framework simplifies the research area's conceptualisation and understanding (Wareham et al., 2005 ). Thus, categories were assigned to each article based on the most apparent orientation from the papers' titles, keywords, and abstracts. Another challenge was whether or not to include a research paper in the review. For example, although some studies on recommender systems featured in the keyword search results, the authors did not specify if the system's underlying algorithms were AI algorithms. Consequently, such articles were not classified to ensure that those included in this review certainly had an AI orientation. Despite our efforts, we humbly acknowledge that this study may have missed some publications, and others may have been published since this paper started the review process. Thus, in no way does this study claim to be exhaustive but rather extensive. Nonetheless, the findings from our rigorous literature review process strongly match the bibliometric analysis findings and those from similar studies we referenced. Therefore, we believe our contributions to IS research on AI in e-commerce remain relevant.

Future research

In addition to recommendations for future research discussed in the previous sections, the findings of this study are critically analysed through the lens of recent AI research published in leading IS journals. The aim is to identify other potential gaps for future research on AI in e-commerce that could interest the IS community.

One of the fundamental issues with AI research in IS today is understanding the AI concept (Ågerfalk, 2020 ). Our findings show that researchers have mostly considered algorithms and techniques like ML, DL, and NLP AI in their e-commerce research. Are these algorithms and techniques AI? Does the fact that an algorithm helps to analyse data and make predictions about e-commerce activities mean that the algorithm is AI? It is crucial for researchers to clearly explain what they mean by AI and differentiate between different types of AI used in their studies to avoid ambiguity. This explanation would help prevent confusion between AI and business intelligence & analytics in e-commerce. It would also help distinguish between AI as a social actor and AI as a technology with the computational capability to perform cognitive functions.

A second fundamental issue with AI research in IS is context (Ågerfalk, 2020 ). Using the same data, an AI system would/should be able to interpret the message communicated or sought by the user based on context. Context gives meaning to the data, making the AI system’s output relevant in the real world. Research on AI in e-commerce did not show much importance to context. Many authors used existing datasets to test their algorithms without connecting them to a social context. Thus, it is difficult to assess whether the performance of the proposed algorithms is relevant in every social context. Future research should consider using AI algorithms to analyse behavioural data alongside ‘hard’ data (facts) to identify patterns and draw conclusions in specific contexts. It implies answering the crucial question, what type of AI best suits which e-commerce context? Thus, researchers would need to collaborate with practitioners to better understand and delineate contexts (Ågerfalk, 2020 ) of investigation rather than make general claims on fraud detection or product prices, for example.

The IS community is also interested in understanding ethical choices and challenges organisations face when adopting AI systems and algorithms. What ethical decisions do e-commerce firms need to make when implementing AI solutions? What are the ethical challenges e-commerce firms face when implementing AI solutions? Following a sociotechnical approach, firms seeking to implement AI systems need to make ethical choices. These include transparent vs black-boxed algorithms, slow & careful vs expedited & timely designs, passive vs active implementation approach, obscure vs open system implementation, compliance vs risk-taking, and contextualised vs standardised use of AI systems (Marabelli et al., 2021 ). Thus, future research on AI in e-commerce should investigate how e-commerce firms address these ethical choices when implementing their AI solutions and the challenges they face in the process.

AI and the future of work is another primary source of controversy in the IS community (Huysman, 2020 ; Willcocks, 2020a , b ). Several researchers are investigating how AI is transforming the work configurations of organisations. Workplace technology platforms are increasingly observed to integrate office applications, social media features and AI-driven self-learning capabilities (Baptista et al., 2020 ; Grønsund & Aanestad, 2020 ; Lyytinen et al., 2020 ). Is this emergent digital/human work configuration also happening in e-commerce firms? How is this changing the future of work in the e-commerce industry?

IS researchers have increasingly called for research on how AI transforms decision making. For example, they are interested in understanding how AI could help augment mental processing, change managerial mindsets and actions, and affect the rationality of economic agents (Brynjolfsson et al., 2021 ). A recent study also makes several research propositions for IS researchers regarding conceptual and theoretical development, AI-human interaction, and AI implementation in the context of decision making (Duan et al., 2019 ). This study shows that decision-making is not a fundamental research theme as it accounts for only 13% of the research papers reviewed. Thus, future research on AI in e-commerce should contribute to developing this AI research theme in the e-commerce context. It involves proposing answers to questions like how AI affects managerial mindsets and actions in e-commerce? How is AI affecting the rationality of consumers who use e-commerce platforms?

This study shows that relatively few research papers on AI in e-commerce are theory-driven. Most adopted experimental research methods and design science research approaches wherein they use AI algorithms to explain phenomena. The IS community is increasingly interested in developing theories using AI algorithms (Abdel-Karim et al., 2021 ). Contrary to traditional theory development approaches, such theories developed based on AI algorithms like ML are called to be focused, context-specific, and as transparent as possible (Chiarini Tremblay et al., 2021 ). Thus, rather than altogether abandoning the algorithm-oriented approach used for AI in e-commerce research, researchers who master it should develop skills to use it as a basis for theorising.

Last but not least, more research is needed on the role of AI-powered voice-based AI in e-commerce. It is becoming common for consumers to use intelligent personal assistants like Google’s Google Assistant, Amazon’s Alexa, and Apple’s Siri for shopping activities since many retail organisations are making them an integral part of their e-commerce platforms (de Barcelos Silva et al., 2020 ). Given the rising adoption of smart speakers by consumers, research on voice commerce should become a priority for researchers on AI in e-commerce. Yet, this study shows that researchers are still mostly focused on web-based, social networking (social commerce), and mobile (m-commerce) platforms. Therefore, research on the factors that affect the adoption and use of voice assistants in e-commerce and the impact on consumers and e-commerce firms would make valuable contributions to e-commerce research. Table 9 summarises the main research directions recommended in this paper.

Conclusions

AI has emerged as a technology that can differentiate between two competing firms in e-commerce environments. This study presents the state of research of AI in e-commerce based on bibliometric analysis and a literature review of IS research. The bibliometric analysis highlights China and the USA as leaders in this research area. Recommender systems are the most investigated technology. The main research themes in this area of research are optimisation, trust & personalisation, sentiment analysis, and AI concepts & related technologies. Most research papers on AI in e-commerce are published in computer science, AI, business, and management outlets. Researchers in the IS discipline has focused on AI applications and technology-related issues like algorithm performance. Their focus has been more on AI algorithms and methodologies than AI systems. Also, most studies have adopted a design science research approach and experiment-style research methods. In addition to the core research themes of the area, IS researchers have also focused their research on AI design, tools and techniques, decision support, consumer behaviour, AI concepts, and intelligent agents. The paper discusses opportunities for future research revealed directly by analysing the results of this study. It also discusses future research directions based on current debates on AI research in the IS community. Thus, we hope that this paper will help inform future research on AI in e-commerce.

Download the bibliometrix R package and read more here: https://www.bibliometrix.org/index.html

Global citation refers to the total number of times the document has been cited in other documents in general and local citations refer to the total number of times a document has been cited by other documents in our dataset.

https://axiomq.com/blog/8-largest-e-commerce-companies-in-the-world/

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Bawack, R.E., Wamba, S.F., Carillo, K.D.A. et al. Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electron Markets 32 , 297–338 (2022). https://doi.org/10.1007/s12525-022-00537-z

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eCommerce Dissertation Topics That Will Help You Get A Job!

Date published August 8 2020 by Babara Neil

eCommerce is the buying and selling of goods online. But there are many aspects to it. Many students don’t realize that choosing an industry-relevant eCommerce dissertation topic has perks in a professional career. Dissertation topics are mentioned on the resume to prove that you have conducted relevant scholarly research before applying for a job. If you are a fresh graduate with no experience, then a dissertation on the field you are willing to join would significantly contribute towards scoring a job.

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The role of search engines in generating revenue for eCommerce stores in the UK.
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The effects of branding on the sales of eCommerce websites in the UK.
The role of conventional marketing in facilitating sales for eCommerce stores in the UK.
The effects of targeting the right audience vs. doing mass marketing for eCommerce stores.
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An evaluation of the decision-making process of customers in comparison with eCommerce and m-commerce businesses in the UK.
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Best 10 Commerce Project Ideas & Topics

Topic 1: Impact of Outsourcing Material Availability Decision-Making
Topic 2: Enhancing Employee Performance Through Monetary Incentives

Topic 3: Outsourcing Human Resource in Beverage and Food Firms

Topic 4: role of e-commerce in reducing operational cost, topic 5: reducing unemployment through a co-operative movement, topic 6: an analysis of the downside of co-operative thrift and credit society, topic 7: analysis of the role of insurance companies in driving growth of smes.

Topic 8: Implications of Globalization on National Security

Topic 9: Exploring the Significance of Commerce in Today’s World

Topic 10: the significance of e-commerce in emerging markets, topic 11: public sector bank’s future in the country, topic 12: impact of covid on indian economy.

Read the full article to know more about the project Ideas & Topics in detail.

Commerce is fundamental to the success of any business. To streamline trading operations and maintain profits, the industry must focus on commerce, which deals with a lot more than just selling and buying. As the world is digitizing, eCommerce solutions are increasingly becoming common. The advent of machine learning and AI has further enhanced the effectiveness of eCommerce. While the world is moving fast, it is important to upskill ourselves to get the edge over the competitors. upGrad offers some of the best free courses for working professionals to compete in the market.

Why is Commerce important?

With the global economy projected to achieve the US$100 trillion milestone in 2022, it is not surprising that commerce has established itself as a vital stream. So, whether you are deciding on your 6th sem project topics , writing a dissertation on online shopping project topics , or compiling a “ Project topics for commerce students” pdf , you will have to consider the role of commerce in the real world.

As a society, most of our activities revolve around buying and selling goods and services. At some level, we are all economic actors. Right at this very moment, you must be reading this article on a gadget you bought from a retailer. It’s next to impossible to not depend on the market for our needs today.

In fact, as a Commerce graduate, you will have to depend on the market as a salaried employee, a business owner, or an entrepreneur. You will have to sell your services or products to buy other services and products. In some capacity, commerce will become a part of your life.

The business of buying and selling is at the heart of commerce. As a student of commerce, this view of commerce would be an over-simplification. If you were to browse articles related to commerce stream or look up commerce topics for presentation , you would come across a diversity of topics. The discipline covers a multitude of subjects beyond just buying and selling activities, such as accounting, labor relations, supply chain management, and financial markets.

Whether you are taking a micro or macro-view, trade and commerce play a role in our everyday lives as members of a household, community, nation, or the world. You might pick up a newspaper article telling you about global inflation- there is commerce involved.

Further, with globalization and the advancement of technology, world commerce has transformed. And commerce as a discipline has had to evolve with these shifts and will continue to do so. For example, online shopping project topics exploring the role of digital technology and the impact of globalization on economies is one of the more popular commerce topics for presentation .

As it directly or indirectly impacts a large section of the world population, e-commerce is a notable topic of discussion amongst graduate and post-graduate students of commerce. Working on projects to find solutions to trade-related issues, and explore operational challenges, among others is an important part of their curriculum.

Given the vast pool of trending commerce project ideas, it may be difficult to choose a topic for your project. Commerce encompasses various business domains, with trade and selling being the pertinent ones. You require deep analysis and understanding to pick a topic that serves your interests and career goals. If analytics is your forte, and if you want to hone your skills, consider pursuing our business analytics certificate designed specifically for analytics aspirants.

In this article, we have compiled a list of interesting and innovative commerce project ideas to help you with your project. Irrespective of the topic you choose for your final project, you stand to gain immense knowledge and expertise to leverage exciting career opportunities.

How to Choose a Good Project Topic for the Commerce Project For Final Year Students?

Choosing a topic for your m.com final year project topics is a crucial decision that requires careful consideration and no doubt guidance. The right topic can make your project engaging, insightful, and valuable. So, keeping the above points in mind, here are some points to help you select a Trending project topics for commerce students for your project: –

Interest and Passion

Always choose that topic in which you have great interest. The reason being when you have interest in the subject, you will give your 100% making it more enjoyable and likely resulting in a better outcome.

Relevance to Commerce

Ensure that the topic is directly related to commerce. It could be a current trend, an emerging issue, or a classic concept you want to explore in depth.

Narrow and Focused

A broad topic can be overwhelming and challenging to cover in depth. So, narrow down your focus to a specific aspect or sub-topic within commerce. For example, instead of “Global E-Commerce Trends,” you could focus on “The Impact of Social Media on Online Retail Sales.”

Originality and Uniqueness

While some topics are popular and well-studied, try to bring a unique perspective or angle to your chosen topic. Look for gaps in existing research or areas that haven’t been explored extensively.

Feasibility

Consider the availability of resources, data, and information related to your chosen topic. Ensure you can access enough credible sources to support your research and analysis.

Practical Application

Choose a topic that has real-world relevance and application. Consider how your findings could be applied in business settings or how they might address a practical issue.

Current and Emerging Trends

Topics related to current trends, technological advancements, or emerging practices in commerce tend to capture attention. They showcase your ability to stay updated with the industry.

Looking to leverage your commerce background? Dive into the wide range of career options for commerce students and unlock the door to numerous opportunities that await you in the business world.

Alignment with Learning Objectives

Review your course or program objectives. Your project should align with the key concepts you’ve learned and demonstrate your understanding.

Market Analysis

If applicable, conduct a preliminary market analysis to identify areas of commerce that require more attention or improvement. Addressing these gaps could lead to an impactful project.

Consultation with Faculty/Advisors

Discuss your ideas with your faculty members or project advisors. They can provide valuable insights, suggest modifications, and guide you toward a more refined topic.

Feasibility of Data Collection

If your project involves data collection, consider the ease of gathering data. Complex data collection processes might require more time and resources.

Ethical Considerations

Ensure that your chosen topic doesn’t raise ethical concerns. Commerce projects might involve sensitive data or controversial issues, so it’s important to approach them with ethical integrity.

Cross-Disciplinary Approach

Explore topics that intersect with other disciplines like economics, psychology, or technology. This can add depth and uniqueness to your project.

Scalability

While your project might be limited in scope, consider whether the topic has the potential for broader applications or research beyond your project.

Audience Appeal

Think about your target audience. Will your project be interesting and informative to your peers, instructors, and potentially even professionals in the field?

Personal and Professional Growth

Choose a project topics for commerce that fulfills academic requirements and contributes to personal and professional growth. Acquiring in-depth knowledge about a relevant topic can be valuable in your future career.

Remember that the process of selecting a project topic is iterative. You might need to refine and narrow your ideas as you gather more information and feedback. Take your time, conduct thorough research, and select a topic that aligns with your interests, skills, and academic objectives.

Curious about the most lucrative career paths in commerce? Explore our detailed guide on the highest paid jobs in India in commerce , and aim for a prosperous future in the business world.

So let’s get started with the list of trending project topics for commerce students

Best Commerce Projects & Ideas For College Students & Beginners

In any field, the end consumers are given top priority. Their choices, preferences, and demands are factors that form the basis of marketing strategies and manufacturing operations. It is evident that we are dependent on commerce to ensure this chain of processes runs smoothly.

If you are wondering what kind of commerce projects could bring you closer to your goals, here is a thought-out list of 8 projects that will not just familiarize you with the existing problems in commerce but also provide solutions. Furthermore, they will be a glowing addition to your resume and increase your chances of success in this all-encompassing field of commerce. To increase your resume weightage, doing a business-related course would be beneficial. For example, our business analytics certificate has 100+ hours of learning with case studies and live sessions aids you positive career growth.

Topic 1: Impact of Outsourcing Material Availability Decision-Making

Objective : To determine the criteria used while deciding to outsource material availability along with strategizing the outsourcing process.

Outsourcing is a beneficial practice but at the same time, it poses a variety of challenges. Every industry seeks low labour cost, however, numerous other aspects require attention when outsourcing.

Although outsourcing is done at various levels, if you have a clear set of goals and strategies, more often than not, it will prove to be advantageous. It is important to understand that the performance of a company and its outsourced aspects do not have a connection because it does not impact the material availability directly.

Usually, two challenges are seen: the first one being, the time challenge, where the production process is slowed down due to unavailability of material and the second, more pressing financial challenge. Through this project, you can find solutions to both challenges.

Impacts of outsourcing-

Affects delivery time
Product quality
Employee productivity

Benefits of outsourcing-

Flexible staffing arrangement
Better risk management
Gain customer satisfaction
Increased efficiency
Reduces labour cost
Cost cutting
Improves quality
Helps in relieving workload

Also read, Career options in science after graduation

Topic 2: Monetary Policy – Enhancing Employee Performance Through Monetary Incentives

Objective : To perceive the relationship between monetary incentive and employee performance.

It is observed that bonuses ate fixed according to the employee’s performance, however, hard work being intangible is not considered. Therefore, it can be deduced that monetary incentives are independent of the performance, since the bonus and allowances are fixed according to a specific performance parameter. Moreover, the failure of a company’s promise to release the bonus on time also leads to dissatisfaction and demotivation among its employees.

On the other hand, companies can attain their target by quoting the performance bonus in advance, thereby, stimulating employees to perform more efficiently and proactively. This project will help you comprehend how effective monetary incentives are imperative to employee satisfaction and alleviating the attrition rate in the company.

Why are monetary incentives necessary?

Rewards employees
Profit sharing, partnerships, ESOPS, etc., increases the ownership attitude
Helps in acquiring quality talent
Controls attrition
Increases employee satisfaction
Increases employee engagement
Improves organisation’s performance

Types of monetary incentives-

Commissions
Added allowances payment
Wage incentives
Referral benefits
Profit sharing

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Objective : To evaluate how e-commerce aids the reduction of functional costs by making a comparative analysis.

This project emphasizes the benefits of eCommerce in today’s world. It is clear from the recent pandemic as well that electronic transactions have grown exponentially. An organization that will operate through a physical office will have significant costs to bear as compared to organizations that can function remotely.

These costs include logistics, administration, salesperson salary, the lease on storefront, electricity, telephone, heating/cooling, taxes, displays, repairs and maintenance of the building. On the contrary, for a virtual office, the entailing costs include web hosting charges, shopping cart software, and distribution rates.

This accounts for much less than the expense involved with physical offices. Both functional and operational costs are affected by eCommerce. Furthermore, e-commerce also has many other unmatched benefits when compared with offline commerce methods.

Benefits of reduced cost in e-commerce:

Self-regulating
Increased revenue
Utilisation of revenue into product development
Creates a competitive advantage

Ways to reduce cost in e-commerce:

Supplier tie-ups
Reduce returns
Marketing budget
Inventory management
Shipping methods optimization

Objective : To establish a co-operative movement in a working society and analyze its benefits on society members. It also evaluates various aspects of the co-operative movement that provide support to team members.

This project helps us gain an understanding of the benefits of a co-operative movement in reducing unemployment. The analysis concludes that co-operative movements support employees and their well-being in terms of education and growth, thus, every organization must adopt one.

It is recommended that since a co-operative movement encourages and supports existing employees to study further and take up training to scale their skill sets, it must be made compulsory for every establishment. To facilitate the set up of the cooperatives, the project recommends aiding organisations financially in the form of loans from the co-operative banks. Consequently, establishing co-operative banks is also deemed significantly beneficial.

Also Read: Top 10 Highest Paying Jobs in Commerce Field

Objective : To shine a light on the futility of establishing a co-operative and credit society.

This kind of society is set up in organizations to help employees save a certain percentage of their salaries. These savings will support them after their retirement and can be used as an investment. However, it is noticed that such a society does not form a consensus as the goals are not attained. With a disparity in the financials and personal contexts, this society has not been able to satisfy its members.

This is due to poor inspection, and the irresponsible attitudes of authoritative people that have marred the interests of its members. Another important aspect that this project highlight is that when members take a loan from a credit society, they are often not in a position to return it, indicating a loss of money. The bad debts increase and the vested member’s interest is exploited unfairly.

Types of unemployment-

Demand deficient
Geographical

Benefits of Reducing Unemployment Through a Co-Operative Movement-

Enhanced social, economic and cultural aspects of the society
Provides social services such as education, housing, health, etc.
Increase wealth
Better living conditions
Higher satisfaction
Society progression
Improved economy

Checkout: Career Options for Commerce Students

Objective : To understand the relationship between SMEs and insurance companies. The project also aims to understand how insurance companies contribute to the growth of SMEs. This involves studying factors that are responsible for growth and failure alike. One major aspect that this project covers is the reason that SMEs do not get their businesses insured.

This project highlights what SMEs are and how l insurance companies can prevent them from being shut down. SMEs are small and medium scale enterprises with about 5 to 10 employees in a small SME and a maximum of 50 to 100 employees in a medium-scale enterprise.

SMEs are vital for the growth of the economy as they are independent and can generate effective revenue, contributing to the country’s GDP. It is recommended that these SMEs must get business insurance. However, with the lack of awareness of insurance of businesses, most small to medium enterprises fail to function beyond two years.

The lack of sustenance due to a blend of financial difficulties and departmental challenges is the cause of the shutdown. Therefore, insurance can step this up. If the employees feel secure, they will be motivated to work irrespective of the un-segregated organizational structure of the SMEs. The resolution for running SMEs for the long term is insurance.

Benefits of Insurance Companies in Driving Growth of SMEs-

Financial security to the employees
Higher employee satisfaction
Lower attrition
Financial stability
Improved organisation growth
Increase loyalty
Help in acquiring qualified candidates

Topic 8: Implications of Globalization on National Security

Objective : To examine the frequency of transnational threats and the method by which the security is breached. Furthermore, it highlights the effects of globalisation on increased national security.

A deep analysis of this project highlights two aspects of globalization. Firstly, where there is an increased threat due to breach of security, a significant increase in business is noticed. The to and fro of trade and ease of communication, facilitated by transportation are anticipated as threats to National Security.

At the same time, this has also elevated the business to a large extent. It causes businesses to amp their security measures and streamline their services. When the pros and cons are weighed, globalization has proved to be beneficial for most sectors.

It has also brought an upsurge in the National Income of many underdeveloped countries. Secondly, globalization has also brought about a lot of awareness, stimulating consumers to buy needful products. The positive impacts on the national income of a country have significantly increased.

Impacts of globalisation on national security-

Integration of markets
Trade measures
Access to new cultures
Potential of new threats
Access to new talent
Manage employee integration

Objective: To understand the various benefits of commerce.

The project highlights the following aspects:

Helps accomplish human wants : Commerce has facilitated trade between states, and across the borders. In turn, human wants are fulfilled because of this movement of goods. This also contributes to social welfare. The distribution of products through e-commerce has further enabled many small businesses to survive.
Enhances the standard of living : The increased flow of money has also increased consumerism. It encourages and financially supports people to make required purchases, subsequently, increasing the standard of living. Also, the pliability of a product’s delivery to diverse locations m, as well as flexibility of ordering from any location has facilitated streamlined services, further, enhancing consumerism and elevating the standard of living.
Empowering consumers and producers: If manufacturing continues to produce, but ceases to sell, the economy of a country is bound to plummet. It is due to commerce that trade persists. The chain of retailers, and wholesalers who purchase the products from manufacturers and market them appropriately, facilitates the movement of goods. The absence of these channels will stagnate the market. In addition to this, digital platforms have made e-commerce the most convenient link between consumers and producers.
Providing employment opportunities: Commerce is the harbinger of growth in manufacturing, warehousing, transporting, banking, advertising and so on. To ensure the efficiency of these operations, we need human resources. Commerce proffers employment to skilled and unskilled labour, along with numerous white-collar professionals.
Enabling income generation for a country on the whole : When trade increases, production and consumption follows. This creates work opportunities for the citizens of a country. This in turn impacts the national Income of a country. The average gross income of citizens contributes to the development of a country.
Driving growth in auxiliary sectors : Commerce leads to increased growth in auxiliary sectors such as banking, insurance, publicity, marketing, and advertising, among others.
Driving industrial development: One of the major outcomes of the commerce sector is the development of industries. Commerce aids in streamlining the division of labour, as well as providing raw materials to the industries. A meticulous division of every sector in the industry leads to its growth and development.
Driving international trade : The emergence of e-commerce has allowed businesses to think beyond the periphery of their country. This has facilitated streamlined trade between countries. Besides, commerce has opened doors for the exchange of commodities, and surplus produces of the country. Better transport and communication systems have resulted in increased international trade, which again is a result of commerce.
Benefitting underdeveloped countries : Commerce has created avenues for underdeveloped countries to export surplus raw material to other countries. This process has enhanced trade and the flow of money into underdeveloped countries.
Supporting exigencies : Whatever trade and exchange of food, medicines, relief packets, etc, is done, is highly dependent on the smooth functioning of the supply chain and commerce industry. During exigencies like earthquakes, floods, and other natural calamities, commerce proves its worth.

Impacts of commerce-

Impact productivity
Affect inflation
Reach market potential
Increases R&D of the country
Better talent management
Gives competitive advantage
Cost management
Impact culture and lifestyle

Objective : To explore the benefits of e-commerce, upcoming trends, and provide solutions to existing challenges.

Needless to mention, the significance of the internet and its usage in today’s world is skyrocketing. The increasing usage of mobile devices has enabled customers to purchase anything from anywhere. Evidently, the future of commerce is headed online. As e-commerce is replacing other traditional commerce models to provide seamless services and consumer experience, there has been a significant reduction in operational costs. If customers are willing to bear the shipping and other costs, even cross-border shopping is possible through e-commerce.

This platform allows users to conduct a comparative analysis and purchase an item at the best available price. This doesn’t just inculcate awareness and transparency but also inculcates a sense of achievement among the consumers when they save a penny. The clarity in communication between portals and customers further streamlines the process.

Apart from the listed benefits, it also involves some threats. These threats usually involve a breach of customer trust and a volatile economy. The failure of e-commerce business is rare, but not absent. It also reflects on the reliability of a platform when cross-border trading is undertaken. Prioritizing customer satisfaction is the key to the success of an eCommerce business.

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Upcoming trends in eCommerce will pave the path for successful business ventures and economic development. As more and ML more businesses adopt AI-driven technologies, augmented reality, and speech recognition techniques in enhancing customer experience, there will be a shift towards personalised solutions which is mostly possible thrift eCommerce. Ecommerce has an integral role to play in helping businesses enhance reach and scalability.

Benefits of E-Commerce

Affects buying behaviour
Enhance shopping experience
Access to a wider range of products
Benefits seller and customers
More employment opportunities
Cost reduction
Easy exchange and refund policy
Impacts economy

The public sector banks are a pivotal part of the economy. They help in mobilising the scattered and small savings of the people. Thus adding to the economic growth. They also play a role of credit intermediation, settlement of payments and netting.

Benefits of Public Sector Banks-

Pension after retirement
High-interest rate on deposits
Low- interest rates on loans
Job security
Accessibility to the rural areas
Multiple branches

The GDP shrank a lot during the Covid. The economy reached to its lowest. Every sector saw the impacts of Covid. The economy growth slowed down and its impacts are seen even today.

Some of the impacts are

Multiple layoffs
Losing of livelihood
Low revenue
Infrastructure damage
Resource reduction
Slow growth
Food shortage
Lack of basic amenities
Affordability

The students can take the approach of finding the causes behind the negative impacts of Covid on Indian Economy.

Checkout: Top Career Options After B.Com

What is the project topic for Bcom final year?

Some of the projects bcom final year students can do:

Financial Performance Analysis of a Company
Impact of Digital Marketing on Consumer Behavior
Study of Corporate Governance Practices
Analysis of Mutual Funds and Stock Market Trends
Consumer Perception of E-Banking Services

Additional Commerce Project Topics

How does advertising affect sales and conversions?
The effectiveness of online shopping.
The role of supply chain management in improving customer service.
AI implementation in e-commerce.
Green consumerism in the coming years.
The role of technologies in enhancing eCommerce.

SWOT Analysis of an MNC

SWOT is a innovative activities for commerce students which will serves as a powerful strategic tool for carefully examining and strategizing projects. Its implementation allows graduates to uncover fresh business prospects, boost revenue generation, and proactively address potential threats to an organization’s success.

By conducting a SWOT analysis, commerce project topics risks can be minimized, ensuring effortless execution of plans. In today’s digital age, multinational corporations often encounter challenges optimizing their online presence and maintaining top-notch cybersecurity. This makes a SWOT analysis a valuable asset for any research topics for commerce students or bcom project topics aiming to tackle these issues.

A Study of Joint Ventures

Two or more companies working together to share profits and losses, collaborate on business operations, and combine their resources for greater success culminate into a joint venture. As students, you can delve into this fascinating concept by focusing your commerce project topics report on prominent joint ventures such as Hero Honda, Sony Ericsson, and Motorola.

Your objective will be to compile a comprehensive report that is packed with data, including performance metrics, thorough analysis, market insights, and real-life case studies. By doing so, you will create a vivid representation of your research on joint ventures.

Job Opportunities from the Transportation Sector

This is one of the project topics for commerce students that delves into the pivotal role of the transportation sector in creating employment opportunities within the country. The commerce related topics explores the various modes of transit, including buses, cars, trains, metros, cable lines, and more. This project topics for commerce main focus is to gain insight into the functioning of different modes of transportation.

This e commerce project topics will also explore the employment benefits associated with the transportation industry, the challenges it faces, and the crucial essentials for transportation design and movement.

Additionally, the commerce related topics also sheds light on shipping methods such as canal, land, ocean, and overseas transport. It is clear that transportation infrastructure is not limited to merely connecting people and places. Instead, the industry serves as a catalyst for economic growth by generating employment opportunities.

The Power of Branding on Consumer Purchasing Behavior

Effective marketing strategies require a strong focus on branding due to its role in influencing consumer behavior. In fact, exploring the impact of branding on consumer behavior and their journey toward brand loyalty makes for a fascinating final-year project in commerce. This research topics for commerce students allows students to delve into how repeat purchases are influenced by branding tactics. However, the world of branding also presents the challenges of budget constraints and the need to stand out from the sea of competitors.

A Project on the Indian Railways Undertaking

With over 1.4 billion employees, the Indian Railways is a major public sector organization, and the department can offer several project topics for commerce students . Under the oversight of the Ministry of Railways and the Railway Board, the Railway Minister holds responsibility for all operations and interactions with the Indian Parliament. As a departmental undertaking of the Indian Government, the railways are subject to an annual budget set by the Government of India.

All expenses are closely monitored by the Ministry and subject to external audits. Conducting a project on this vast public transportation mode offers insights into the crucial role of government involvement in effectively running the railway ser vice in a country as vast as India.

A Project on Mumbai Dabbawalas

The bustling city of Mumbai has a longstanding love affair with Dabbawalas. These skilled professionals are the city’s go-to for homemade office lunches. Through this project, students will have the opportunity to gain a deeper understanding of how these Dabbawalas operate.

By participating in this project topics for commerce, students can develop essential skills such as team management, delivery efficiency, and business organization. They can also explore real-life case studies to enhance their learning experience.

Preparing a Report on Nationalized Banks

While looking for project topics for commerce students or project report topics preparing a report on a nationalized bank can be a great idea. The effectiveness and robustness of banking institutions have an influence on driving and shaping the economy. In the wake of India’s independence, the country established financial systems to promote the accessibility of banking services to the general public.

From standardizing currency practices to implementing global regulations on interest rates, the growth of India’s economy is closely intertwined with the operations of the Reserve Bank of India. This presents a fascinating avenue to explore for a simple project topics for b.com students , delving into the fundamentals of the Indian economy and providing comprehensive case studies and real-life examples to understand the intricacies of financial management and public/private sector banking.

Exploring Indian Exports

India thrives on the export of petroleum products, gems and jewelry, electronics, pharmaceutical drugs, and textiles. Through this project report topics, students can delve into the realm of export marketing and differentiate it from domestic sales. This comprehensive overview also sheds light on the driving forces behind Indian exporters and the multitude of hurdles they encounter, such as trade barriers, third-party competition, and foreign currency regulations.

Studying Different Distribution Channels

In the dynamic realm of sales and marketing, businesses can utilize the wholesale, retail, and direct-to-consumer distribution channels. Companies can reach consumers directly by leveraging cutting-edge e-commerce platforms, while retailers acquire products from manufacturers and then, in turn, sell them to customers. Additionally, retailers often partner with wholesalers who provide goods at competitive market rates.

This project topics for m.com students aims to examine the intricate connections between wholesalers, manufacturers, and retailers, exploring their distinct attributes and crucial functions. In today’s digital era, traditional business strategies have undergone a significant shift in terms of product promotion and profit generation.

Nonetheless, the fundamental principles of effective marketing remain unchanged. These include product excellence, pricing, advertising, distribution, packaging, target demographics, and personnel.

A Project on the Consumer Protection Act

Among various project topics for commerce students , working on the Consumer Protection Act can be quite interesting. The prime focus of this act in India is the welfare of consumers when making purchases of goods, products, and services.

With the rapid advancements in technology, the shopping landscape has significantly evolved in the nation. As a result, consumers now have higher expectations for top-notch products, immediate availability, and effective service.

By thoroughly evaluating this act, we can gain valuable insights into consumer perceptions and decision-making processes within the marketplace. Furthermore, the b.com 3rd year project topics report must also tackle various obstacles encountered by the logistics industry, inadequacies in product design, and unethical behaviors like hoarding and black marketing.

Additionally, it is important to mention how the government ensures the implementation of appropriate legal measures for the sales of goods and services. As a result, consumer protection measures encourage businesses to operate with honesty, efficiency, and transparency.

Project on the Dairy Industry

Let us take the example of Amul to conduct a commerce project on the dairy industry. Widely recognized as a top producer of milk, paneer, and dairy goods in India, Amul’s extensive reach and impact cannot be denied.

Let’s delve deeper into their success story by exploring their partnership with UNICEF and the ways in which they’ve been able to uplift farmers across the nation through their business model. The origins of Amul, its innovative marketing techniques, and its meticulous product sourcing strategies are all prime areas for investigation in understanding how the brand continues to deliver a fresh selection of goods to its devoted customers.

Amul’s remarkable success can be attributed to the strategic use of the seven “Ps” by its marketing professionals. By implementing a low-cost pricing strategy and ensuring its products offer great value for money, Amul has successfully established a widespread supply chain and distribution network throughout the country, maximizing the advantages of its production location. This serves as a great example for students on how to effectively select a sub-topic from a broader subject area.

Studying Different Advertising Media

In the ever-evolving world of business, turning a profit and building a strong reputation are the ultimate goals. In the realm of e-commerce, a multitude of advertising methods are being explored and tested by brands. Through extensive research, scholars have evaluated the success of diverse techniques, including augmented and virtual reality technology. One of the most interesting project topics for commerce students is discovering and analyzing various forms of advertising media.

Just as world commerce combines and impacts different aspects of life, so should your commerce topics for presentation . Whether you use this list of project ideas or other project topics for commerce students pdf to decide your publication subject or your 6th sem project topics , engage with the significance of commerce. As a commerce student, you can provide an analysis of the smallest denominator to significant world events that are not accessible to the layman.

With a country’s economic and cultural development hinging on commerce, it is one of the most sought-after fields today. As a skilled commerce professional, you can devise focused strategies to drive conversions and sales. You can also develop profitable relationships with manufacturers and enhance the customer experience. This also involves retailers and wholesalers, who directly deal with the consumers.

Therefore, professionals in commerce are required to up-skill themselves to gain a comprehensive understanding of how commerce deals with problems. This is possible through experience gleaned from solving real-life problems which can be sought from working on commerce projects. Commerce involves a lot of moving parts which demands that you possess strong leadership skills, communication skills, problem-solving abilities, strategizing skills, and analytical decision-making abilities.

The listed commerce project topics in this article will help you enhance your job-relevant skills which can serve as catalysts to landing your preferred job. When you select one of these topics, you are exercising the decision making skill, which is an efficacious commerce skill! So, we wish you the best of luck!

If you would like to learn more about commerce, we are here to help you at upGrad .

After completing your bachelor’s, you can pursue higher studies and get more specialized roles. As commerce with maths student, you can get an MBA in Finance to get lucrative positions in the finance sector. On the other hand, you can take a digital marketing course from MICA and become a marketing expert. It would allow you to pursue digital marketing careers.

To learn more about digital marketing courses and get hands-on experience, you can check out at upGrad.

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Frequently Asked Questions (FAQs)

Chartered Accountancy has a higher degree of difficulty than a Master of Business Administration program. There are four levels in the CA course – Common Proficiency Test (CPT), IPCC or IPCE, articleship of 3 years with any CA firm and then the finals. A full-time MBA program is of 2 years duration, segmented into semesters and exams by the institute or university. A CA course is generally lengthier since it takes at least four or five years to complete the entire program. However, MBA is recognized by organizations in India and across the world, whereas CA is recognized in India and a handful of Middle Eastern nations.

The Chartered Accountancy course is very well known for being extremely tough. So many people often wonder what makes it so difficult. Those who have experience say that every step in the CA course is a challenge, right from CA Foundation to the finals. The most challenging aspect of CA is its massive syllabus, and aspirants have to acquire in-depth knowledge of each subject. Also, the duration is short compared to the vastness of the syllabus. The course is designed to be for 4 to 5 years. But owing to the nature of this course, it does not matter how long it takes to complete the entire course.

Many commerce students aspire to study a course related to information technology for their graduation. Yes, those who have studied commerce in their senior secondary level at school can go for a BSc in IT. This degree is entirely different from an engineering degree and is of a duration of 3 years. Though BSc in IT is a science stream and most universities mandate science students as eligible, some colleges are allowing commerce students to enrol too due to the extreme demand. It is essential to check the eligibility criteria for commerce students before applying.

Many commerce students aspire to study a course related to information technology for their graduation. Yes, those who have studied commerce in their senior secondary level at school can go for a BSc in IT. This degree is entirely different from an engineering degree and is of a duration of 3 years. Though BSc in IT is a science stream and most universities mandate science students as eligible, some colleges are allowing commerce students to enroll too due to the extreme demand. It is essential to check the eligibility criteria for commerce students before applying.

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E-commerce Dissertation Topics and Titles
E-commerce Dissertation Topics for 2020. Topic 1: Analysing the impact of e-commerce strategies on building better relationships with customers: A case study of the UK fashion industry. Topic 2: Assessing the impact of unique website attributes on consumer buying pattern: A case study of Amazon and eBay.
Top 8 e-Commerce Research Topic Ideas
Such e-commerce thesis topics aim to develop and assess an innovative e-commerce platform that incorporates elements like virtual reality, augmented reality, and immersive experiences into live commerce interactions. The research can also identify the hiccups one might face regarding technical requirements and ethical considerations when ...
57 Best Ecommerce Research Topics Ideas and Examples
Here is the list of dissertation topics on eCommerce. These eCommerce research topics are created by our expert writers. To enhance business Strategy for B2B business in the case of developing countries. To study the increasing rate of online shopping during the COVID-19 pandemic. Research on the growth in the eCommerce business during covid ...
E-commerce Dissertation Topics
Some e-commerce dissertation topics that you may wish to consider finding out more about in this area are: The Data Protection 1998 - Implications for e-commerce. The Freedom of Information Act 2000 - Implications for e-commerce. Data mining - Legal and Ethical Issues. Data mining technology - the next frontier.
PDF AMAZON, E-COMMERCE, AND THE NEW BRAND WORLD
This thesis evaluates the impact of e-commerce on brands by analyzing Amazon, the largest e-commerce company in the world. Amazon's success is dependent on the existence of the brands it carries, yet its business model does not support its longevity. This research covers the history of retail and a description of e-commerce in
Theses on e-commerce topics
As a professor at a University of Applied Sciences, Prof. Geibel regularly supervises theses on e-commerce topics in the Business Administration, Media Management, Logistics and Entrepreneurship degree programs. If you would like some non-binding advice on the topics suggested here, on how to find a topic and on how to write a thesis, just use the comment function at the end of this article or ...
Project Management for E-Commerce Businesses
managing an e-commerce business. In order to clear all such hurdles, a project manager has to. keep a cool mind and prioritize the items based on their necessity and severity. As we move. ahead, we would discuss the different ways any e-commerce business should be handled and. the deliveries planned.
E-Commerce Dissertation Topics
Best E-Commerce Thesis Topics. Topic 11: Integration of E-Commerce in International Hospitality Business as a Freedom from State Boarders, Taxes and Other Barriers. Topic 12: Integrating Total Quality Management (TQM) Approach in E-Commerce Systems to Mitigate Quality Issues. Topic 13: The Impact of Social Networks Marketing and Consumer ...
80 E-Commerce Research Topics
A List Of Potential Research Topics In E-Commerce: E-commerce and food delivery services: market dynamics and prospects. Digital divide and inclusivity in UK e-commerce: bridging socioeconomic gaps in online access. E-commerce and personal data monetization: ethical and legal implications. E-commerce accessibility and inclusivity for persons ...
PDF THE DESIGN AND DEVELOPMENT OF AN E-COMMERCE WEB APPLICATION
This thesis consists of eight chapters. The first one contains the background of the project, thesis goal and structure. The second chapter describes the technology used to develop the website. The general web functionality for different users, database, front-end and back-end side of the project is explained in chapter three.
PDF Master Thesis
This thesis brings together the topics of e-commerce strategy, high-tech entrepreneurial firms, B2B strategy, internationalization, and online marketing. The focus of the thesis is on a stage process of e-commerce implementation. The tendency to sell online is visible in different sectors of the economy, in both B2C and B2B environments, and in ...
Artificial intelligence in E-Commerce: a bibliometric study and
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guidelines on how information systems (IS) research could contribute to this research stream. To this end, the innovative approach of combining bibliometric analysis with an extensive literature review was used. Bibliometric data from 4335 documents were analysed, and 229 articles published in leading IS ...
(PDF) A Review Paper on E-Commerce
Abstract. E-commerce is a boom in the modern business. E-commerce means electronic commerce. E-. commerce (Electronic commerce) involves buying and selling of g oods and services, or the ...
PDF OPPORTUNITIES AND CHALLENGES OF E-COMMERCE TO CUSTOMERS
The thesis focused on understanding and gaining professional knowledge on the benefits and chal-lenges of e-commerce to the customers of Finland and Nepal. The research was concentrated on the ... E-commerce has brought benefits for the customers, which was lack with the traditional way of shopping goods and services.
Top eCommerce Research Topics and Thesis Ideas for 2023
eCommerce is the buying and selling of goods online. But there are many aspects to it. Many students don't realize that choosing an industry-relevant eCommerce dissertation topic has perks in a professional career. Dissertation topics are mentioned on the resume to prove that you have conducted relevant scholarly research before applying for ...
PDF Artificial Intelligence in E-commerce
The thesis aims to widen our understanding of artificial intelligence and explore how it has revolutionized the e-commerce landscape in improving customer experience problems. Ultimately, the study endeavours to establish that AI represents a signifi-cant opportunity for the future of our world.
Improving e-Commerce sales using machine learning
The thesis aims to understand and illustrate the applications of Machine Learning to digital sales and marketing ecosystem for the e- Commerce industry. It first understands the e-Commerce touchpoints using which customers interact with the brands and delves deeper into the underlying technologies powering these touchpoints.
An Overview of Electronic Commerce (e-Commerce)
E-Commerce entails a company accessing the internet as well as IT, such as the. electronic data interchange (EDI). E-commerce concerns an internet vendor's website, trading goods or services. to ...
E-commerce Dissertations
Dissertations on E-commerce. E-commerce is process of buying and selling goods or services online. Some businesses only operate through E-commerce, whilst others have both E-commerce and physical stores to sell their products or services. View All Dissertation Examples.
PDF The Design and Implementation of An E-commerce Site for Online Book
The first step in designing a database is to develop an Entity-Relation Diagram (ERD). The ERD serves as a blue print from which a relational database maybe deduced. Figure 1 shows the ERD for the project and later we will show the transformation from ERD to the Relational model.
PDF The growth of e-commerce and its impact on the fast
2.5.2. E-commerce business in the digital transformation era. The fast fashion industry, in the range of global affordable retailers, drives a significant part of the global economy. Fashion is one of the most challenging areas which easily impacted by the changing of the global economy as well as the distinct trends.
[100+] COMMERCE Research Topics For College Students With Free [Thesis
Research Topic For COMMERCE 2023. Sr. No. Research Topic. Check Thesis. 1. A Study of Consumer Behavior towards Selected Electronic Goods with Reference to North Gujarat. Click Here. 2. Powerloom industry in West Bengal A study of growth and present status.
Top 12 Commerce Project Topics & Ideas in 2024 [For Freshers]
Best 10 Commerce Project Ideas & Topics. Topic 1: Impact of Outsourcing Material Availability Decision-Making. Topic 2: Enhancing Employee Performance Through Monetary Incentives. Topic 3: Outsourcing Human Resource in Beverage and Food Firms. Topic 4: Role of E-Commerce in Reducing Operational Cost.