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10 Trending Business Management Research Topics in 2024

Home Blog Business Management 10 Trending Business Management Research Topics in 2024

Business management has become essential for staying competitive and profitable in today's fast-paced world. It encompasses understanding all aspects of business, from its structure to finance, marketing, and strategy. Pursuing a postgraduate course in business management, such as PGDM, requires writing a well-researched paper to kickstart one's career. 

However, the biggest challenge lies in selecting a relevant and trending research topic. To help with this, we have compiled a list of ten business management research paper topics that are currently trending in 2024, covering advancements in technology and innovative leadership strategies. Enrolling in Business Management training courses can further enhance your skills and knowledge, enabling you to take your career to new heights. So, let's delve into these cutting-edge topics together and gain insights for career growth.

What are some Good Business Management Research Topics?

Every aspect of business, like strategy, finance, operations, and management, is essential. So, it’s hard to say that a particular area of research is more significant. Choosing the best research topic in business management within your area of interest or specialization is one way to decide what your business management research project will be about. It is also a learning process and an opportunity to showcase your in-depth knowledge. 

But if you want to explore other options, write about trending issues and events in the business world, and learn something new, here’s a list of 10 research proposal topics in business management that can help you create an engaging and practical project. You can also take a CCBA training certification to learn more in-depth about business management. 

Conflict Management in a Work Team

With businesses going global, team management has escalated from merely managing people to guiding, mentoring and resolving conflicts among individuals. Teams with multicultural members from different departments are fertile ground for conflicts. If you are looking for international business management research topics, conflict management in work teams is an excellent option. 

This research will give you an insight into the various causes of conflict and different techniques and methods of conflict resolution within global multi-lingual and multi-cultural teams enabling you to lead teams successfully and keep disruptions minimal. Better teams translate to better productivity and, eventually, revenue. On the personal front, it means career growth, leadership roles, and higher pay scales for you.

The Role of Women in Business Management

In contemporary society, women have made notable strides in shattering patriarchal norms and embracing diverse opportunities and career paths, thereby demonstrating their strength and autonomy. While women encounter challenges in assuming leadership roles, often stemming from prevailing cultural attitudes, their presence in business management positions is more prevalent than commonly perceived. This prompts inquiry into the factors that contribute to the exceptional success of certain women in managerial positions and the unique value they bring to such roles. Exploring this subject through qualitative research could yield insightful findings regarding women's impact on business management.

Issues that Affect the Management of Business Startups

The COVID-19 pandemic drove everyone online and created a new digital startup ecosystem. However, while it may be easy to set up a digital business, sustenance, scaling, and growth are some of the challenges that follow. If you are entrepreneurial, your research title about business management should read something like “Challenges in the startup ecosystem.” Such research covers issues that affect the management of business startups. It covers the various factors that lead to success and the pitfalls and obstacles on the growth trajectory. It covers effective strategies to mitigate or work around challenges, and this is where you can get creative. Limiting your research to startups is okay, but you can also cover significant ground across other business models.

Consequences of Excessive Work in Business

Work-life balance is the buzzword in today’s business environment. If you choose to write your thesis on the impact of excessive work in business, it could well escalate to international levels as everyone talks about employee well-being, from corporates to SMEs and top management to HR. 

The single most significant reason behind this is the instances of early burnout seen in the past. Secondly, globalization is another cause for concern since people are often required to work multiple shifts. Lastly, the recent trend of post-Covid layoffs that have driven the need for side hustle makes it even more necessary to keep track of how hectic business operations are. 

Why You Should Start a New Business After One Fails

Failure is the steppingstone to success. Or so the saying goes. The recent outcrop of start-ups has proven this to be true. If one venture fails, do not give up. Learn from the experience and start again. Not only is that the mantra of the current generation, but it is also among the trending quantitative research topics in business management. 

The main objective and outcome of this business management research topic are to explore lessons learned from failures, the advantages of starting afresh, and the strategies for overcoming the fear of failure.

Importance of Inter-organizational Leadership and Networks

This research focuses on managing global networks in leadership roles. It is among the hot favorite research topics for business management students considering how businesses are going global. If you are an aspiring global entrepreneur or leader, you would want to know more about local and global inter-organizational networks, how things work, how people communicate, etc. Researching inter-organizational leadership and networks can provide insights into businesses' challenges and opportunities when building and maintaining relationships. Managing these relationships is another challenging part of the process, and that is what you will learn through this research. 

How to Manage Organizational Crisis in Business

Not only is crisis management a critical leadership skill, but today's turbulent business environment is fertile ground for an organizational crisis. Globalization, digitization, and the startup ecosystem have disrupted the environment. Barring corporates, a crisis can strike any business at any time and bailing out of that crisis is the responsibility of the business leadership. Managing an organizational crisis in business is a popular business management research paper topic, especially among MBA students, PGDM, and aspiring entrepreneurs.

Product and Service Development in a Strategic Alliance

When it comes to research paper topics related to business management, one area worth exploring is product bundling in a strategic alliance. The ICICI credit card offered to online customers of Amazon India is a classic example.

Development of such strategic products or services requires in-depth product knowledge, knowledge of finance, and of course, a strategic mindset. If you have a strategic mindset and interest in product management, this is one of your best business management research project topics.

Innovation and Network Markets as a Business Strategy

Innovation and Network marketing is an emerging and strategic business model for startups. When entrepreneurs need more resources to raise seed or venture capital for their businesses, they elect to market their products through networking. Social Media platforms like Facebook offer substantial networking opportunities. Choose this probe as your quantitative research topic for business management if you have entrepreneurial aspirations to understand every aspect of this business model and strategy in depth.

Social Enterprise and Entrepreneurship

Social enterprise is any business having a social objective and undertaking activities in the public interest. Writing a research paper on social enterprises and entrepreneurship will lead you to explore opportunities that can bring an innovative change in society and hold business potential. One thing to remember if you want to explore social enterprise and entrepreneurship as one of several business management research titles is that the organizational goal is primarily social impact rather than revenue generation. This research will make you more open to an inclusive idea of growth by bringing you closer to social causes, marginalized communities, and people thriving in them.

Business Research: Types and Methodologies

Business research, like any other research, involves the collection of data and information about your chosen topic, analysis of the information and data gathered, and exploring new possibilities in the field. 

Broadly speaking, research may be of two types – Quantitative or Qualitative. Quantitative research, also called empirical research, involves the collection of data from sample groups to answer a question. Qualitative research has more to do with the impact of certain phenomena. Such research is usually an extension of previously researched topics. 

The table below highlights the difference between quantitative research topics in business management and qualitative research about business management. 

How to Find Business Research Topics?

This is just our list of hot and trending business research topics. To help you discover more research project topics on business management, here are some quick-follow tips:

Identify Your Interests

Start by making a list of the various aspects of business management that interest you. Rate them on a scale of 1-10, with one being the least liked and 10 being your most favorite. You can also narrow down your topic to a specific niche while seeking sample research topics in business management.

Read Academic Journals

You might want to conduct preliminary research on a few of the topics you shortlisted to see if something interesting jumps out at you. One way to do this is by reading academic journals related to your selected area of business management. Findings by earlier researchers may trigger innovative thought.

Attend Events

Attending business events like seminars, conferences, and webinars on topics of interest can help you narrow down your list of research topics related to business management. It is also an excellent way to gather knowledge about your area of interest as well as to grow your network.

Consult your supervisor or Mentor

Your thesis supervisor is a valuable resource when searching for the best research topics in business management. They can guide you about relevant research areas and help you identify potential research questions apart from guiding you on research presentation.

Use Online Resources

Many research journals online allow students access to research papers either free of cost or in exchange for a small fee. Explore this resource and sign up for a few that are relevant to your area of interest.

The world of business management is constantly evolving and finding the right business management research topic might seem like a Herculean task. But, with a little thought, planning, and some research, it is not that hard. So, the 10 topics we've explored in this blog represent some of the most significant areas of development in the field of business management today, from the rise of women as business leaders and to the importance of innovation and network markets. As we move into 2024 and beyond, it's clear that these topics will only continue to grow in importance, shaping the way we do business and interact with the world around us. By staying informed and engaged with the latest research and trends, you can position yourself as a thought leader and innovator in the world of business management. 

Also, our pointers on how to discover a business management research topic will help you identify a list of research topics in business management for your thesis. You can then narrow it down to your area of talent or interest. If you still want to know more, you can enroll in our  KnowledgeHut Business Management training , where you’ll learn more about the different aspects of business. 

Frequently Asked Questions (FAQs)

Business management is wide in scope, and there is a spectrum of research topics to choose from. The most prominent areas of business include finance, operations, procurement, marketing, and HR. Within each of these, you’ll find several macro and micro niches to explore.

An example of a business research study could be investigating the impact of social media marketing on consumer buying behavior or examining the effectiveness of a new leadership development program in a company.

The 4 types of business research include:

• Exploratory
• Descriptive

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Mansoor Mohammed is a dynamic and energetic Enterprise Agile Coach, P3M & PMO Consultant, Trainer, Mentor, and Practitioner with over 20 years of experience in Strategy Execution and Business Agility. With a background in Avionics, Financial Services, Banking, Telecommunications, Retail, and Digital, Mansoor has led global infrastructure and software development teams, launched innovative products, and enabled Organizational Change Management. As a results-driven leader, he excels in collaborating, adapting, and driving partnerships with stakeholders at all levels. With expertise in Change Management, Transformation, Lean, Agile, and Organizational Design, Mansoor is passionate about aligning strategic goals and delivering creative solutions for successful business outcomes. Connect with him to explore change, Agile Governance, implementation delivery, and the future of work.

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211 Business Topics For Research Paper [Updated]

Are you looking for intriguing business topics to explore in your research paper? Whether you’re a student delving into the world of business studies or a seasoned professional seeking fresh insights, selecting the right topic is crucial. In this blog, we’ll walk you through a diverse array of business topics for research paper. From management strategies to emerging trends like sustainability and digital transformation, there’s something for everyone. Let’s dive in!

What Are The Characteristics of Business Research Topics?

Table of Contents

Business research topics possess several key characteristics that distinguish them from other types of research topics. These characteristics include:

• Relevance: Business research topics should address current issues, trends, and challenges facing the business world. They should be of interest to academics, practitioners, and policymakers alike.
• Practicality: Business research topics should have real-world applicability and relevance to industry practices. They should offer insights that can be implemented to improve organizational performance, decision-making, and strategy.
• Interdisciplinary Nature: Business research often draws from multiple disciplines such as economics, management, marketing, finance, and psychology. Topics should be interdisciplinary in nature, incorporating insights from various fields to provide comprehensive analysis.
• Data-Driven: Business research relies heavily on empirical evidence and data analysis. Topics should lend themselves to quantitative, qualitative, or mixed-method research approaches, depending on the research question and objectives.
• Innovation and Creativity: Business research topics should encourage innovative thinking and creative problem-solving. They should explore emerging trends, disruptive technologies, and novel approaches to address business challenges.
• Ethical Considerations: Ethical considerations are paramount in business research. Topics should adhere to ethical principles and guidelines, ensuring the protection of participants’ rights and the integrity of research findings.
• Global Perspective: Business research topics should consider the global context and implications of business decisions and practices. They should explore cross-cultural differences, international markets, and global trends shaping the business landscape.
• Impact: Business research topics should have the potential to generate meaningful insights and contribute to the advancement of knowledge in the field. They should address pressing issues and offer practical solutions that can drive positive change in organizations and society.

By embodying these characteristics, business research topics can effectively address the complexities and challenges of the modern business environment, providing valuable insights for academic scholarship and practical application.

211 Business Topics For Research Paper

• The Impact of Leadership Styles on Employee Motivation
• Strategies for Managing Multicultural Teams Effectively
• The Role of Emotional Intelligence in Leadership Success
• Marketing Strategies for Small Businesses on a Limited Budget
• The Influence of Social Media Marketing on Consumer Behavior
• Brand Loyalty: Factors Influencing Consumer Purchase Decisions
• Ethical Considerations in Advertising Practices
• Financial Risk Management in Multinational Corporations
• Corporate Governance and Financial Performance
• The Role of Financial Derivatives in Hedging Market Risks
• Success Factors for Startups in Competitive Markets
• Innovation and Entrepreneurship: Key Drivers of Economic Growth
• Challenges and Opportunities in Scaling a Business Globally
• Ethical Dilemmas in Business Decision-Making
• Corporate Social Responsibility Practices and Brand Image
• Balancing Profit Motives with Social and Environmental Concerns
• The Business Case for Sustainability Initiatives
• Renewable Energy Adoption in Businesses
• Circular Economy Models and Business Sustainability
• The Impact of Digital Technologies on Traditional Business Models
• E-Commerce Trends and Consumer Preferences
• Cybersecurity Challenges in E-Commerce Transactions
• The Benefits of Diversity in the Workplace
• Strategies for Promoting Gender Equality in Leadership Roles
• Addressing Unconscious Bias in Recruitment Processes
• The Impact of Remote Work on Employee Productivity
• Flexible Work Arrangements and Work-Life Balance
• The Role of Corporate Culture in Employee Engagement
• Talent Management Strategies for Attracting and Retaining Top Talent
• Performance Appraisal Systems: Best Practices and Challenges
• Workplace Diversity and Inclusion Initiatives
• Employee Training and Development Programs
• Change Management Strategies for Organizational Transformation
• Crisis Management and Business Continuity Planning
• Supply Chain Resilience: Lessons Learned from Disruptions
• Sustainable Sourcing Practices in Supply Chain Management
• Inventory Management Strategies for Reducing Costs
• Logistics Optimization for Efficient Operations
• The Impact of Globalization on Supply Chain Networks
• Strategic Alliances and Collaborative Partnerships in Business
• Mergers and Acquisitions: Drivers and Challenges
• Corporate Restructuring Strategies for Turnaround Success
• The Role of Corporate Social Responsibility in Building Customer Trust
• Reputation Management in the Digital Age
• Crisis Communication Strategies for Managing Reputational Risks
• Customer Relationship Management: Strategies for Enhancing Customer Loyalty
• Personalization Techniques in Marketing and Customer Service
• Omnichannel Retailing: Integrating Online and Offline Channels
• The Future of Brick-and-Mortar Retail in the Digital Era
• Pricing Strategies for Maximizing Profitability
• Revenue Management Techniques in Hospitality Industry
• Brand Extension Strategies and Brand Equity
• Customer Experience Management: Best Practices and Trends
• The Impact of Artificial Intelligence on Business Operations
• Machine Learning Applications in Marketing and Sales
• Automation and Robotics in Manufacturing Processes
• Blockchain Technology: Opportunities and Challenges for Businesses
• Augmented Reality and Virtual Reality in Marketing
• Data Privacy and Security Concerns in the Digital Age
• The Role of Big Data Analytics in Business Decision-Making
• Predictive Analytics for Sales Forecasting and Demand Planning
• Customer Segmentation Techniques for Targeted Marketing
• The Influence of Cultural Factors on Consumer Behavior
• Cross-Cultural Marketing Strategies for Global Brands
• International Market Entry Strategies: Modes of Entry and Risks
• Exporting vs. Foreign Direct Investment: Pros and Cons
• Market Entry Strategies for Emerging Markets
• The Impact of Political and Economic Factors on International Business
• Foreign Exchange Risk Management Strategies
• Cultural Intelligence and Global Leadership Effectiveness
• The Role of Multinational Corporations in Economic Development
• Corporate Governance Practices in Different Countries
• Comparative Analysis of Business Laws and Regulations
• Intellectual Property Rights Protection in Global Business
• The Influence of Cultural Differences on Negotiation Styles
• Cross-Border Mergers and Acquisitions: Legal and Cultural Challenges
• International Trade Agreements and Their Impact on Businesses
• The Role of Non-Governmental Organizations in Sustainable Development
• Corporate Philanthropy and Social Impact Investing
• Microfinance and Economic Empowerment of Women
• Entrepreneurship Ecosystems and Innovation Hubs
• Government Policies and Support for Small Businesses
• Venture Capital Financing and Startup Growth
• Crowdfunding Platforms: Opportunities for Entrepreneurs
• Social Entrepreneurship: Business Models for Social Change
• Innovation Clusters and Regional Economic Development
• Angel Investors and Their Role in Startup Funding
• Technology Incubators: Nurturing Startup Innovation
• Intellectual Property Rights Protection for Startup Innovations
• Business Model Innovation: Disrupting Traditional Industries
• The Impact of Climate Change on Business Operations
• Green Technologies and Sustainable Business Practices
• Carbon Footprint Reduction Strategies for Businesses
• Environmental Management Systems and Certification
• Corporate Reporting on Environmental Performance
• Circular Economy Business Models: Closing the Loop
• Sustainable Supply Chain Management Practices
• The Role of Renewable Energy in Achieving Carbon Neutrality
• Smart Cities and Sustainable Urban Development
• Green Building Technologies and Sustainable Construction
• The Influence of Cultural Factors on Entrepreneurship
• Gender Differences in Entrepreneurial Intentions and Success
• Social Capital and Networking for Entrepreneurial Ventures
• Family Business Succession Planning and Governance
• Corporate Entrepreneurship: Fostering Innovation Within Organizations
• Franchising: Opportunities and Challenges for Entrepreneurs
• Online Platforms and the Gig Economy
• Digital Nomads: Remote Work and Entrepreneurship
• The Sharing Economy: Business Models and Regulation
• Blockchain Applications in Supply Chain Traceability
• Cryptocurrency Adoption in Business Transactions
• Initial Coin Offerings (ICOs) and Tokenization of Assets
• Decentralized Finance (DeFi) and Its Implications for Traditional Banking
• Smart Contracts and Their Potential in Business Operations
• Privacy-Preserving Technologies in Data Sharing
• Cryptocurrency Exchanges: Regulation and Security Issues
• Central Bank Digital Currencies (CBDCs) and Monetary Policy
• The Impact of Artificial Intelligence on Financial Services
• Robo-Advisors and Algorithmic Trading in Wealth Management
• Fintech Startups and Disruption in Traditional Banking
• Peer-to-Peer Lending Platforms: Opportunities and Risks
• Digital Identity Management Systems and Security
• Regulatory Challenges in Fintech Innovation
• Financial Inclusion and Access to Banking Services
• Green Finance: Sustainable Investment Strategies
• Socially Responsible Investing and ESG Criteria
• Impact Investing: Financing Social and Environmental Projects
• Microfinance Institutions and Poverty Alleviation
• Financial Literacy Programs and Consumer Empowerment
• Behavioral Finance: Understanding Investor Behavior
• Risk Management Strategies for Financial Institutions
• Corporate Fraud Detection and Prevention Measures
• Financial Market Volatility and Risk Hedging Strategies
• The Role of Central Banks in Monetary Policy Implementation
• Financial Stability and Systemic Risk Management
• Corporate Governance Practices in Banking Sector
• Credit Risk Assessment Models and Default Prediction
• Asset Allocation Strategies for Portfolio Diversification
• Real Estate Investment Strategies for Wealth Accumulation
• Commercial Property Valuation Methods
• Real Estate Crowdfunding Platforms: Opportunities for Investors
• Property Management Best Practices for Rental Properties
• Real Estate Development and Urban Planning
• Mortgage Market Trends and Homeownership Rates
• Affordable Housing Initiatives and Government Policies
• The Impact of Interest Rates on Real Estate Investments
• Sustainable Architecture and Green Building Design
• Real Estate Investment Trusts (REITs) and Tax Implications
• The Influence of Demographic Trends on Housing Demand
• Residential Property Flipping Strategies and Risks
• Health and Wellness Tourism: Trends and Opportunities
• Medical Tourism Destinations and Quality of Care
• Wellness Retreats and Spa Resorts: Business Models
• The Impact of Technology on Healthcare Delivery
• Telemedicine and Remote Patient Monitoring
• Healthcare Data Security and Privacy Regulations
• Healthcare Financing Models: Insurance vs. Out-of-Pocket
• Value-Based Healthcare Delivery and Payment Models
• Healthcare Workforce Challenges and Solutions
• Healthcare Infrastructure Development in Emerging Markets
• The Role of Artificial Intelligence in Healthcare Diagnosis
• Precision Medicine: Personalized Treatment Approaches
• Pharmaceutical Industry Trends and Drug Development
• Biotechnology Innovations in Healthcare Solutions
• Mental Health Awareness and Support Services
• Telehealth Adoption and Patient Engagement
• Chronic Disease Management Programs and Prevention
• Health Information Exchange Platforms: Interoperability Challenges
• Patient-Centered Care Models and Outcomes
• The Influence of Healthcare Policies on Access to Care
• Human Resource Management in the Hospitality Industry
• Employee Training and Development in Tourism Sector
• Quality Service Delivery in the Hotel Industry
• Revenue Management Strategies for Hospitality Businesses
• Destination Marketing and Tourism Promotion Campaigns
• Sustainable Tourism Practices and Eco-Friendly Resorts
• Technology Integration in Travel and Tourism Services
• Cultural Heritage Tourism and Conservation Efforts
• Adventure Tourism: Risks and Safety Measures
• The Role of Online Travel Agencies in Tourism Distribution
• Sustainable Transportation Solutions for Tourism
• Food and Beverage Management in Hospitality Operations
• Wellness Tourism: Trends and Market Segmentation
• Airbnb and Short-Term Rental Market Dynamics
• Wellness Retreats and Spas: Market Positioning Strategies
• Community-Based Tourism Development Initiatives
• Luxury Travel Market: Trends and Consumer Preferences
• Aviation Industry Trends and Airline Marketing Strategies
• Sustainable Event Management Practices
• Convention and Exhibition Tourism: Economic Impact
• Destination Management Organizations and Tourism Planning
• Customer Relationship Management in the Tourism Sector
• Online Reputation Management for Hospitality Businesses
• Accessibility and Inclusivity in Tourism Infrastructure
• Cultural Tourism: Heritage Preservation and Promotion
• Agritourism: Farm-to-Table Experiences and Trends
• The Impact of Climate Change on Tourism Destinations
• Wildlife Tourism: Conservation and Responsible Practices
• Wellness Tourism in Developing Countries: Challenges and Opportunities
• The Role of Tour Operators in Sustainable Tourism Development
• Virtual Reality Applications in Tourism Marketing
• The Rise of Medical Tourism: Market Growth and Challenges
• Responsible Travel and Ethical Tourism Practices
• Event Marketing Strategies for Business Success
• Sponsorship and Partnership Opportunities in Event Management
• Technology Integration in Event Planning and Execution
• Event Risk Management and Contingency Planning
• Corporate Event Planning: Trends and Best Practices
• Trade Show Marketing Strategies for Exhibitors
• Sports Event Management : From Planning to Execution
• Sustainable Event Certification Programs and Standards

How To Prepare Research Paper?

Preparing a research paper involves several key steps, from selecting a topic to writing and formatting the final document. Here’s a comprehensive guide on how to prepare a research paper:

• Select a Topic: Choose a topic that interests you and aligns with the requirements of your assignment or research objectives. Consider the scope of the topic, its relevance, and the availability of resources for conducting research.
• Conduct Background Research: Read up on books and studies that talk about the same things you want to research. This will help you see what people already know, find out where there are still things we don’t know, and make your research questions or ideas better.
• Develop a Research Question or Thesis Statement: Formulate a clear and focused research question or thesis statement that guides your study. Your research question should be specific, relevant, and capable of being answered through empirical investigation.
• Create an Outline: Organize your ideas and research findings into a logical structure by creating an outline for your research paper. Outline the introduction, literature review, methodology, results, discussion, and conclusion sections, along with any subheadings or subsections.
• Write the Introduction: Begin your research paper with an interesting introduction. Share some basic info about your topic, explain why your study is important, and clearly state what you’ll be focusing on in your research. The introduction should also outline the structure of the paper.
• Review the Literature: Conduct a comprehensive review of relevant literature to provide context for your study, support your arguments, and identify gaps in existing research. Summarize key findings, theories, and methodologies from previous studies in your literature review.
• Describe the Methodology: Clearly explain the research design, methods, and procedures used to collect and analyze data. Include details on the population/sample, data collection instruments, data analysis techniques, and any ethical considerations.
• Present the Results: Report the findings of your study in a clear and concise manner. Use tables, graphs, or charts to present quantitative data, and provide descriptive analysis for qualitative data. Ensure that your results are relevant to your research question or thesis statement.
• Discuss the Implications: Interpret the results of your study and discuss their implications that are for theory, practice, or policy. Analyze the strengths and limitations of your research, address any unexpected findings, and propose recommendations for future research or action.
• Write the Conclusion: Summarize the key findings and contributions of your study in the conclusion section. Restate your research question or thesis statement, review the main points that you have discussed in the paper, and highlight the significance of your research in advancing knowledge in the field.
• Revise and Edit: Review your research paper for clarity, coherence, and accuracy. Ensure that your arguments are well-supported by evidence, your writing is concise and precise, and your paper follows the appropriate style and formatting guidelines.
• Cite Sources: Acknowledge the contributions of other scholars by properly citing their work in your research paper. Use a consistent citation style (e.g., APA, MLA, Chicago) and include a reference list or bibliography at the end of your paper.
• Proofread: Carefully proofread your research paper to correct any spelling, grammar, or punctuation errors. Pay attention to formatting details such as margins, font size, and line spacing to ensure consistency throughout the document.
• Get Feedback: Seek feedback from peers, instructors, or mentors to improve the quality of your research paper. Consider their suggestions for revision and make appropriate changes to strengthen your arguments and clarify your writing.
• Finalize the Paper: Make any final revisions or edits based on feedback and proofreading, and then finalize your research paper for submission. Double-check all formatting requirements and ensure that your paper is properly formatted and ready for submission.

Final Thoughts

Researching business topics offers a unique opportunity to delve into the complexities of the modern economy and explore innovative solutions to real-world challenges.

Whether you’re passionate about leadership, marketing, finance, entrepreneurship, or corporate social responsibility, there’s a wealth of knowledge waiting to be discovered. So roll up your sleeves, sharpen your analytical skills, and get ready to make your mark in the world of business research! I hope you find the best and most relevant answer to business topics for research paper. 

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The Linkage Between Digital Transformation and Organizational Culture: Novel Machine Learning Literature Review Based on Latent Dirichlet Allocation

• Open access
• Published: 21 May 2024

Cite this article

You have full access to this open access article

• Tobias Reisberger   ORCID: orcid.org/0009-0003-0190-7368 1 ,
• Philip Reisberger   ORCID: orcid.org/0009-0004-4678-4151 1 ,
• Lukáš Copuš   ORCID: orcid.org/0000-0002-9502-830X 1 ,
• Peter Madzík   ORCID: orcid.org/0000-0002-1655-6500 1 &
• Lukáš Falát   ORCID: orcid.org/0000-0002-2597-7059 2  

Organizational culture is a crucial component of innovation in company success, particularly in the setting of the information economy. The purpose of this research is to conduct a bibliometric analysis in order to identify dominant research topics, their potential shifts, and recent developments in the fields of organizational culture and digital transformation. It demonstrates a machine learning–supported method for identifying and segmenting the current state of this research field. The literature was identified from the Scopus database through a search query. The analyzed amount of papers (3065) was published in 1619 sources (journals, proceedings, books, etc.) with various research impacts. Identifying the dominant research topics resulted in eight topics: Social Media Connectivity; Digital Innovation Ecosystems; Socio-economic Sustainability; Digital Workforce Transformation; Digital Competence and Cultural Transformation; Knowledge, Culture, and Innovation; Data and Resource Management; and Digital Transformation Maturity. The results showed a shift in the research field on organizational culture related to digital transformation towards the subject area of business, management, and accounting, with increasing research interest and impact for the Digital Workforce Transformation as well as for the Knowledge, Culture, and Innovation topics.

Avoid common mistakes on your manuscript.

Introduction

In recent years, the world has gone through many events that have changed how we live, relax, work, or communicate. These changes are still resonating in the business environment, for example, in the transition to partial or complete work from home and bring several challenges that organizations have to deal with (Yang et al., 2023 ). One of the crucial areas is the socialization of employees and the formation and maintenance of organizational values expressed by the organizational culture (Noto et al., 2023 ).

Organizational culture has been well-researched since the early 1980s (O’Reilly et al., 1991 ; Schein, 1985 ). The focus originated in American-based qualitative studies and shifted over time towards a more international perspective (Cameron & Quinn, 1999 ; Denison & Mishra, 1995 ; Hofstede, 1998 ), as well as adopting a more quantitative viewpoint with many published papers (O’Reilly et al., 2014 ). Several different areas of organizational culture have already been analyzed, including performance, motivation, leadership, and innovation, among many others (Affes & Affes, 2022 ; Aasi & Rusu, 2017 ; Abu Bakar et al., 2021 ). One of the up-to-date research areas is the topic of digitalization.

The advent of automation and digitalization and the resulting digital transformation in recent history have significantly impacted many markets and organizations and influenced the behaviors and expectations of customers. Digital transformation is driven by several external factors, including the rapid growth and adoption of new technologies that foster e-commerce, big data, a changing competitive landscape, and altered consumption behavior, driven by better-informed, connected, and more empowered customers (Verhoef et al., 2021 ). It provides many challenges and opportunities, including relevant impacts on organizational culture (Alloghani et al., 2022 ). In recent years, the impact of the COVID-19 pandemic has had a significant influence on organizational culture (Daum & Maraist, 2021 ; Spicer, 2020 ).

Even before the pandemic, the fast development of digital technologies, including automation, smart technology, artificial intelligence (AI), and robots, cloud computing, and the Internet of Things (IoT) is radically altering the nature of work and of organizations (Nimawat & Gidwani, 2021 ). The combination of technological advancements was coined as the Fourth Industrial Revolution or Industry 4.0 by Klaus Schwab in late 2015 (Schwab, 2015 ). The speed and scope of current technological changes are prompting concerns about the extent to which new technologies will fundamentally alter organizational cultures, workplaces, or completely replace workers (Acemoglu & Autor, 2011 ; Brynjolfsson & McAfee, 2014 ; Frey & Osborne, 2017 ).

These Industry 4.0 developments and an agile workforce are all components of a global digital transformation that changed the workplace dynamics and led to significant changes in organizations and employee behavior. Due to the unexpected interruption brought on by the coronavirus pandemic, working from anywhere has become the new standard for millions of people worldwide (Özkazanç-Pan & Pullen, 2020 ).

The combination of these two driving forces will have a lasting effect on the formation and effectiveness of organizational culture in the future (Kniffin et al., 2021 ; Trenerry et al., 2021 ). However, the number and range of publications in recent years on organizational culture, digital transformation, Industry 4.0, and COVID-19 make it necessary to provide a structured overview of the published literature.

Firstly, this paper shall give an overview of the research being conducted on organizational culture and digital transformation and identify the main research areas, authors and journals. The methods utilized are outlined, along with the applied bibliometric tools. Secondly, this paper aims to provide an overview of the status quo of research by identifying the different research clusters with its critical analysis.

Literature Review

Research on organizational culture and digital transformation.

Over time, the concept of organizational culture has been the center of attention for many researchers. It has been the main focus of study of several scientific works, especially in management and business (Mohelska & Sokolova, 2018 ; Streimikiene et al., 2021 ; Vallejo, 2011 ).

The concept of organizational culture has been studied from different angles, with researchers exploring the role that organizational culture can play and which factors impact organizational culture (Guzal-Dec, 2016 ; Polyanska et al., 2019 ; Zeng & Luo, 2013 ).

A high number of researchers agree with Schein’s ( 1985 ) model, which asserts that there are three levels at which an organizational culture may be conceptualized: fundamental presumptions and beliefs, norms and values, and cultural artifacts (Chatman & O’Reilly, 2016 ). From the perspective of the organization and its working environment, organizational culture emerges from behavior in which basic assumptions and beliefs are shared and seen as given by organizational members (Schein, 1985 ).

Academics primarily focused on organizational culture’s definition, connotation, structural components and type categorization in the 1980s; most of this research was qualitative (Cui et al., 2018 ). Even though there was no universal agreement on the meanings of organizational culture at the time, Schein’s framework (Schein, 1992 ) was somewhat representational in the academic world. Research on organizational culture then evolved from mainly qualitative research to quantitative studies in the 1990s (Cameron & Quinn, 1999 ; Denison & Mishra, 1995 ; Hofstede, 1998 , 2001 ; O’Reilly et al., 2014 ). According to Cui et al. ( 2018 ), contemporary views of organizational culture are seen as a key factor for success, promoting organizational effectiveness and performance (Gregory et al., 2009 ), organizational innovation (Hogan & Coote, 2014 ), and organizational identity (Ravasi & Schultz, 2006 ). Organizational culture is now considered a key component of innovation in company success, particularly in the setting of the information economy (Büschgens et al., 2013 ). Cartwright identifies nine relevant factors that drive the cultural transformation in organizations that enable successful business practices (Cartwright, 1999 ).

Organizational culture has two basic academic foundations: sociology (organizations have culture) and anthropology (organizations are cultures). The sociological position has become dominant in recent years (Cameron & Quinn, 1999 ). Based on this, there are two opposing viewpoints regarding the possibility of managing organizational culture — the functionalist and symbolist view (Schueber, 2009 ). The functionalist perspective regards culture as an organizational variable (Alvesson, 1993 ), and it can be determined by management (Meek, 1988 ; Silverzweig & Allen, 1976 ). According to the functionalist perspective, culture is seen as something that the organization possesses and can be controlled (Barley et al., 1988 ; Smircich, 1983 ). The symbolist viewpoint regards culture as a representation of what an organization is rather than anything it has . This implies major challenges in controlling or managing organizational culture (Morgan, 1986 ; Smircich, 1983 ). Functionalists would argue that the culture should be changed to fit the strategy, whereas symbolists would propose that the strategy should be adjusted to the organization’s culture (Ogbonna, 1992 ; Senior, 1997 ). In this paper, the functionalist view is supported by implications of the results.

Digitalization is defined as “the transformation of business models as a result of fundamental changes to core internal processes, customer interfaces, products and services, as well as the use of information and communications technologies” (Isensee et al., 2020 ). However, digitalization and digital transformation are quite different. A company may embark on several digitalization initiatives, from automating procedures to retraining staff members to utilize computers. On the other hand, businesses cannot conduct digital transformation as projects. Instead, this more general phrase refers to a client-centered strategic business transformation that calls for adopting digital technology and organizational changes across all departments (Verhoef et al., 2021 ).

An executive’s view that does not distinguish between digitalization and digital transformation could lead to an insufficient strategic focus (Li & Shao, 2023 ). Digital transformation efforts will often involve several digitalization projects, which require management sponsorship and the willingness to change existing structures and practices. Various papers have studied the challenges that may arise from organizational culture when adopting new technologies and structures, e.g., agile practices (Anwar et al., 2016 ; Ghimire et al., 2020 ; Raharjo & Purwandari, 2020 ), technology adoption (Melitski et al., 2010 ), or even Green Supply Chain Management (El Baz & Iddik, 2021 ). As the business becomes primarily customer-driven, digital transformation necessitates improving how well the organization manages change (Anghel, 2019 ).

Industry 4.0 began in the twenty-first century with the development of cyber-physical systems (CPS), the Internet of Things (IoT), the Internet of Services, smart factories, and cloud computing. It continues today (Hermann et al., 2016 ; Kagermann et al., 2013 ; Liao et al., 2017 ; Xu et al., 2018 ). It is characterized as a combination of CPS and IoT in the manufacturing industry, which can have repercussions for value creation, company growth, work organization, and downstream businesses (Kagermann et al., 2013 ; Kiel et al., 2017 ). The advent of Industry 4.0 involves significant changes for organizations and societies and has various effects on nations, businesses, industries, and society (Schwab, 2015 ). Industry 4.0 implementation is a complicated process involving horizontal, vertical and seamless integration and will rely on the synergies between the business and stakeholders from many functional domains (Müller, 2019a , 2019b ; Wang et al., 2016 ). In particular, many organizations fail to capture their Industry 4.0 vision and strategy throughout the change process (Schumacher et al., 2016a ). Other important factors that hinder the application of a successful digital transformation towards a functional Industry 4.0 concept are fear of uncertainty and wrong expectation of requirements (Balasingham, 2016 ). Willingness to adopt this technology is another reason to fail (Adebanjo et al., 2021 ). Organizations aiming to incorporate and adopt digital transformation into their operational procedures must recognize and assess important critical factors (Nimawat & Gidwani, 2021 ).

Organizational communication and collaboration styles have changed due to globalization, advancements in information and communication technologies (ICTs), an increase in hybrid work models and the rise of computer-mediated groups (Sharma et al., 2022 ). With the knowledge economy, digital culture, and recent technological innovations, new working styles have quietly emerged in organizations (Powell et al., 2004 ). Then, the spreading of the coronavirus and the required shift in transition to remote working acted as a catalyst for how organizations operate and employees engage. The drastic changes in the workplace naturally affected employees and spurred changes in their behavior and attitudes (Caligiuri et al., 2020 ). The corresponding research topic of COVID-19-related impacts and the implications on digital transformation in the context of organizational culture is relatively new. Many partial aspects that have gained new relevance during the corona pandemic have already received attention in the research community over the past 20 years.

Therefore, this study aims to conduct a bibliometric analysis in order to identify dominant research topics, their potential shifts, and recent developments in the fields of organizational culture and digital transformation. The most significant research articles or authors and their related relationships can be found using the scientific computer-aided review process known as bibliometric analysis. It can help to forecast the possible direction of such identified fields and is widely applied in academic research (Diem & Wolter, 2013 ). This method aids in providing a thorough overview of the subject as well as visually summarizing its patterns and trends (Baker et al., 2020 ; Zhou et al., 2020 ).

Overview of Bibliometric Reviews

The topic of organizational culture has had a large number of contributors in the past decades. Several articles were published on organizational culture as bibliometric studies (Cicea et al., 2022 ). Only a few reviews were conducted on digital transformation in organizations related to organizational culture (e.g., as digitalization). Table 1 lists a few publications on these topics.

Overview of Systematic Reviews

Apart from bibliometric literature reviews, many authors have conducted systematic literature reviews on various research areas relating to organizational culture and digital transformation. As seen in the following non-conclusive overview in Table  2 and Table  3 , researchers have focused their attention on heterogeneous study fields like performance-orientation, entrepreneurship, Industry 4.0, agile practices, work-from-anywhere, SMEs, and many others. This broad overview indicates that the topic of organizational culture plays a very relevant role in recent research, especially in the context of digital transformation.

The provided overview on digital transformation research mainly focuses on functional areas and its application. The center of research is the implementation, readiness, adoption, as well as barriers, opportunities, and challenges. Additionally, research fields like examining potential directions (Belinski et al., 2020 ; Kamble et al., 2018 ; Pagliosa et al., 2019 ; Piccarozzi et al., 2018 ; Schneider, 2018 ; Sony & Naik, 2020 ); implementation, readiness and adoption (Çınar et al., 2021 ; Pacchini et al., 2019 ; Sung & Kim, 2021 ); barriers, opportunities, and challenges to the adoption and implementation of Industry 4.0 (Bajic et al., 2021 ; Raj et al., 2020 ); and sustainability (de Sousa Jabbour et al., 2018 ; Luthra & Mangla, 2018 ) are analyzed.

The main focus areas, among many others, which are influenced by digital transformation are agile and collaborative teamwork and management (Kerber & Buono, 2004 ; Huang et al., 2003 ; Sheppard, 2020 ; Parry & Battista, 2019 ; Singer-Velush et al. 2020 ; Hamouche, 2020 ), adaptive business culture in dynamic , supportive , environments , with focus on employee well-being , work design , open innovation , workforce effectiveness (Am et al., 2020 ; Ngoc Su et al., 2021 ; Baker et al., 2006 ; Žižek et al., 2021 ; Parry & Battista, 2019 ; Bélanger et al., 2013 ; Carnevale & Hatak, 2020 ), and recent technological developments (Ågerfalk et al., 2020 ; Bloom et al., 2015 ; Bondarouk & Ruël, 2009 ; Johnson et al., 2020 ; Spreitzer et al., 2017 ; Wiggins et al., 2020 ).

Research Gap

The research mentioned in the aforementioned literature review sought to examine several factors of organizational culture and digital transformation. However, reviews of literature based solely on a systematic or bibliometric methodology have significant drawbacks. Studies of systematic literature reviews are frequently in-depth and typically handle only a small number of documents. As a result, the findings are more constrained (Moher et al., 2015 ; Page et al., 2021 ). Contrarily, bibliometric reviews are concentrated on a wider range of the studied areas. They mostly reveal major trends as an outcome (Cobo et al., 2011 ; van Eck & Waltman, 2010 ). Using machine learning to find latent patterns in textual data is one of the most popular study methods in the field of bibliometric review (Han, 2020 ; Mariani & Baggio, 2022 ). Automated processing is used to analyze the scientific publications for our study. It employs an advanced machine learning–based methodology to extract topics from the scientific literature. This paper contributes to the existing literature by answering the following research questions:

Research Question 1 (RQ1) . How has the organizational culture — digital transformation relationship evolved over time?

The number of publications on digital transformation is growing, and organizational culture is a well-established research area with years of academic work. Consequently, a bibliometric analysis of the growth of the top journals, articles, and most cited publications may be able to provide relevant insights.

Research Question 2 (RQ2) . What are the dominant research topics on organizational culture and digital transformation?

The total number of publications on the subject of this study is rapidly increasing. Therefore, we may apply machine learning to extract particular study ideas from a large body of published scientific literature.

Research Methodology

This paper aims to establish the trends of research papers in the field of organizational culture research with a focus on digital transformation. The authors conducted the review of the literature using bibliometric analysis and a machine learning method.

Researchers often undertake bibliometric analysis with the main goal to determine the body of knowledge on a certain subject, to provide an assessment of the research already conducted, and to develop networking structures for the scientific community. Five steps ( study design , data collection , data analysis , data visualization , and interpretation of results ) represent the workflow of science mapping and were used to apply the bibliometric approach and network analysis (Aria & Cuccurullo, 2017 ).

The review usually starts by determining the database that contains the input data. The only source for this paper are the bibliographic records from the Scopus database as data collection input. This source has been considered reliable in prior works. Scopus, developed by Elsevier B.V., is the largest database of scientific peer-review literature hosting more than 27,950 journal published articles (Elsevier, 2023 ). It was chosen for this study as it is the largest and most relevant scientific database in the world, covering most of the publications available. This includes consistent repositories of documents as well as additional information such as country of all the authors, citations per document, and further information that is relevant in terms of quality and quantity for the study.

The search query was developed after identifying the research area. This was done by splitting the topic into three fields of research. The first set was organization with the corresponding synonyms followed by culture (second set). The third was digital transformation and its phases digitization and digitalization following Verhoef et al. ( 2021 ) and its synonyms including Industry 4.0 . The database was queried using additional synonyms and alternative spellings to increase the study’s coverage.

To collect these articles, the combination of the following keywords was selected:

Digital transformation , digitalization , digitalisation , digitization , digitisation combined with Industry 4.0 search terms fourth industrial revolution , 4IR , 4-IR , industry 4.0 and the organizational culture related keyword organisation *, organization *, firm , company , corporate , enterprise , business and culture .

The search criteria were then determined. The authors used the title , abstract and keywords from the articles provided by the Scopus database (TITLE-ABS-KEY). This resulted in 3077 identified papers. The search query and result are shown in Table  4 . The search was conducted on March 30, 2023.

After collecting the data, all documents with no abstracts were removed. The authors also removed all documents with abstracts defined as: “[No abstract available]”. After this removal, the dataset consisted of 3065 documents. The applied dataset was made up of the following eight variables: authors, title, year, source, cited by, abstract, authors keywords, index keywords. A total of 139 documents were tagged as Review . In addition, to answer the research question RQ1, we joined our dataset with a dataset that defined individual subject areas for each journal. Thanks to such an expanded dataset, we were able to better structure the results.

Topic Modelling

In order to be able to answer research question RQ2, we needed to perform an analysis of the sentific field. There are several ways to conduct a literature review. Instead of the standard literature review process, we decided to carry out the literature review based on machine learning. This way of analyzing the scientific field allowed us to assess a much larger number of documents and thus make the literature review more relevant. Our review based on machine learning analyzed 3065 document abstracts in total.

Before the actual process of identifying individual research topics in the selected area, it was necessary to perform text preprocessing and then divide the analyzed documents into individual topics. Data preprocessing included several steps which are common in text analytics. After removing some special characters, we removed punctuation, further removed numbers and stopwords defined in the tm package in R. In addition, we defined other custom stopwords that were removed from the corpus of abstracts. Then we then removed the extra spaces and stemmed the words in the document. The last step was to delete custom stopwords Footnote 1 specific to our area of interest. In this case, these were words that were irrelevant to our field of research and, in our opinion, did not add value to the resulting analysis. We defined these words based on the frequency analysis of stemmed words from the corpus of analyzed abstracts. The mentioned procedures were performed in the R programming language using the tm and SnowballC packages. After removing the specific stopwords, we finally removed the extra spaces. Subsequently, a document-term matrix (dtm) was created, which contained the frequencies of all individual words in every document. Since the dtm itself also contained low-frequency words, we removed words that appeared in less than 0.5% of the abstracts in the resulting matrix. The resulting dtm contained 1108 words.

After preprocessing the text of the abstracts, we proceeded to structure the abstracts into research topics. We implemented the mentioned process, also called topic modeling, using the Latent Dirichlet Allocation method, also known as LDA (Blei et al., 2003 ). LDA is a probabilistic generative process, the result of which is a set of topics that represent the composition of the entire space into individual parts. Based on the words in individual documents, the so-called latent topical structure is created, while latent topics are a mixture of several documents. Based on the posterior estimates of the hidden variables, we can estimate the structure of the latent topics. Hidden variables in our case represent latent topical structure (Blei & Lafferty, 2009 ).

Topic modeling using LDA was implemented in the R programming language using the topicmodels library. Topic modeling itself assumes the number of topics into which the entire space needs to be divided. There are several approaches for finding the number of topics. Since the approach based on the evaluation of statistical criteria resulted in a large number of topics, we decided to prefer an expert approach. This approach consisted in manually assessing the interpretability of the most frequent words in individual alternatives. As part of the testing itself for a suitable number of topics, we gradually manually evaluated solutions with the number of topics k  = {6, 7, 8, 9, 10, 11, 12}.

To quantify the parameters of the LDA model, we used Gibbs sampling (Gelfand, 2000 ; Griffiths & Steyvers, 2004 ; Grün & Hornik, 2011 ). For parameter quantification, we used 2000 iterations, taking into account only every 200th observation for a higher degree of independence between. For each k, we repeated the process five times, always recording only the best solution. Based on the results of the expert analysis, we chose a solution with the number of topics k  = 8. Finally, we realized the visualization of topics, which was performed using the ldavis package (Sievert & Shirley, 2014 ).

Development of Related Research Papers

The direct or indirect role of organizational culture in various processes of digital transformation has been the subject of a lot of research. The studies that formed the basis for our analysis were identified from the Scopus bibliometric database through a search query, which is presented in the “ Research Methodology ” section. The data was collected on March 30, 2023, while on this date, 3065 valid documents were registered in the mentioned database. A significant increase in the number of studies has only been noticeable since 2018. Still, it must be said that studies investigating the links between organizational culture and digitalization appeared sporadically even before that. Figure  1 shows an overview of the annual development of published papers and the number of citations related to the given papers. We can notice that in the last 5 years, research has an exponential character (measured through the number of published papers per year), but at the same time, this research area is interesting for academics (measured through the absolute number of citations).

Development of published papers related to organizational culture and digital transformation

The analyzed amount of papers were published in 1619 sources (journals, proceedings, books, etc.) with various research impacts. Table 5 shows the ranking of the sources that had the greatest impact on research on organizational culture and digital transformation in terms of the total number of citations. The research impact is primarily dominated by journals that directly or indirectly deal with the business environment, which is natural considering the nature of the papers. Of the ten listed top influential papers, as many as seven are from the last 5 years, which indicates that since 2018, research interest and the research impact of the given topic have grown dramatically.

Each analyzed document in our dataset was assigned to one of the 28 subject areas used by the Scopus database for their classification. Such an assignment took place based on pairing information about the journal in which the given article is located with the categorization of the journal according to the subject areas of the Scopus database. Figure  2 shows an overview of research interest and research impact for the individual subject areas.

Overview of research impact and research interest of subject areas

Until 2019, ENGI (engineering) was the most frequent category, while a dramatic increase in papers in the BUSI (business, management, and accounting) group can be seen in the last four years. This increase has caused BUSI to be the subject area with the most outstanding research impact and research interest. No such significant changes were recorded in the other subject areas. Possible reasons for the increased interest of researchers in the field of BUSI in the topic of organizational culture and digital transformation are indirectly indicated by some current studies. For example, the study by Priyanto et al. ( 2023 ) emphasizes the importance of proactively modernizing a business to maintain a competitive edge. The need to increase the competitive edge was also pointed out in the study by Troise et al. ( 2022 ), in which the authors examined the relationships between SMEs’ agility (measured by digital technologies capability, relational capability, and innovation capability) and the effects of agility on three outcomes (financial performance, product and process innovation). These studies and many others (Alomari, 2021 ; Carvalho et al., 2020 ; Chaurasia et al., 2020 ; Tessarini Junior & Saltorato, 2021 ) emphasize the managerial aspect of digitalization, which could explain the dramatic increase in research interest and research impact that we have seen over the last 4 years.

These results are also confirmed by a more detailed analysis of the development of the annual number in the five most numerous subject areas (Fig.  3 ). In the left part, we can see the absolute number of articles in the given subject areas, while the dominance of BUSI is visible mainly in the last three years. However, comparing the share of papers in particular subject areas is very interesting (right part of Fig.  3 ). We see that the increase in the BUSI subject area is continuous, while the share of SOCI (social sciences) and COMP (computer science) is decreasing in the long term. Areas such as ENGI and DECI (decision science) maintain a relatively constant share. According to the long-term trend, it can be assumed that the share of the BUSI subject area will grow in research on topics related to organizational culture and digital transformation in the coming years.

Development of papers in top 5 subject areas — absolute numbers (left) and share (right)

Topics Identification and Their Development

By analyzing the abstracts of the individual papers, it was possible to categorize documents into thematically related clusters using LDA. Such clusters contain papers with the occurrence of the same terms and are called topics. The individual steps of extracting topics from the analyzed dataset are listed in the “ Topic Modelling ” section. To choose the number of topics, several experiments were carried out with the aim of identifying such a constellation in which the individual topics would be well interpretable and, at the same time, sufficiently distinguishable from each other. The number of topics k  = 8 was selected by expert assessment according to these criteria. The results and a brief description of the topics via the top-5 most frequent terms can be found in Fig.  4 as an intertopic distance map between two principal components (PC).

Intertopic distance map

Eight identified topics were analyzed with regard to the most frequented words, and at the same time, the most cited articles in the given topic were also used for their better characterization. This allowed these topics to be named and briefly characterized:

Social Media Connectivity (Topic-1)

This topic includes various aspects of digital and social media, as well as online platforms and the cultural impacts of digital technologies. The Social Media Connectivity topic focuses on main areas like the rise of social media (Munar, 2012 ; van Dijck, 2013 ), its platforms (Mikos, 2016 ; Morris, 2015 ), as well as structural change (Kim, 2020 ; Peukert, 2019 ). The articles of topic-1 explore a wide range of subjects in particular such as social media strategies, digital engagement with heritage, digital storytelling, cultural globalization, and the transformative effects of digital technological change. There are many different inter-organizational subcultures present within organizations that are dealing with convergence and cooperation across media platforms. According to Erdal ( 2009 ), cooperation between those cultures is frequently linked to competition. It is the topic with the most significant research interest (measured through the number of papers), and at the same time, it is the topic with the highest research impact (measured through the number of citations). There are 458 related papers in this topic with a sum of all citations of 91% (based on a 6000 citation strip).

Digital Innovation Ecosystems (Topic-2)

This topic captures the overarching theme of digital transformation across various domains. It emphasizes the integration of digital technologies, innovation processes and the development of ecosystems to drive transformative change in industries and organizations with regard to culture. Regarding the function of organizational culture throughout this transformation process, two alternative viewpoints may be seen. When individuals are empowered to use their problem-solving skills, their capacity for learning and their sense of responsibility, a culture may result in a workforce that is people-centered and engaged driving the integration of digital technologies. On the other hand, there is a culture that focuses primarily on promoting this technology for the purpose of managing or substituting processes neglecting the input and use of people (Rossini et al., 2021 ). The main subjects of this topic include healthcare (Jacob et al., 2020 ), manufacturing (Reinhardt et al., 2020 ), and a digital transformation focus of information systems and organizational practices (Ulas, 2019 ). Additionally, the challenges for the organization and management in rapidly changing environments are analyzed (Granlund & Taipaleenmäki, 2005 ). This topic has a relatively considerable research interest with 419 papers published, but its research impact is average with 51%.

Socio-economic Sustainability (Topic-3)

The Socio-economic Sustainability topic captures the intersection of digital transformation, sustainability and socio-economic considerations across a wide variety of domains such as urban development (Anttiroiko, 2016 ), corporate responsibility and sustainability (Etter et al., 2019 ; Lăzăroiu et al., 2020 ), technology management (Tasleem et al., 2019 ), and organizational practices with regard to culture, among others. In the case of sustainable performance, all forms of organizational culture — based on the types defined by Quinn and Spreitzer ( 1991 ) — have a positive effect on sustainable performance (Gebril Taha & Espino-Rodríguez, 2020 ). There is also a strong correlation between organizational culture and eco-innovation (Reyes-Santiago et al., 2017 ). Furthermore, the sharing economy and its cultural effects towards consumption and ownership are analyzed (Dabbous & Tarhini, 2021 ). The third topic has an average research interest, counting 367 papers and a slightly below-average research impact of 42% compared to the other topics.

Digital Workforce Transformation (Topic-4)

Digital Workforce Transformation highlights the themes of digital transformation with the focus of organizational resilience, leadership, and the impact of technology on work culture and employee well-being. The main focus is on the employee-work relationship, including subjects like leadership (Cortellazzo et al., 2019 ; Guzmán et al., 2020 ), employee well-being (Coldwell, 2019 ; Theurer et al., 2018 ), and resilience (McFadden et al., 2015 ). In particular, the implications on cultural organizational characteristics, operations, digital transformation, and financial planning of COVID-19 for work, workers, and organizations are analyzed (Kniffin et al., 2021 ; Obrenovic et al., 2020 ). As a result of the COVID-19 pandemic, many organizations have changed their mode of operation. They adopted a pure work from home model or make use of a hybrid mode of operation. Establishing a communicative work from home culture will result in increased employee satisfaction (Fay & Kline, 2011 ; Mandal et al., 2023 ). Organizations have to educate their employees concerning these new processes and technologies. Individuals dislike change, so organizations must coordinate training and awareness programs to demonstrate the advantages of new digital platforms and related technologies (Mandal et al., 2023 ). Regarding research interest, this topic is average with 381 papers, and its research impact is slightly below average with 42%.

Digital Competence and Cultural Transformation (Topic-5)

This topic refers to the concepts of competence in the digital era, cultural transformation, innovation, and sustainability. These articles explore different aspects of digital transformation (Suárez-Guerrero et al., 2016 ), the impact of digital competence on various sectors (Konttila et al., 2019 ), cultural factors in innovation and enterprise, and the intersection of technology and culture (Mohelska & Sokolova, 2018 ). The role of leadership in the transformation of organizational culture is also a focus of analysis (Sá & Serpa, 2020 ). From the point of view of research interest, this is a minor topic (355 papers) that simultaneously has a relatively small research impact (33%).

Knowledge, Culture and Innovation (Topic-6)

Knowledge, Culture, and Innovation captures the common themes of knowledge management (Gandini, 2016 ; Yeh et al., 2006 ), organizational culture (Dubey et al., 2019 ), innovation, and the transformative effects (Ungerman et al., 2018 ) of digitalization across various sectors. Digital innovation is linked to organizational culture by the digital capabilities of an organization (Zhen et al., 2021 ). The capabilities required by management in dynamic environments are examined in particular (Karimi & Walter, 2015 ). Research interest, counting 388 papers, as well as research impact, with 56%, of this topic are both average.

Data and Resource Management (Topic-7)

The Data and Resource Management topic encompasses the concepts of digitalization, Industry 4.0, data management, quality management, organizational culture and the impact of technology on various industries (Durana et al., 2019 ; Gunasekaran et al., 2019 ; Sony et al., 2020 ). These titles explore different aspects of implementing Industry 4.0, including the utilization of big data (Chiang et al., 2017 ), improving organizational performance through digital transformation (Ananyin et al., 2018 ) and the role of data-driven decision-making in different sectors. A number of relevant factors for Industry 4.0 implementation like the development of Industry 4.0-specific know-how, securing financial resources, integration of employees into the implementation process, and the establishment of an open-minded and flexible corporate culture are analyzed. (Veile et al., 2020 ). The research interest of this topic is the smallest of all with only 315 papers, and its research impact is also relatively small with 34%.

Digital Transformation Maturity (Topic-8)

This topic covers the concepts of digital transformation, Industry 4.0, maturity models, organizational culture, and the impact of technology on business strategies and performance (Gajsek et al., 2019 ; Teichert, 2019 ). These titles explore various aspects of digitalization, technology implementation, strategic management, organizational resilience, and the adoption factors of Industry 4.0 in the manufacturing industry (Kohnová et al., 2019 ). The analysis shows that factors like organizational identity, dematerialization, and collaboration play a key role in the digital transformation (Tronvoll et al., 2020 ). The size of research interest of this topic is average (382 papers), but its research impact is among the largest (of 80%).

These topics are sufficiently distinguishable from each other not only from an interpretive point of view but also within the position in the intertopic distance map (Fig.  4 ). In the coordinates of two principal components, almost all topics are relatively isolated, meaning they are sufficiently distinguishable from each other. In one case, however, a statistical similarity was identified, namely for topic-2 Digital Innovation Ecosystems and topic-8 Digital Transformation Maturity (Fig.  4 top left). This finding suggests that there is some interrelationship between the two topics. After a closer examination of the articles from both topics, it was found that topic-2 and topic-8 share a rather similar basis of content. The central point of investigation in these articles is the identification of various (success) factors and challenges that arise for organizations and their cultures during the phase of digital transformation (AlBar & Hoque, 2019 ; Cichosz et al., 2020 ; Shardeo et al., 2020 ). Topic-2 builds on this common foundation by focusing on systems and functional aspects. There, the organization’s implementation, integration, and management of tools and data (ERP, big data) is examined. Additionally, this topic focuses on the organization’s life cycle, evolution, business models, and processes like DevOps and Agile development (Gupta et al., 2019 ; Jacob et al., 2020 ; Nascimento et al., 2019 ). On the other hand, the majority of the articles in topic-8 focus on a perspective with regard to the organizational readiness of the organization towards changes related to Industry 4.0, including the impacts those changes will have on culture, the implications for strategy, and the general organization’s maturity through the examination of maturity models (Ganzarain & Errasti, 2016 ; Mittal et al., 2018 ; Santos & Martinho, 2020 ; Schumacher et al., 2016a , b ).

The eight topics identified are not static and their development may change over time. To capture such changes, we analyzed the share of papers (research interest) and the share of citations (research impact) of papers in the last 10 years. We did not analyze the absolute numbers but their relative share primarily to avoid the risk of distortion caused by the exponential increase in the number of articles and citations. The results can be found in Fig.  5 .

Development of research interest (top) and research impact (bottom) in last 10 years

Several findings can be seen in Fig.  5 . The first of them is a marked decrease in topic-1 both from the point of view of research interest and the point of view of research impact. As mentioned earlier, this topic is currently one of the most important. However, trend analysis shows that its importance is declining relatively quickly. It is gradually being replaced by topics with higher research interest (e.g., topic-4) or research impact (e.g., topic-6).

The downward trend of topic-1 Social Media Connectivity can be explained with the growing maturity of this research field. In the early start of the new millennium, the rise of social networks and communication platforms like Facebook, Twitter, Instagram, Whatsapp, and other social media services and applications changed the way of communication and collaboration. As of 2023, this field of research is established and many papers have been published and cited already. Based on our search query, there were 458 papers identified with over 5400 citations in total from 1997 to 2023.

The second finding is the gradual emergence of new topics. These are topics that almost or did not exist 10 years ago. The most significant representative of such topics is topic-4, which almost did not exist in 2013, but is currently one of the most important topics. The upward trend of topic-4 Digital Workforce Transformation is strongly connected with the emergence of new working modes and cultural shifts within the organizational landscape due to COVID-19 pandemic related effects. The rise of topic-4 with a strong focus on the employee-work relationship and employee well-being is relatively new. This was triggered with the start of the worldwide pandemic (COVID-19). The worldwide pandemic had a significant impact on how people worked and communicated. This remote work model has many implications on a number of different fields like organizational culture, collaboration, employee motivation, and productivity, among many others. Thus, the requirement for employees and the organizations to adapt to this new work reality open up many new research fields. The growing topic-6 Knowledge, Culture, and Innovation combines knowledge management, organizational culture, and innovation in regard to the transformative effects of digitalization across various sectors. This topic recently gained special attention because the world economy is facing challenges during the pandemic caused by less international business and trade and increased costs (Amirul et al., 2023 ). Competitive advantages through knowledge management, knowledge sharing, and innovation are the key to deal with the (project) uncertainty many companies face (Borodako et al., 2023 ).

The third finding is that increasing research interest does not necessarily increase research impact. For example, we can mention topic-5 Digital Competence and Cultural Transformation , which is gradually gaining research interest, but its research impact is the smallest of all. However, it should be noted here that research impact is based on processing the number of citations, which can generally have a time delay.

A more detailed characterization of topics is also possible by comparing them to the analyzed subject areas. Figure  6 shows the decomposition of individual topics into subject areas. The basis for this decomposition was the papers themselves.

Decomposition of topics to subject areas

Several findings can be seen in Fig.  6 . Topic-1, which currently dominates research impact and research interest, but has a negative trend, is most associated with papers from the SOCI subject area. If we compare these results with the analysis of subject areas (Fig.  2 ), we can conclude that there are two parallel phenomena — a decrease in interest in both SOCI and topic-1. This topic played a key role in the past, but its outlook, as well as the outlook of organizational culture research in relation to digital transformation in the SOCI subject area, is negative. On the other hand, we can see that the BUSI subject area is most prominently represented in topic-6. By comparing the development of BUSI and the development of topic-6, we can also notice parallel phenomena — in this case, however, with a positive trend. Both topic-6 and the BUSI subject area have been growing in recent years, and it is assumed that this could be the case in the following years as well. In the past the focus of research has been on identification and introduction as well as adaptation of new technologies that drive the trend of digital transformation. With this established foundation, nowadays, the research shifts more towards the application and impacts of these technologies in organizations and its consequences on innovation-orientation, knowledge generation and sharing as well as cultural effects (Kronblad et al., 2023 ). This can be seen with the strengthening of topic-6. Other topics appear more heterogeneous from the point of view of subject areas, and the papers that fall into them are from different subject areas.

This article begins with a brief review of organizational culture research in relation to digital transformation. Later, an overview of the research area was presented based on the 3065 publications listed and identified in the Scopus database. To answer research question 1, we have identified the key journals, papers and authors and have shown the development of publications over time. Research interest and research impact of the given topic have grown dramatically since 2018. According to research areas, from 2004 until 2023, the share of papers (research impact) as well as the share of citations (research interest) is mainly contributed to the subject area of BUSI (with a share of more than 25%). The dominance of BUSI has been visible mainly in the last 3 years.

The identification of the dominant research topics (research question 2) resulted in eight topics: Social Media Connectivity , Digital Innovation Ecosystems , Socio-economic Sustainability , Digital Workforce Transformation , Digital Competence and Cultural Transformation , Knowledge, Culture and Innovation , Data and Resource Management , and Digital Transformation Maturity . The topic with the most significant research interest (measured by the number of papers) and the highest research impact (measured by the number of citations) is Social Media Connectivity (topic-1). This is because of the strong role of this topic in the past. The outlook is declining for this topic as well as the related subject area SOCI. Two rising topics were identified. In recent years Digital Workforce Transformation (topic-4) and Knowledge, Culture, and Innovation (topic-6) gained strong interest. Both are from the area of BUSI.

To fulfil the aims of the article, following the completion of the literature review, we were able to identify a number of research topics that are distinct due to the methodology that we have utilized. As a result of their development over time, some of these topics are also relatively new; for instance, as of 2013, topic-4 ( Digital Workforce Transformation ) did not exist at all. In light of the fact that the topics have developed over time, it is clear that the most important areas influencing culture have been transformed under the conditions brought about by digital transformation.

Implications

Firstly, this study demonstrated a machine learning–supported method for identifying and segmenting the current state of this research field. This method, as used in this paper, can be applied to other fields to obtain a systematic overview of research topics.

Secondly, organizational culture has been a field of research for many years and research on digital transformation is constantly growing. The interrelation of these two research areas is relatively new, and their findings will have a lasting effect on the formation and effectiveness of organizational culture in the future.

With the increased interest in Digital Workforce Transformation and Knowledge, Culture, and Innovation , we could identify a shift in the research field on organizational culture in relation to digital transformation towards the subject area of BUSI. Those two rising topics show a need to focus on the impact of technology on work culture and employee well-being, as well as on knowledge management and innovation in relation to organizational culture.

The long-term trend of the share development of the BUSI subject area indicates that this area will also grow continuously in the future. From 2019 onwards, the constant increase of papers published per year implies that additional distinct new topics will be established in this field of research. These and other future trends will help researchers to focus on relevant topics and areas for their work.

A possible explanation for this shift in research could derive from the impact technological changes have on businesses today. The work-related requirements during the COVID-19 pandemic acted as a catalyst for many technological advancements due to the necessity to work instantly remote, changing many processes and all communication to digital. This growing importance of technology for every business could lead to an increased relevance and importance for management practice as well as for researchers. An additional cause for organizations to reevaluate matters related to knowledge and innovation is the pervasive integration and accessibility of AI technology in routine business operations. The alignment of current processes, particularly the innovation process within organizations, with this novel capability will be a subject of interest for managers and researchers as well.

Following the functionalist perspective on organizational culture, the management of organizations can attempt to control and change culture (Alvesson, 1993 ). The introduction of these two topics has significant implications for management practice. A strong organizational culture that is people-centered is essential for successful knowledge-driven organizational innovation. As a result, managers must pay special attention to the factors that influence work culture, address the challenges that arise during the transformation, and understand and improve their organization’s digital capabilities.

Managers can focus their efforts on a variety of areas to foster an adaptable, innovative, and supportive work culture while effectively leveraging technology for digital transformation. Enhanced emphasis is placed on the behavior and collaboration of the team and managers, while these recommendations also encompass measures pertaining to the structure and processes.

The delegation of decision-making authority and work ownership responsibility to employees by managers is a critical structural element. Utilizing data to facilitate well-informed decision-making can provide support for this. Establishing a work environment that offers adequate resources and support, including tools, training, and assistance in adjusting to digital transformations and fostering innovation, is an additional critical element (Veile et al., 2020 ). Furthermore, it is beneficial to measure and communicate progress by assessing the impact of digital transformation on work culture, employee well-being, knowledge management, and innovation on a regular basis. The manager should be willing to make the necessary cultural changes to align, adapt, and evolve organizational culture in the digital age (Cortellazzo et al., 2019 ).

During digital transformation, an open and productive organizational culture will be fostered through the promotion of a flexible and inclusive work environment that actively solicits employee feedback and input, with a focus on employee well-being (Coldwell, 2019 ). Managers who set a good example and encourage their employees’ continuous learning and skill development, as well as cross-functional collaboration, will be better able to promote an adaptive organizational culture in an increasingly digital and competitive landscape (Sá & Serpa, 2020 ). Creating a culture that values innovation and encourages employees to come up with new ideas and solutions, as well as celebrating successful innovations, can help managers create a people-oriented work culture that is essential for organizational innovation (Karimi & Walter, 2015 ). This can be seen in the increased interest in the area on Knowledge, Culture, and Innovation by organizations as well as by researchers.

Limitations and Future Research

This study has a number of limitations, which can be mainly attributed to the way the analysis was conducted. The focus of this study is on an automated bibliometric analysis of the literature. While the quantitative focus has many advantages, it also has some limitations. The main advantage includes the possibility to process and analyze a large number of papers via automation and machine learning techniques. A total of 3065 papers were analyzed. This approach — in comparison to a standard systematic literature review — does not analyze the papers manually. Therefore, some relevant documents could be missing, as well as some irrelevant ones might be included. The authors have selected a search query that yields highly relevant search results. Thus, it is assumed that the share of notable articles that are missing is very small and therefore neglectable and does not have a significant impact on the results.

The applied dataset covers most of the important publications, but all the data comes from just one database (Scopus). This is not comprehensive, and some relevant articles (or journals) could be excluded. In addition, some information may be missing because the source of analysis is not the full text of the articles. Another limitation comes from the fact that the primary focus in the topic modeling are the abstracts of the relevant papers and not the whole text. The analysis of the full text could potentially provide a more extensive understanding, but at the same time, it would take much longer.

We decided on the expert approach by determining the number of topics, as the statistical approach resulted in a large number of topics. This may be of a subjective nature, but it resulted in eight well interpretable and sufficiently distinguishable topics. The title, abstract, and keywords of each topic’s top-30 papers (based on citation count) were used to name each topic. This results in subjective topic names but helps to sum up each topic with a generalized distinct phrase.

This study suggests a number of possible future directions for additional research. It is recommended to extend the data sources to other databases than Scopus as well as the search query. This could result in capturing an increased number of relevant papers. In this research two developing, fast growing topics (topic-4 and topic-6) were identified. Further research should concentrate on examining this trend and focusing on those topics.

Future research could concentrate on finding various organizational culture types that reflect and favor those two emerging topics. Considering Quinn and Rohrbaugh’s CVF (Cameron & Quinn, 1999 ; Quinn & Rohrbaugh, 1983 ), the characteristics of the adhocracy culture type may align with the aspects connected to Digital Workforce Transformation and Knowledge, Culture and Innovation as this culture type values innovation and flexibility. This can be supported through the systematic research and cultural audits in organizations.

Data Availability

The data and code that support the findings of this study are available from the corresponding author upon request.

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Open access funding provided by The Ministry of Education, Science, Research and Sport of the Slovak Republic in cooperation with Centre for Scientific and Technical Information of the Slovak Republic This paper was funded by Faculty of Management, Comenius University Bratislava, Slovakia, and supported by the project VEGA 1/0614/23 Preparedness of companies for the challenges associated with Industry 4.0 in terms of business processes and business process management.

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Reisberger, T., Reisberger, P., Copuš, L. et al. The Linkage Between Digital Transformation and Organizational Culture: Novel Machine Learning Literature Review Based on Latent Dirichlet Allocation. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-02027-3

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DOI : https://doi.org/10.1007/s13132-024-02027-3

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