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What is Applied Research? Definition, Types, Examples

Appinio Research · 10.01.2024 · 35min read

Ever wondered how groundbreaking solutions to real-world challenges are developed, or how innovations come to life? Applied research holds the key. In this guide, we will delve deep into the world of applied research, uncovering its principles, methodologies, and real-world impact.  From harnessing cutting-edge technology to address healthcare crises to revolutionizing industries through data-driven insights, we'll explore the diverse domains where applied research thrives.

What is Applied Research?

Applied research is a systematic and organized inquiry aimed at solving specific real-world problems or improving existing practices, products, or services. Unlike basic research, which focuses on expanding general knowledge, applied research is all about using existing knowledge to address practical issues.

The primary purpose of applied research is to generate actionable insights and solutions that have a direct impact on practical situations. It seeks to bridge the gap between theory and practice by taking existing knowledge and applying it in real-world contexts. Applied research is driven by the need to address specific challenges, make informed decisions, and drive innovation in various domains.

Importance of Applied Research

Applied research holds immense significance across various fields and industries. Here's a list of reasons why applied research is crucial:

• Problem Solving:  Applied research provides effective solutions to real-world problems, improving processes, products, and services.
• Innovation:  It drives innovation by identifying opportunities for enhancement and developing practical solutions.
• Evidence-Based Decision-Making:  Policymakers and decision-makers rely on applied research findings to make informed choices and shape effective policies.
• Competitive Advantage:  In business, applied research can lead to improved products, increased efficiency, and a competitive edge in the market.
• Social Impact:  Applied research contributes to solving societal issues, from healthcare improvements to environmental sustainability.
• Technological Advancement:  In technology and engineering, it fuels advancements by applying scientific knowledge to practical applications.

Applied Research vs. Basic Research

Applied research differs from basic research in several key ways:

• Objectives:  Applied research aims to address specific practical problems or improve existing processes, while basic research seeks to expand general knowledge.
• Focus:  Applied research focuses on solving real-world challenges, whereas basic research explores fundamental principles and concepts.
• Applicability:  Applied research findings are directly applicable to practical situations, while basic research often lacks immediate practical applications.
• Immediate Impact:  Applied research has a more immediate impact on solving problems and improving practices, whereas basic research may have longer-term or indirect effects on knowledge and innovation.
• Research Questions:  Applied research formulates research questions related to practical issues, while basic research poses questions to explore theoretical or fundamental concepts.

Understanding these distinctions is essential for researchers, policymakers, and stakeholders in various fields, as it guides the choice of research approach and the expected outcomes of a research endeavor.

Types of Applied Research

Applied research encompasses various types, each tailored to specific objectives and domains. Understanding these types is essential for choosing the right approach to address real-world problems effectively. Here are some common types of applied research, each with its distinct focus and methodologies.

Evaluation Research

Purpose:  Evaluation research assesses the effectiveness, efficiency, and impact of programs, interventions, or policies. It aims to determine whether these initiatives meet their intended goals and objectives.

Methodology:  Researchers employ a range of quantitative and qualitative methods , including surveys, interviews, observations, and data analysis, to evaluate the outcomes and outcomes of programs or interventions.

Example:  Evaluating the impact of a public health campaign aimed at reducing smoking rates by analyzing pre- and post-campaign survey data on smoking habits and attitudes.

Action Research

Purpose:  Action research focuses on solving practical problems within a specific organizational or community context. It involves collaboration between researchers and practitioners to implement and assess solutions.

Methodology:  Action research is iterative and participatory, with researchers and stakeholders working together to identify problems, develop interventions, and assess their effectiveness. It often involves cycles of planning, action, reflection, and adjustment.

Example:  Teachers collaborating with researchers to improve classroom teaching methods and student outcomes by implementing and refining innovative teaching strategies.

Case Study Research

Purpose:   Case study research investigates a particular individual, organization, or situation in-depth to gain a comprehensive understanding of a specific phenomenon or issue.

Methodology:  Researchers collect and analyze a wealth of data, which may include interviews, documents, observations, and archival records. The goal is to provide a detailed and context-rich description of the case.

Example:  A detailed examination of a successful startup company's growth strategies and challenges, offering insights into factors contributing to its success.

Applied Experimental Research

Purpose:  Applied experimental research seeks to establish causal relationships between variables by manipulating one or more factors and observing their impact on outcomes. It helps determine cause-and-effect relationships in real-world settings.

Methodology:  Researchers conduct controlled experiments, similar to those in basic research, but within practical contexts. They manipulate variables and use statistical analysis to assess their effects on specific outcomes.

Example:  Testing the impact of different website designs on user engagement and conversion rates by randomly assigning visitors to various design versions and measuring their interactions.

Survey Research

Purpose:   Survey research involves collecting data from a sample of individuals or organizations to understand their opinions, attitudes, behaviors, or characteristics. It is commonly used to gather quantitative data on specific topics.

Methodology:  Researchers design surveys with carefully crafted questions and administer them to a representative sample of the target population . Statistical analysis is used to draw conclusions based on survey responses.

Example:  Conducting a national survey to assess public sentiment and preferences on environmental conservation initiatives and policies.

These types of applied research provide a framework for approaching real-world challenges systematically. Researchers can choose the most appropriate type based on their research goals, objectives, and the nature of the problem or phenomenon they seek to address. By selecting the right approach, applied researchers can generate valuable insights and practical solutions in various fields and disciplines.

How to Prepare for Applied Research?

In the preparatory phase of your applied research journey, you'll lay the groundwork for a successful study. This phase involves a series of crucial steps that will shape the direction and ethics of your research project.

Identifying Research Questions

One of the key starting points for any applied research endeavor is identifying the right research questions. Your research questions should be clear, specific, and directly related to the problem or issue you aim to address.

• Engage with Stakeholders:  Reach out to individuals or groups who are affected by or have an interest in the issue you're researching. Their perspectives can help you formulate relevant questions.
• Consider Feasibility:  Ensure that your research questions are feasible within your available resources, including time, budget, and access to data or participants.
• Prioritize Impact:  Focus on questions that have the potential to create meaningful change or provide valuable insights in your chosen field.

Formulating Hypotheses

Hypotheses serve as the guiding stars of your research, providing a clear direction for your investigation. Formulating hypotheses is a critical step that sets the stage for testing and validating your ideas.

• Testable Predictions:  Your hypotheses should be testable and capable of being proven or disproven through empirical research.
• Informed by Literature:  Base your hypotheses on existing knowledge and insights gained from the literature review. They should build upon what is already known and aim to expand that knowledge.
• Clarity and Precision:  Write your hypotheses in a clear and precise manner, specifying the expected relationship or outcome you intend to explore.

Literature Review

Conducting a thorough literature review is like embarking on a treasure hunt through existing knowledge in your field. It's a comprehensive exploration of what other researchers have already discovered and what gaps in knowledge still exist.

• Search Strategies:  Utilize academic databases, journals, books, and credible online sources to search for relevant literature.
• Analyze Existing Research:  Examine the findings, methodologies, and conclusions of previous studies related to your research topic.
• Identify Research Gaps:  Look for areas where current knowledge is insufficient or contradictory. These gaps will be the foundation for your own research.

Data Collection Methods

Selecting the proper data collection methods is crucial to gather the information needed to address your research questions. The choice of methods will depend on the nature of your research and the type of data you require.

• Quantitative vs. Qualitative:  Decide whether you will collect numerical data (quantitative) or focus on descriptive insights and narratives (qualitative).
• Survey Design :  If surveys are part of your data collection plan, carefully design questions that are clear, unbiased, and aligned with your research goals.
• Sampling Strategies:  Determine how you will select participants or data points to ensure representativeness and reliability.

Ethical Considerations

Ethical considerations are at the heart of responsible research. Ensuring that your study is conducted ethically and with integrity is paramount.

• Informed Consent:  Obtain informed consent from participants, ensuring they understand the purpose of the research, potential risks, and their right to withdraw at any time.
• Confidentiality:  Safeguard participants' personal information and ensure their anonymity when reporting findings.
• Minimizing Harm:  Take measures to mitigate any physical or emotional harm that participants may experience during the research process.
• Ethical Reporting:  Accurately represent your research findings, avoiding manipulation or selective reporting that may mislead readers or stakeholders.

By diligently addressing these aspects of research preparation, you are building a solid foundation for your applied research project, setting the stage for effective data collection and meaningful analysis in the subsequent phases of your study.

How to Design Your Research Study?

When it comes to applied research, the design of your study is paramount. It shapes the entire research process, from data collection to analysis and interpretation. In this section, we will explore the various elements that make up the foundation of your research design.

Research Design Types

Your choice of research design is like selecting the blueprint for your research project. Different research design types offer unique advantages and are suited for different research questions. Here are some common research design types:

• Experimental Design :  In this design, researchers manipulate one or more variables to observe their impact on outcomes. It allows for causal inference but may not always be feasible in applied research due to ethical or practical constraints.
• Descriptive Design:  This design aims to describe a phenomenon or population without manipulating variables. It is often used when researchers want to provide a snapshot of a situation or gain insights into a specific context.
• Correlational Design :  In this design, researchers examine relationships between variables without manipulating them. It helps identify associations but does not establish causation.
• Longitudinal Design:  Longitudinal studies involve collecting data from the same subjects over an extended period. They are valuable for tracking changes or developments over time.
• Cross-Sectional Design :  This design involves data collection from a diverse group of subjects at a single point in time. It's helpful in studying differences or variations among groups.

Sampling Methods

Sampling methods determine who or what will be included in your study. The choice of sampling method has a significant impact on the generalizability of your findings. Here are some standard sampling methods:

• Random Sampling:  This method involves selecting participants or data points entirely at random from the population. It ensures every element has an equal chance of being included, which enhances representativeness.
• Stratified Sampling:  In stratified sampling, the population is divided into subgroups or strata, and then random samples are drawn from each stratum. This method ensures that each subgroup is adequately represented.
• Convenience Sampling:  Researchers choose subjects or data points that are readily available and accessible. While convenient, this method may lead to sampling bias as it may not accurately represent the entire population.
• Purposive Sampling:  In purposive sampling, researchers deliberately select specific individuals or groups based on their expertise, experience, or relevance to the research topic. It is often used when seeking specialized knowledge.

Data Collection Tools

Selecting the right data collection tools is essential to gather accurate and relevant information. Your choice of tools will depend on the research design and objectives. Standard data collection tools include:

• Questionnaires and Surveys:  These structured instruments use standardized questions to gather data from participants. They are suitable for collecting large amounts of quantitative data.
• Interviews:   Interviews can be structured, semi-structured, or unstructured. They provide an opportunity to gather in-depth, qualitative insights from participants.
• Observation:  Direct observation involves systematically watching and recording behaviors or events. It's valuable for studying behaviors or phenomena in their natural context.
• Secondary Data :  Researchers can also utilize existing data sources, such as government reports, databases, or historical records, for their research.

Variables and Measurement

Defining variables and choosing appropriate measurement methods is crucial for ensuring the reliability and validity of your research. Variables are characteristics, phenomena, or factors that can change or vary in your study. They can be categorized into:

• Independent Variables:  These are the variables you manipulate or control in your study to observe their effects on other variables.
• Dependent Variables:  These are the variables you measure to assess the impact of the independent variables.

Choosing the right measurement techniques, scales, or instruments is essential to accurately quantify variables and collect valid data. It's crucial to establish clear operational definitions for each variable to ensure consistency in measurement.

Data Analysis Techniques

Once you have collected your data, the next step is to analyze it effectively. Data analysis involves:

• Data Cleaning:  Removing any errors, inconsistencies, or outliers from your dataset to ensure data quality.
• Statistical Analysis :  Depending on your research design and data type, you may use various statistical techniques such as regression analysis , t-tests, ANOVA, or chi-square tests.
• Qualitative Analysis:  For qualitative data, techniques like thematic analysis, content analysis, or discourse analysis help uncover patterns and themes.
• Data Visualization:  Using graphs, charts, and visual representations to present your data effectively.

Selecting the appropriate analysis techniques depends on your research questions, data type, and objectives. Proper data analysis is crucial for drawing meaningful conclusions and insights from your research.

With a solid understanding of research design, sampling methods, data collection tools, variables, and measurement, you are well-equipped to embark on your applied research journey. These elements lay the groundwork for collecting valuable data and conducting meaningful analyses in the subsequent phases of your study.

How to Conduct Applied Research?

Now that you've prepared and designed your research study, it's time to delve into the practical aspects of conducting applied research. This phase involves the execution of your research plan, from collecting data to drawing meaningful conclusions. Let's explore the critical components in this stage.

Data Collection Phase

The data collection phase is where your research plan comes to life. It's a crucial step that requires precision and attention to detail to ensure the quality and reliability of your data.

• Implement Data Collection Methods:   Execute the data collection methods you've chosen, whether they involve surveys, interviews, observations, or the analysis of existing datasets.
• Maintain Consistency:  Ensure that data collection is carried out consistently according to your research design and protocols. Minimize any variations or deviations that may introduce bias .
• Document the Process:  Keep thorough records of the data collection process. Note any challenges, unexpected occurrences, or deviations from your original plan. Documentation is essential for transparency and replication.
• Quality Assurance:  Continuously monitor the quality of the data you collect. Check for errors, missing information, or outliers. Implement data validation and cleaning procedures to address any issues promptly.
• Participant Engagement:  If your research involves human participants, maintain open and respectful communication with them. Address any questions or concerns and ensure participants' comfort and willingness to participate.

Data Analysis Phase

Once you've collected your data, it's time to make sense of the information you've gathered. The data analysis phase involves transforming raw data into meaningful insights and patterns.

• Data Preparation:  Start by organizing and cleaning your data. This includes dealing with missing values, outliers, and ensuring data consistency.
• Selecting Analysis Methods:  Depending on your research design and data type, choose the appropriate statistical or qualitative analysis methods. Common techniques include regression analysis , content analysis, or thematic coding .
• Conducting Analysis:  Perform the chosen analysis systematically and according to established protocols. Ensure that your analysis is reproducible by documenting every step.
• Interpreting Results:  Interpretation involves making sense of your findings in the context of your research questions and hypotheses. Consider the statistical significance of the results and any practical implications they may have.
• Visualization:  Create visual representations of your data, such as graphs, charts, or tables, to convey your findings effectively. Visualizations make complex data more accessible to a broader audience.

Interpretation of Results

Interpreting research results is a critical step that bridges the gap between data analysis and drawing conclusions. This process involves making sense of the patterns and insights that emerge from your analysis.

• Relate to Hypotheses:  Determine whether your results support or refute your hypotheses. Be prepared to explain any unexpected findings.
• Contextualize Findings:  Consider the broader context in which your research takes place. How do your results fit into the larger body of knowledge in your field?
• Identify Patterns :  Highlight significant trends, correlations, or relationships you've uncovered. Discuss their practical implications and relevance.
• Acknowledge Limitations:  Be transparent about any limitations in your study that may affect the interpretation of results. This includes sample size, data quality, and potential biases.

Drawing Conclusions

Drawing conclusions is the ultimate goal of your research. It involves synthesizing your findings and answering the research questions you initially posed.

• Answer Research Questions:  Explicitly address the research questions you formulated at the beginning of your study. State whether your findings confirm or challenge your initial hypotheses.
• Highlight Insights:  Emphasize the key insights and contributions of your research. Discuss the practical implications of your findings and their relevance to the field.
• Recommend Actions:  Based on your conclusions, suggest practical steps, recommendations, or future research directions. How can your research contribute to addressing the problem or challenge you investigated?
• Consider Implications:  Reflect on the broader implications of your research for stakeholders, policymakers, or practitioners in your field.

Common Pitfalls to Avoid

During the data collection, analysis, interpretation, and conclusion-drawing phases, it's essential to be aware of common pitfalls that can affect the quality and integrity of your research.

• Sampling Bias :  Ensure that your sample is representative of the population you intend to study. Address any bias that may have been introduced during data collection.
• Data Manipulation:  Avoid manipulating or selectively reporting data to fit preconceived notions. Maintain transparency in your analysis and reporting.
• Overinterpretation:  Be cautious of drawing overly broad conclusions based on limited data. Acknowledge the limitations of your study.
• Ignoring Ethical Considerations:  Continuously uphold ethical standards in your research, from data collection to reporting. Protect participants' rights and privacy.
• Lack of Validation:  Ensure that the methods and tools you use for data collection and analysis are valid and reliable. Validation helps establish the credibility of your findings.

By navigating the data collection, analysis, interpretation, and conclusion-drawing phases with care and attention to detail, you'll be well-prepared to confidently share your research findings and contribute to advancing knowledge in your field.

How to Report Applied Research Results?

Now that you've conducted your applied research and drawn meaningful conclusions, it's time to share your insights with the world. Effective reporting and communication are crucial to ensure that your research has a real impact and contributes to the broader knowledge base.

Writing Research Reports

Writing a comprehensive research report is the cornerstone of communicating your findings. It provides a detailed account of your research process, results, and conclusions. Here's what you need to consider:

Structure of a Research Report

• Title:  Create a concise, informative title that reflects the essence of your research.
• Abstract:  Summarize your research in a clear and concise manner, highlighting key objectives, methods, results, and conclusions.
• Introduction:  Provide an overview of your research topic, objectives, significance, and research questions.
• Literature Review:  Summarize relevant literature and identify gaps in existing knowledge that your research addresses.
• Methodology:  Describe your research design, sampling methods, data collection tools, and data analysis techniques.
• Results:  Present your findings using tables, charts, and narratives. Be transparent and objective in reporting your results.
• Discussion:  Interpret your results, discuss their implications, and relate them to your research questions and hypotheses.
• Conclusion:  Summarize your main findings, their significance, and the implications for future research or practical applications.
• References:  Cite all sources and studies you referenced in your report using a consistent citation style (e.g., APA, MLA).

Writing Tips

• Use clear and concise language, avoiding jargon or overly technical terms.
• Organize your report logically, with headings and subheadings for easy navigation.
• Provide evidence and data to support your claims and conclusions.
• Consider your target audience and tailor the report to their level of expertise and interest.

Creating Visualizations

Visualizations are powerful tools for conveying complex data and making your research findings more accessible. Here are some types of visualizations commonly used in research reports:

Charts and Graphs

• Bar Charts:  Ideal for comparing categories or groups.
• Line Charts:  Effective for showing trends or changes over time.
• Pie Charts:  Useful for displaying proportions or percentages.
• Data Tables:  Present numerical data in an organized format.
• Cross-tabulations:  Show relationships between variables.

Diagrams and Maps

• Flowcharts:  Visualize processes or workflows.
• Concept Maps:  Illustrate connections between concepts.
• Geographic Maps:  Display spatial data and patterns.

When creating visualizations:

• Choose the correct type of visualization for your data and research questions.
• Ensure that visualizations are labeled, clear, and easy to understand.
• Provide context and explanations to help readers interpret the visuals.

Presenting Your Research

Presenting your research to an audience is an opportunity to engage, educate, and inspire. Whether it's through a conference presentation, seminar, or webinar, effective communication is vital.

• Know Your Audience:  Tailor your presentation to the interests and expertise of your audience.
• Practice:  Rehearse your presentation to ensure a smooth delivery and confident demeanor.
• Use Visual Aids:  Enhance your presentation with visual aids such as slides, images, or videos.
• Engage with Questions:  Encourage questions and discussions to foster interaction and clarify points.
• Stay within Time Limits:  Respect time constraints and stay on schedule.

Peer Review Process

Before your research is published, it typically undergoes a peer review process. This involves experts in your field evaluating the quality, validity, and significance of your work. The peer review process aims to ensure the integrity and credibility of your research.

• Submission:  Submit your research manuscript to a journal or conference for review.
• Editorial Review:  The editorial team assesses your submission's fit with the journal's scope and may conduct an initial review for quality and compliance.
• Peer Review:  Your manuscript is sent to peer reviewers who evaluate it for methodology, validity, significance, and adherence to ethical standards.
• Feedback and Revision:  Based on reviewers' feedback, you may be asked to revise and improve your research.
• Acceptance or Rejection:  After revisions, the manuscript is reevaluated, and a decision is made regarding publication.

Publishing Your Research

Publishing your research is the final step in sharing your findings with the broader scientific community. It allows others to access and build upon your work. Consider the following when choosing where to publish:

• Journal Selection:  Choose a reputable journal that aligns with your research field and target audience.
• Review Process:  Understand the journal's peer review process and requirements for submission.
• Open Access:  Consider whether you want your research to be open access, freely accessible to all.

Once published, actively promote your research through academic networks, conferences, and social media to maximize its reach and impact.

By effectively reporting and communicating your research findings, you contribute to the advancement of knowledge, inspire others, and ensure that your hard work has a meaningful impact on your field and beyond.

Applied Research Examples

To provide a deeper understanding of applied research's impact and relevance, let's delve into specific real-world examples that demonstrate how this type of research has addressed pressing challenges and improved our lives in tangible ways.

Applied Medical Research: mRNA Vaccines

Example:  mRNA (messenger RNA) vaccine technology, exemplified by the COVID-19 vaccines developed by Pfizer-BioNTech and Moderna, is a remarkable achievement in the field of applied medical research.

Applied researchers in this domain utilized mRNA technology to create vaccines that provide immunity against the SARS-CoV-2 virus. Unlike traditional vaccines, which use weakened or inactivated viruses, mRNA vaccines instruct cells to produce a harmless spike protein found on the virus's surface. The immune system then recognizes this protein and mounts a defense, preparing the body to combat the actual virus.

Impact:  The rapid development and deployment of mRNA vaccines during the COVID-19 pandemic have been groundbreaking. They've played a crucial role in controlling the spread of the virus and saving countless lives worldwide. This example underscores how applied research can revolutionize healthcare and respond swiftly to global health crises.

Environmental Science and Applied Research: Ocean Cleanup

Example:  The Ocean Cleanup Project, founded by Boyan Slat, is an ambitious endeavor rooted in applied research to combat plastic pollution in the world's oceans.

This project employs innovative technology, such as large-scale floating barriers and autonomous systems, to collect and remove plastic debris from the ocean. Applied researchers have played a pivotal role in designing, testing, and optimizing these systems to make them efficient and environmentally friendly.

Impact:  The Ocean Cleanup Project is a testament to the power of applied research in addressing pressing environmental challenges. By removing plastic waste from the oceans, it mitigates harm to marine ecosystems and raises awareness about the urgent need for sustainable waste management.

Business and Applied Research: E-commerce Personalization

Example:   E-commerce giants like Amazon and Netflix use applied research to develop sophisticated personalization algorithms that tailor product recommendations and content to individual users.

Applied researchers in data science and machine learning analyze user behavior, preferences, and historical data to create recommendation systems. These algorithms utilize predictive analytics to suggest products, movies, or shows that align with a user's interests.

Impact:  The application of research-driven personalization has transformed the e-commerce and streaming industries. It enhances user experiences, increases customer engagement, and drives sales by presenting customers with products or content they are more likely to enjoy.

Education and Applied Research: Flipped Classroom Model

Example:  The Flipped Classroom Model is an applied research-based teaching approach that has gained popularity in education.

In this model, instructors leverage technology to deliver instructional content (such as video lectures) outside of class, allowing in-class time for active learning, discussions, and problem-solving. Applied research has informed the design and implementation of this pedagogical approach.

Impact:  The Flipped Classroom Model has shown promise in enhancing student engagement and learning outcomes. It capitalizes on research findings about how students learn best, emphasizing active participation and collaborative learning.

Agriculture and Applied Research: Precision Agriculture

Example:  Precision agriculture employs data-driven technology and applied research to optimize farming practices.

Farmers utilize satellite imagery, sensors, and data analytics to monitor crop conditions, soil health, and weather patterns. Applied research guides the development of precision farming techniques, enabling more efficient resource allocation and reducing environmental impact.

Impact:  Precision agriculture increases crop yields, conserves resources (such as water and fertilizer), and minimizes the ecological footprint of farming. This approach contributes to sustainable and economically viable agriculture.

These real-world examples underscore the versatility and impact of applied research across diverse domains. From healthcare and environmental conservation to business, education, and agriculture, applied research continually drives innovation, addresses critical challenges, and enhances the quality of life for individuals and communities worldwide.

Conclusion for Applied Research

Applied research is a powerful force for solving real-world problems and driving progress. By applying existing knowledge and innovative thinking, we can address healthcare challenges, protect our environment, improve businesses, enhance education, and revolutionize agriculture. Through this guide, you've gained valuable insights into the what, why, and how of applied research, unlocking the potential to make a positive impact in your field. So, go forth, conduct meaningful research, and be part of the solution to the world's most pressing issues. Remember, applied research is not just a concept; it's a practical approach that empowers individuals and teams to create solutions that matter. As you embark on your own applied research endeavors, keep the spirit of inquiry alive, remain open to new ideas, and never underestimate the transformative power of knowledge put into action.

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• What is Applied Research? + [Types, Examples & Method]

Every research begins with a clear delineation of the purpose of the investigation as this goes a long way to determine the research process or methodology adopted. In this sense, a researcher may choose to carry out basic research or applied research. 

Applied research is set on providing answers to specific questions in a bid to provide a solution to a defined problem. In this article, we will outline the features of this method of systematic investigation as well as how it differs from other approaches to research. 

What is Applied Research?

Applied research is a type of research design that seeks to solve a specific problem or provide innovative solutions to issues affecting an individual, group or society. It is often referred to as a scientific method of inquiry or contractual research because it involves the practical application of scientific methods to everyday problems. 

When conducting applied research, the researcher takes extra care to identify a problem, develop a research hypothesis and goes ahead to test these hypotheses via an experiment. In many cases, this research approach employs empirical methods in order to solve practical problems. 

Applied research is sometimes considered to be a non-systematic inquiry because  of its direct approach in  seeking a solution to a problem. It is typically a follow-up research design that further investigates the findings of pure or basic research in order to validate these findings and apply them to create innovative solutions.     

Types of Applied Research

There are 3 types of applied research. These are evaluation research, research and development, and action research.

• Evaluation Research

Evaluation research is a type of applied research that analyses existing information about a research subject to arrive at objective research outcomes or reach informed decisions. This type of applied research is mostly applied in business contexts, for example, an organisation may adopt evaluation research to determine how to cut down  overhead costs.

• Research and Development

Research and development is a type of applied research that is focused on developing new products and services based on the needs of target markets. It focuses on gathering information about marketing needs and finding ways to improve on an existing product or create new products that satisfy the identified needs.

• Action Research

Action research is a type of applied research that is set on providing practical solutions to specific business problems by pointing the business in the right directions. Typically, action research is a process of reflective inquiry that is limited to specific contexts and situational in nature.

Examples of Applied Research 

Applied research is relevant in different fields of study; especially science and social science-related fields. Examples of applied research can be seen in medicine, education, business, engineering, psychology and health, and these would be further explicated below. 

Applied Research Example in Business

Applied research is used in business to build knowledge and develop product solutions. It enables organisations to identify the peculiar needs of target markets and this would help them to create different business strategies that would allow them to satisfy these needs. 

In addition, conducting contractual research would help business owners to get insightful feedback on product gaps that may have, otherwise, been ignored. This is a great way to get first-hand information on target market reactions which can inform brand decisions. 

Applied research also helps employers of labour to identify and address the productivity needs of their workforce. For instance, an organization may carry out applied research in order to measure the effectiveness of its recruitment practices or of its organisational structure. 

• Applied research to improve an organization’s hiring process.
• Applied research to improve workplace efficiency and organizational policies.
• Applied research to bridge skill gaps in the workplace.

Applied Research Examples in Education  

In education, applied research is used to test pedagogic processes in order to discover the best teaching and learning methods. It is also used to test educational policies before implementation and to address different issues associated with teaching paradigms and classroom dynamics for a better learning experience. 

Educational applied research attempts solving a problem by gathering data from primary sources using a combination of qualitative and quantitative data collection methods. This data serves as empirical evidence which is then subjected to rigorous analysis and description in order to arrive at valid conclusions.

The goal of this research methodology is to determine the applicability of educational theory and principles by way of subjecting hypotheses to experimentation within specific settings. Applied research in education is also more utilitarian as it gathers practical evidence that can inform pragmatic solutions to problems. 

Characteristics of Applied Research in Education 

• It clearly highlights generalizations and hypotheses that inform the research findings.
• It relies on empirical evidence.
• It is set at providing solutions to a defined problem.
• It requires accurate observation and description.
• A study into the way to improve teacher-learner classroom engagements.
• A study into the way to improve a school’s readiness for its students.
• A study to build students’ interests in Mathematics.

Applied Research Example in Science

In itself, applied research is a scientific method of investigation because it applies existing scientific knowledge to practical situations. It is useful in different fields including thermodynamics, physics, material sciences and microbiology. 

Examples of applied research in science include the following: 

• Applied research to improve agricultural crop production
• Applied research to treat or cure a specific disease.

Applied Research Examples in Psychology  

There are different reasons psychologists would make use of applied research in the course of their work. In many cases, industrial-psychologists concerned with workplace behavior, human resources and organisational development combine psychological principles with applied research to proffer solutions. 

Examples of applied research in psychology include:

• Applied research to improve workplace commitment by arriving at practical worker-motivation strategies.
• Investigating treatment and management options for anxiety and panic attacks.
• Investigating factors that improve worker’s productivity.

Applied Research Example in Health   

In health and medical sciences, applied research serves as the background to evidence-based and solution-oriented medicine. It effectively merges scientific knowledge and methods with health experiences in order to arrive at accurate and verifiable results; using empirical research data or evidence. 

The adaptation of applied research to medicine is referred to as applied clinical research . Many health and medical practitioners use applied research to measure the extent to which the findings of basic or pure research can be adopted or modified into a solution-oriented approach.

Examples of applied research in health include:

• An investigation to identify the healing properties of a specific herb.
• An investigation to identify the side effects of using a particular drug.

APPLIED RESEARCH METHODS

Qualitative and quantitative data collection methods are used in applied research to gather empirical evidence that is further subjected to experimentation in order to arrive at valid research outcomes. The following are data collection methods in applied research:

An interview is a qualitative method of data collection that involves having a one-on-one interaction or discussion with the research subjects in order to gather relevant information that can serve as empirical data. It can be conducted with the use of an audio recorder, digital camera or camcorder.

Even though it is time-consuming and expensive, interviews allow the researcher to gather the most relevant data which gives him or her in-depth knowledge about the research subjects. An interview may be structured, semi-structured or unstructured; depending on the research purpose. 

• Surveys/Questionnaires

A questionnaire is an instrument that is typically used for quantitative data gathering . It outlines a series of questions relating to the research context and requires the research subjects to choose or provide responses that reflect their knowledge and experiences.

There are different types of questions that can be contained in a questionnaire including rating scale question s, close and open-ended questions and fixed alternatives. You can create and administer your applied research survey using data-collection platforms like Formplus . 

You can also start choosing from our over 200 online survey/questionnaire templates.

Here is a step-by-step guide on  how to create and administer questionnaires for applied research using Formplus

Sign in to Formplus

In the Formplus builder, you can easily create different questionnaires for applied research by dragging and dropping preferred fields into your form. To access the Formplus builder, you will need to create an account on Formplus. 

Once you do this, sign in to your account and click on “Create Form ” to begin.

Edit Form Title

Click on the field provided to input your form title, for example, “Applied Research Questionnaire”.

Click on the edit button to edit the form.

i. Add Fields: Drag and drop preferred form fields into your form in the Formplus builder inputs column. There are several field input options for questionnaires in the Formplus builder. 

ii. Edit fields

iii. Click on “Save”

iv. Preview form. 

Form Customization

With the form customization options in the form builder, you can easily improve on the appearance of your questionnaire and make it more unique and personalized. Formplus allows you to change your form theme, add background images and even change the font according to your needs. 

Multiple Sharing Options

Formplus also provides multiple form sharing options which enables you to easily share your questionnaire with respondents. With the direct social media sharing buttons, you can swiftly share your applied research questionnaire link to your organization’s social media pages. 

You can send out your questionnaire as email invitations to your research subjects too. Formplus also allows you to share your form’s QR code or embed it in your organization’s website for easy access. 

• Data Reporting

The process of gathering useful information about a research subject which can be used for further research. This can be done through not-for-profit reports, newspapers, website articles and hospital records.

It helps you  gather relevant data that results in more insightful decisions.  However, it is susceptible to bias because the information can easily be exaggerated by the individual or group collecting the data. 

• Observation

A type of data gathering method in applied research that requires the researcher to pay close attention to a subject (s) in order to gather useful information about it. Although bias may arise with this method, observation is widely considered as a universally accepted research practice.

Observation helps the researcher to gather empirical data and thus, it is the starting point for the formulation of a hypothesis. There are different techniques for observation including complete observer, complete participant, participant as observer and observer as participant. 

• Focus Groups

A focus group is a type of qualitative data collection process that allows the researcher to gather information about the disposition, feelings and opinions of the research subjects about a specific issue.

Here, the researcher engages a group comprising 6-10 individuals with a range of open-ended questions with the aim of gathering feedback about their emotional disposition to the issue at hand. This method is cost-effective compared to one-on-one interviews, and the information obtained is insightful and detailed. 

How is Applied Research Different from Basic Research?

Applied research and basic research are common methods of inquiry, based on purpose or utility. However, there are key differences between these 2 research approaches and these would be clearly outlined below: 

Applied research is a type of research that is aimed at the practical application of science in order to solve practical problems. On the other hand, basic research is a type of research that is aimed at expanding knowledge rather than solving problems. 

Basic research is theoretical in nature while applied research is practical and descriptive in nature. Basic research explores and generates theories that may be abstract while applied research tests these theories in order to solve a problem. 

Basic research is universal while applied research is limited. Basic research can focus on diverse or multiple contexts while applied research focuses on specific contexts with the aim of providing a solution to an identified problem. 

Applied research is focused on providing answers or solutions to a specific research question while basic research focuses on multiple concepts at the same time in its quest to expand knowledge. 

• Applied research pays attention to external validity while basic research is more focused on internal validity .

Characteristics of Applied Research 

• Applied research is solution-specific and it addresses practical problems. Unlike basic research that is aimed at theorizing and expanding knowledge, applied research focuses on addressing a particular problem using a range of science-based approaches.
• Applied research is descriptive in nature as it arrives at solutions by experimenting on empirical evidence and describing research outcomes.
• Usually, applied research tests theories arrived at by pure research in order to determine the usefulness of these theories in solving practical problems.
• It describes the relationship between research variables by measuring the characteristics of dependent and independent variables.
• Applied research relies on empirical evidence in order to arrive at valid research outcomes.
• It is not theoretical and it is not directly concerned with the expansion of knowledge.
• Applied research is synthetic in nature.
• It is aimed at the cost-effective reduction of social problems.
• Applied research is action-oriented.

Advantages of Applied Research

• Validity: Applied research is unbiased in nature because it tests empirical evidence in order to arrive at valid research outcomes. It employs carefully mapped-out procedures, and this makes it a more valid research approach.
• It is useful in solving specific problems. It helps individuals and organizations to find solutions to specific problems.

Disadvantages of Applied Research 

• It is not flexible in nature as it is restricted to a stipulated deadline.
• Applied research is limited in nature and it cannot be generalized. In other words, the findings from applied research cannot be generalized.

Conclusion 

Applied research is an important research approach because it helps organisations to arrive at practical solutions to specific problems while improving their productivity and output. Unlike basic research that focuses on generating theories that explain phenomena, applied research pays attention to describing empirical evidence with the aim of providing solutions. 

In carrying out applied research, the researcher combines a number of qualitative and quantitative data-gathering methods including questionnaires, observation methods, and interviews. This helps the researcher to gather empirical evidence that is then subjected to experimentation depending on the type of applied research and the overall focus. 

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Applied Research: Definition, Types & Examples

Every research project begins with a clear definition of the investigation’s purpose, which helps to identify the research procedure or approach used. In this sense, a researcher can conduct either basic or applied research.

This research focuses on answering specific questions to solve a specific problem. It tries to identify a solution to a cultural or organizational problem and is often a follow-up research plan for basic or pure research.

In this blog, we will explain the types of applied research and give some examples. But before that, we will go through what it is.

What is applied research?

Applied research is a non-systematic way of finding solutions to specific research problems or issues. These problems or issues can be on an individual, group, or societal level. It is called “non-systematic” because it goes straight to finding solutions.

It is often called a “scientific process” because it uses the available scientific tools and puts them to use to find answers.

Like in regular research, the researcher identifies the problem, makes a hypothesis, and then experiments to test it. It goes deeper into the findings of true or basic research.

LEARN ABOUT:   Research Process Steps

Types of applied research

This research has three types: 

• Evaluation research, 
• Research and Development, and 
• Action research. 

The short versions of each type are explained below:

• Evaluation research

Evaluation research is one type of applied research. It looks at the information on a research subject. This kind of research leads to objective research or helps people make better decisions sooner. Most of the time, evaluation research is used in business settings. 

The organization uses this research to figure out how the overhead costs can be cut down or cut down a lot.

• Research and development

Research and Development is the second type of applied research. Its main goal is to create or design new products, goods, or services that meet the needs of certain markets in society. It finds out what the needs of the market are. It focuses on finding new ways to improve products that already meet an organization’s needs.

• Action research

Action research is the third type of applied research. Action research is a way to learn about things that happen in everyday life and nature. Its goal is to find real-world solutions to business problems by pointing the business in the right direction.

LEARN ABOUT: Action Research

Examples of applied research

Applied study is used in many areas of study and research, from the sciences to the social sciences. We also talk about how it’s used in those fields and give some examples:

• Applied study in business

Applied study in business sectors is fully dependent on their products and services. It helps organizations understand market needs and trends, and then shape their products to fit customers.

Businesses benefit from This research because it allows them to detect gaps in their findings and obtain primary information on target market preferences.

• It can improve hiring.
• It improves work and policy.
• It identifies workplace skill gaps.
• Applied study in education

The applied study is used in the education field to test different ways of teaching and to find better ways of teaching and learning. Before implementing new education policies, they are tested to see how well they work, how they affect teaching, and how the classroom works.

Applied education research uses quantitative and qualitative methods to collect data from first-hand sources. This information is then looked at and interpreted differently to generate valuable results or conclusions.

LEARN ABOUT: Qualitative Interview

Most applied research in this field is done to develop and test different ways of doing things by trying them out in different situations. It is based on accurate observations and descriptions of the real world.

• Applied study to understand the reach of online learning initiatives.
• Applied study to promote teacher-student classroom engagement.
• Applied study on the new math program.
• Applied study in science

As already said, applied study is often called a scientific process because it uses the available scientific tools to find answers. It can be used in physics, microbiology, thermodynamics, and other fields.

• The applied study is put into practice to cure a disease.
• The applied study is put into practice to improve agricultural practices.
• The applied study is applied to testing new laboratory equipment.
• Applied study in psychology

Researchers use this research in psychology to figure out how people act at work, how HR works, and how the organization is growing and changing so they can come up with solutions.

It is used a lot in areas where researchers try to figure out how people think and then come up with solutions that fit their behavior best.

• Applied study to figure out new ways to deal with depression.
• Applied study to improve students’ grades by emphasizing practical Education.
• Applied study to create a plan to keep employees coming to work regularly.
• Applied study in health

This research is used to examine new drugs in the medical industry. It combines scientific knowledge and procedures with health experiences to produce evidence-based results.

• Applied study in heart surgery.
• Applied study to determine a drug’s efficacy.
• Applied study on a medicine’s adverse effects.

LEARN ABOUT: Theoretical Research

Applied research is an important way to research because it helps organizations find real-world solutions to specific problems while also increasing their output and productivity. In contrast to basic research, which focuses on making theories that explain things, applied research focuses on describing evidence to find solutions.

In the applied study, the researcher uses qualitative and quantitative methods to collect data, such as questionnaires, interviews, and observation methods. Conducting interviews is one of the examples of qualitative data in education . It helps the researcher collect real-world evidence, which is then tested depending on the type of applied research and the main focus.

At QuestionPro, we give researchers access to a library of long-term research insights and tools for collecting data, like our survey software. Go to InsightHub if you want to see a demo or learn more about it.

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Home » Applied Research – Types, Methods and Examples

Applied Research – Types, Methods and Examples

Table of Contents

Applied Research

Definition:

Applied research is a type of scientific inquiry that focuses on developing practical solutions to real-world problems. It involves the use of existing knowledge, theories, and techniques to address specific problems or challenges in a particular field or industry.

Applied research is often conducted in collaboration with industry or government partners, who provide funding and expertise to support the research. The results of applied research are typically intended to be directly applicable to the real world, and may involve the development of new products, technologies, or processes.

Types of Applied Research

Types of Applied Research are as follows:

Action Research

This type of research is designed to solve specific problems within an organization or community. The research involves collaboration between researchers and stakeholders to develop solutions to issues that affect the organization or community.

Evaluation Research

This type of research is used to assess the effectiveness of a particular program, policy, or intervention. Evaluation research is often used in government, healthcare, and social service settings to determine whether programs are meeting their intended goals.

Developmental Research

This type of research is used to develop new products, technologies, or processes. The research may involve the testing of prototypes or the development of new methods for production or delivery.

Diagnostic Research

This type of research is used to identify the causes of problems or issues. Diagnostic research is often used in healthcare, where researchers may investigate the causes of a particular disease or condition.

Policy Research

This type of research is used to inform policy decisions. Policy research may involve analyzing the impact of existing policies or evaluating the potential outcomes of proposed policies.

Predictive Research

This type of research is used to forecast future trends or events. Predictive research is often used in marketing, where researchers may use data analysis to predict consumer behavior or market trends.

Data Collection Methods

In applied research, data collection methods can be broadly classified into two categories: Quantitative and Qualitative methods:

Quantitative Data Collection

Quantitative research methods involve collecting numerical data that can be analyzed statistically. The most commonly used quantitative data collection methods in applied research include:

• Surveys : Surveys are questionnaires designed to collect data from a large sample of people. Surveys can be conducted face-to-face, over the phone, or online.
• Experiments : Experiments involve manipulating variables to test cause-and-effect relationships. Experiments can be conducted in the lab or in the field.
• Observations : Observations involve watching and recording behaviors or events in a systematic way. Observations can be conducted in the lab or in natural settings.
• Secondary data analysis: Secondary data analysis involves analyzing data that has already been collected by someone else. This can include data from government agencies, research institutes, or other sources.

Qualitative Data Collection

Qualitative research methods involve collecting non-numerical data that can be analyzed for themes and patterns. The most commonly used qualitative data collection methods in applied research include:

• Interviews : Interviews involve asking open-ended questions to individuals or groups. Interviews can be conducted in-person, over the phone, or online.
• Focus groups : Focus groups involve a group of people discussing a topic with a moderator. Focus groups can be conducted in-person or online.
• Case studies : Case studies involve in-depth analysis of a single individual, group, or organization.
• Document analysis : Document analysis involves analyzing written or recorded documents to extract data. This can include analyzing written records, audio recordings, or video recordings.

Data Analysis Methods

In applied research, data analysis methods can be broadly classified into two categories: Quantitative and Qualitative methods:

Quantitative Data Analysis

Quantitative data analysis methods involve analyzing numerical data to identify patterns and trends. The most commonly used quantitative data analysis methods in applied research include:

• Descriptive statistics: Descriptive statistics involve summarizing and presenting data using measures such as mean, median, mode, and standard deviation.
• Inferential statistics : Inferential statistics involve testing hypotheses and making predictions about a population based on a sample of data. This includes methods such as t-tests, ANOVA, regression analysis, and correlation analysis.
• Data mining: Data mining involves analyzing large datasets to identify patterns and relationships using machine learning algorithms.

Qualitative Data Analysis

Qualitative data analysis methods involve analyzing non-numerical data to identify themes and patterns. The most commonly used qualitative data analysis methods in applied research include:

• Content analysis: Content analysis involves analyzing written or recorded data to identify themes and patterns. This includes methods such as thematic analysis, discourse analysis, and narrative analysis.
• Grounded theory: Grounded theory involves developing theories and hypotheses based on the analysis of data.
• Interpretative phenomenological analysis: Interpretative phenomenological analysis involves analyzing data to identify the subjective experiences of individuals.
• Case study analysis: Case study analysis involves analyzing a single individual, group, or organization in-depth to identify patterns and themes.

Applied Research Methodology

Applied research methodology refers to the set of procedures, tools, and techniques used to design, conduct, and analyze research studies aimed at solving practical problems in real-world settings. The general steps involved in applied research methodology include:

• Identifying the research problem: The first step in applied research is to identify the problem to be studied. This involves conducting a literature review to identify existing knowledge and gaps in the literature, and to determine the research question.
• Developing a research design : Once the research question has been identified, the next step is to develop a research design. This involves determining the appropriate research method (quantitative, qualitative, or mixed methods), selecting the data collection methods, and designing the sampling strategy.
• Collecting data: The third step in applied research is to collect data using the selected data collection methods. This can include surveys, interviews, experiments, observations, or a combination of methods.
• Analyzing data : Once the data has been collected, it needs to be analyzed using appropriate data analysis methods. This can include descriptive statistics, inferential statistics, content analysis, or other methods, depending on the type of data collected.
• Interpreting and reporting findings : The final step in applied research is to interpret the findings and report the results. This involves drawing conclusions from the data analysis and presenting the findings in a clear and concise manner.

Applications of Applied Research

Some applications of applied research are as follows:

• Product development: Applied research can help companies develop new products or improve existing ones. For example, a company might conduct research to develop a new type of battery that lasts longer or a new type of software that is more efficient.
• Medical research : Applied research can be used to develop new treatments or drugs for diseases. For example, a pharmaceutical company might conduct research to develop a new cancer treatment.
• Environmental research : Applied research can be used to study and address environmental problems such as pollution and climate change. For example, research might be conducted to develop new technologies for reducing greenhouse gas emissions.
• Agriculture : Applied research can be used to improve crop yields, develop new varieties of plants, and study the impact of pests and diseases on crops.
• Education : Applied research can be used to study the effectiveness of teaching methods or to develop new teaching strategies.
• Transportation : Applied research can be used to develop new technologies for transportation, such as electric cars or high-speed trains.
• Communication : Applied research can be used to improve communication technologies, such as developing new methods for wireless communication or improving the quality of video calls.

Examples of Applied Research

Here are some real-time examples of applied research:

• COVID-19 Vaccine Development: The development of COVID-19 vaccines is a prime example of applied research. Researchers applied their knowledge of virology and immunology to develop vaccines that could prevent or reduce the severity of COVID-19.
• Autonomous Vehicles : The development of autonomous vehicles involves applied research in areas such as artificial intelligence, computer vision, and robotics. Companies like Tesla, Waymo, and Uber are conducting extensive research to improve their autonomous vehicle technology.
• Renewable Energy : Research is being conducted on renewable energy sources like solar, wind, and hydro power to improve efficiency and reduce costs. This is an example of applied research that aims to solve environmental problems.
• Precision Agriculture : Applied research is being conducted in the field of precision agriculture, which involves using technology to optimize crop yields and reduce waste. This includes research on crop sensors, drones, and data analysis.
• Telemedicine : Telemedicine involves using technology to deliver healthcare remotely. Applied research is being conducted to improve the quality of telemedicine services, such as developing new technologies for remote diagnosis and treatment.
• Cybersecurity : Applied research is being conducted to improve cybersecurity measures and protect against cyber threats. This includes research on encryption, network security, and data protection.

Purpose of Applied Research

The purpose of applied research is to solve practical problems or improve existing products, technologies, or processes. Applied research is focused on specific goals and objectives and is designed to have direct practical applications in the real world. It seeks to address problems and challenges faced by individuals, organizations, or communities and aims to provide solutions that can be implemented in a practical manner.

The primary purpose of applied research is to generate new knowledge that can be used to solve real-world problems or improve the efficiency and effectiveness of existing products, technologies, or processes. Applied research is often conducted in collaboration with industry, government, or non-profit organizations to address practical problems and create innovative solutions.

Applied research is also used to inform policy decisions by providing evidence-based insights into the effectiveness of specific interventions or programs. By conducting research on the impact of policies and programs, decision-makers can make informed decisions about how to allocate resources and prioritize interventions.

Overall, the purpose of applied research is to improve people’s lives by developing practical solutions to real-world problems. It aims to bridge the gap between theory and practice, and to ensure that research findings are put into action to achieve tangible benefits.

When to use Applied Research

Here are some specific situations when applied research may be appropriate:

• When there is a need to develop a new product : Applied research can be used to develop new products that meet the needs of consumers. For example, a company may conduct research to develop a new type of smartphone with improved features.
• When there is a need to improve an existing product : Applied research can also be used to improve existing products. For example, a company may conduct research to improve the battery life of an existing product.
• When there is a need to solve a practical problem: Applied research can be used to solve practical problems faced by individuals, organizations, or communities. For example, research may be conducted to find solutions to problems related to healthcare, transportation, or environmental issues.
• When there is a need to inform policy decisions: Applied research can be used to inform policy decisions by providing evidence-based insights into the effectiveness of specific interventions or programs.
• When there is a need to improve efficiency and effectiveness: Applied research can be used to improve the efficiency and effectiveness of processes or systems. For example, research may be conducted to identify ways to streamline manufacturing processes or to improve the delivery of healthcare services.

Characteristics of Applied Research

The following are some of the characteristics of applied research:

• Focus on solving real-world problems : Applied research focuses on addressing specific problems or needs in a practical setting, with the aim of developing solutions that can be implemented in the real world.
• Goal-oriented: A pplied research is goal-oriented, with a specific aim of solving a particular problem or meeting a specific need. The research is usually designed to achieve a specific outcome, such as developing a new product, improving an existing process, or solving a particular issue.
• Practical and relevant: Applied research is practical and relevant to the needs of the industry or field in which it is conducted. It aims to provide practical solutions that can be implemented to improve processes or solve problems.
• Collaborative : Applied research often involves collaboration between researchers and practitioners, such as engineers, scientists, and business professionals. Collaboration allows for the exchange of knowledge and expertise, which can lead to more effective solutions.
• Data-driven: Applied research is data-driven, relying on empirical evidence to support its findings and recommendations. Data collection and analysis are important components of applied research, as they help to identify patterns and trends that can inform decision-making.
• Results-oriented: Applied research is results-oriented, with an emphasis on achieving measurable outcomes. Research findings are often used to inform decisions about product development, process improvement, or policy changes.
• Time-bound : Applied research is often conducted within a specific timeframe, with deadlines for achieving specific outcomes. This helps to ensure that the research stays focused on its goals and that the results are timely and relevant to the needs of the industry or field.

Advantages of Applied Research

Some of the advantages of applied research are as follows:

• Practical solutions: Applied research is focused on developing practical solutions to real-world problems, making it highly relevant to the needs of the industry or field in which it is conducted. The solutions developed through applied research are often highly effective and can be implemented quickly to address specific issues.
• Improved processes: Applied research can help organizations to improve their processes, leading to increased efficiency and productivity. The research can identify areas for improvement, such as bottlenecks or inefficiencies, and provide recommendations for optimizing processes.
• Innovation: Applied research can lead to the development of new products, services, and technologies that can transform industries and create new opportunities for growth and innovation. The research can help organizations to identify unmet needs and develop new solutions to meet them.
• Collaboration : Applied research often involves collaboration between researchers and practitioners, leading to the exchange of knowledge and expertise. Collaboration can result in more effective solutions and can help to build partnerships between academia and industry.
• Increased competitiveness : Applied research can help organizations to stay competitive by enabling them to adapt to changing market conditions and customer needs. The research can provide insights into emerging trends and technologies, helping organizations to stay ahead of the curve.
• Economic growth: Applied research can contribute to economic growth by creating new industries and jobs. The research can lead to the development of new technologies and products that can drive economic growth and create new opportunities for entrepreneurship and innovation.

Limitations of Applied Research

Some of the limitations of applied research are as follows:

• Limited generalizability: Applied research often focuses on specific contexts and may not be generalizable to other settings. This means that the findings of applied research may not be applicable to other industries, regions, or populations.
• Time and resource constraints: Applied research is often conducted within a specific timeframe and with limited resources. This can limit the scope and depth of the research and may prevent researchers from exploring all possible avenues.
• Potential for bias: Applied research may be influenced by the interests and perspectives of the organization or industry funding the research. This can lead to a bias in the research and potentially compromise the objectivity and validity of the findings.
• Ethical considerations: Applied research may raise ethical concerns, particularly if it involves human subjects or sensitive issues. Researchers must adhere to ethical standards and ensure that the research is conducted in a responsible and respectful manner.
• Limited theoretical development: Applied research tends to focus on practical solutions and may not contribute significantly to theoretical development in a particular field. This can limit the broader impact of the research and may hinder the development of new theories and frameworks.
• Limited focus on long-term impact: Applied research often focuses on short-term outcomes, such as developing a new product or improving a process. This may limit the focus on long-term impacts, such as the sustainability of the solution or its broader implications for the industry or society.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Survey Research – Types, Methods, Examples

Applied Research

Applied research “aims at finding a solution for an immediate problem facing a society, or an industrial/business organisation, whereas fundamental research is mainly concerned with generalisations and with the formulation of a theory” [1] . Applied research is considered to be non-systematic inquiry and it is usually launched by a company, agency or an individual in order to address a specific problem. [2]

   Applied research can be divided into the following three categories:

1. Evaluation research . This type of research focuses on analysing existing information about the phenomenon in order to generate objective research outcomes. A study into the ways of reducing supply-chain costs can be mentioned as an example for an evaluation research.

2. Research and Development . It is a type of applied research that focuses on the development of new products and services to satisfy needs and wants of target customer segment. This type of applied research is the least relevant to a business dissertation.

3. Action research . This type of study aims to tackle specific business problems. For example, a research into the ways of restoring Starbucks brand image in UK after the tax scandal can be classified as an action research.

Differences between Applied Research and Fundamental (Basic) Research

The difference between applied and  fundamental or basic research  is straightforward – findings of applied research can be applied to resolve problems, whereas fundamental studies are used simply to explore certain issues and elements. Applied research can be a follow-up to the findings of a fundamental research.

Moreover, differences between applied and basic research can be summarized into three points:

1. Differences in purpose . Purpose of applied studies is closely associated with the solution of specific problems, while the purpose of fundamental studies relate to creation of new knowledge or expansion of the current knowledge without any concerns to applicability.

2. Differences in context . In applied studies, research objectives are set by clients or sponsors as a solution to specific problems they are facing. Fundamental studies, on the other hand, are usually self-initiated in order to expand the levels of knowledge in certain areas.

3. Differences in methods .  Research validity is an important point to be addressed in all types of studies. Nevertheless, applied studies are usually more concerned with external validity, whereas internal validity can be specified as the main point of concern for fundamental researchers.

Examples of Applied Research

The following are examples for applied research. You can notice that each of these studies aim to resolve a specific and an immediate problem.

• A study into marketing strategies to appeal to the aspirations of millenials in China
• An investigation into the ways of improving employee motivation in Marriot Hotel, Hyde Park
• Development of strategies to introduce change in Starbucks global supply-chain management with the view on cost reduction
• A study into the ways of fostering creative deviance amongst employees without compromising respect for authority.

Advantages and Disadvantages of Applied Research

The advantages and disadvantages of applied and fundamental research mirror and contrast each other. On the positive side, applied research can be helpful in solving specific problems in business and other settings.

On the negative side, findings of applied research cannot be usually generalized. In other words, applicability of the new knowledge generated as a result of this type of research is limited to the research problem. Moreover, applied studies usually have tight deadlines which are not flexible.

You need to specify the type of your research in the earlier part of the research methodology chapter in about one short paragraph. Also, in this paragraph you will have to justify your choice of research type.

My e-book,  The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step assistance   contains discussions of research types and application of research methods in practice. The e-book also explains all stages of the  research process  starting from the  selection of the research area  to writing personal reflection. Important elements of dissertations such as  research philosophy ,  research approach ,  research design ,  methods of data collection  and  data analysis , sampling and others are explained in this e-book in simple words.

John Dudovskiy

[1] Kothari, C.R. (2008) “Research Methodology: Methods and Techniques” New Age International

[2] Bajpai, N. (2011) “Business Research Methods” Pearson Education India

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President Biden’s Investing in America Agenda Provides the Single Largest Industrial Decarbonization Investment in the Nation’s History, Driving $20+ Billion in Total Investment to Revitalize Manufacturing Communities and Create and Maintain Good-Paying Jobs 

WASHINGTON, D.C. — As part of President Biden’s Investing in America agenda , the U.S. Department of Energy (DOE) today announced up to $6 billion for 33 projects across more than 20 states to decarbonize energy-intensive industries, reduce industrial greenhouse gas emissions, support good-paying union jobs, revitalize industrial communities, and strengthen the nation’s manufacturing competitiveness. Funded by the President’s Bipartisan Infrastructure Law and Inflation Reduction Act, the projects will create and maintain tens of thousands of high-quality jobs and help accelerate the commercial-scale demonstration of emerging industrial decarbonization technologies crucial to meeting the Biden-Harris administration's climate and domestic manufacturing goals.  

The projects will focus on the highest emitting industries where decarbonization technologies will have the greatest impact, including aluminum and other metals, cement and concrete, chemicals and refining, iron and steel, and more. Together, the projects are expected to reduce the equivalent of more than 14 million metric tons of carbon dioxide (CO2) emissions each year—an amount equivalent to the annual emissions of 3 million gasoline-powered cars. Many of the projects will deploy first-in-the-nation emissions-reducing technologies that have the potential for sector-wide adoption and transformation, multiplying the magnitude of the emissions cuts and supporting the future of U.S. manufacturing. Today’s announcement is the largest investment in industrial decarbonization in American history, helping to position American manufacturers and workers to lead the global clean energy economy.  

“Spurring on the next generation of decarbonization technologies in key industries like steel, paper, concrete, and glass will keep America the most competitive nation on Earth,” said U.S. Secretary of Energy Jennifer M. Granholm. “Thanks to President Biden’s industrial strategy, DOE is making the largest investment in industrial decarbonization in the history of the United States. These investments will slash emissions from these difficult-to-decarbonize sectors and ensure American businesses and American workers remain at the forefront of the global economy.” 

This transformative federal investment will help strengthen local economies and create and maintain tens of thousands of good-paying, high-quality jobs—particularly those that support worker organizing and collective bargaining. As part of President Biden’s efforts to build an equitable and inclusive clean energy future, each project is also expected to develop and ultimately implement a comprehensive Community Benefits Plan that ensures meaningful community and labor engagement. Nearly 80% of the projects are located in a disadvantaged community, as defined by President Biden’s Justice40 Initiative , offering a significant opportunity to invest in good jobs and clean air in communities that have experienced years of divestment. 

The industrial sector contributes nearly one-third of the nation’s overall greenhouse gas emissions. This transformative federal investment is matched by the selected projects to leverage more than $20 billion in total to demonstrate commercial-scale decarbonization solutions needed to move the industrial sector toward net-zero emissions. Funded projects will cut carbon emissions by an average of 77%. The industrial sector’s unique and complex decarbonization challenges require equally unique and innovative decarbonization solutions that leverage multiple pathways including energy efficiency, electrification, and alternative fuels and feedstocks such as clean hydrogen. The projects announced today are part of the Industrial Demonstrations Program , managed by DOE’s Office of Clean Energy Demonstrations (OCED), and will help strengthen America’s manufacturing and industrial competitiveness. Funding for these projects includes $489 million from the Bipartisan Infrastructure Law and $5.47 billion from the Inflation Reduction Act. 

Decarbonizing Energy- and Emissions-Intensive Industries

The 33 projects selected for award negotiations represent difficult-to-decarbonize industries, including seven chemicals and refining projects, six cement and concrete projects, six iron and steel projects, five aluminum and metals projects, three food and beverage projects, three glass projects, two process heat-focused projects, and one pulp and paper project.  

An overview of selected projects broken down by industry include:  

• Chemicals and Refining : The seven selected chemicals and refining projects demonstrate how one of the world’s largest industries can turn its carbon intensity from a liability into an advantage, increase circularity, and onshore critical supply chains for clean fuels and key electric vehicle components. These projects plan to demonstrate opportunities to upcycle captured carbon to value-added products, create high-quality fuels and materials from recycled products, and replace fossil-fired, high-heat processes with decarbonized fuels. Together, the seven projects would create products like clean fuels for the marine sector, electrolytes for electric vehicle batteries, and high-quality plastics.  
• Cement and Concrete : The six selected cement and concrete projects plan to demonstrate a comprehensive set of technologies capable of eliminating all CO2 emissions from today’s plants while setting the stage for a future where cement—one of the single largest sources of CO2 emissions globally—can be net-negative. These game-changing projects will revolutionize a sector that has relied on emissions-intensive processes for millennia. From capturing and sequestering the emissions from one of the largest cement plants in the U.S. to pioneering chemistry changes to mitigate emissions at their source, DOE’s investments can fundamentally transform cement—the world’s most abundant man-made material and a building block of our world’s infrastructure. Together, the projects will develop new pathways for making traditional Portland cement with lower or zero emissions and to pioneer new materials and new mixtures that can drive the sector to zero emissions.  
• Iron and Steel : The six selected iron and steel projects plan to demonstrate emerging technologies, including some of the world’s first clean hydrogen-fueled direct reduced ironmaking facilities, which can eliminate the vast majority of steelmaking emissions. The projects will help decarbonize iron and steelmaking and enable the industry to phase out more traditional carbon-intensive production methods that rely on coal. This investment is expected to help create products like high grades of steel for the automotive industry, while solidifying the nation’s position as the global leader in low-carbon iron and steel products.  
• Aluminum and Metals : The five selected aluminum and metals projects include a major capital injection to decarbonize and revitalize the U.S. primary aluminum industry along with world-leading recycling approaches for both aluminum and copper. After decades of decline, these investments lay the groundwork for a potential rebound of this critical sector. These investments aim to improve U.S. industry’s competitiveness and efficiency while simultaneously decarbonizing and onshoring supply chains for materials critical for defense and energy sectors. In addition to the high-purity aluminum needed for the defense and energy sectors, the selections include projects that would create recycled aluminum for the food and beverage industry and copper for semiconductors and electric vehicles.  
• Food and Beverage : The three selected food and beverage projects will demonstrate highly replicable energy efficiency and electrification solutions for low- to medium-temperature process heat across 16 locations. These projects can increase consumer awareness around embodied emissions by decarbonizing products that Americans consume every day like ice cream, ketchup, and BBQ sauce.  
• Glass : The three selected glass projects plan to validate electric/fuel hybrid furnaces producing low-emission glass bottles, tableware, and food packaging. This suite of projects will help decarbonize high-temperature heat and set a roadmap for other heat-intensive industrial processes.  
• Process Heat : These two projects plan to validate the use of electric boilers and electric steam production to reduce emissions associated with process heating across a wide range of industries. By demonstrating applicability across sectors, these projects will chart a path for addressing one of the biggest challenges in the industrial sector—heat-related emissions. 
• Pulp and Paper : The one selected pulp and paper project aims to improve energy efficiency by using a novel membrane for an important separations process instead of heat. This technology is highly replicable for many applications, including chemicals and critical materials.  

Learn more about the 33 projects selected for award negotiations . 

Laying the Foundation of an Inclusive Clean Energy Future 

The Biden-Harris administration is dedicated to working in partnership with communities and industries to build an equitable clean energy economy that benefits every American. As part of the Administration’s commitments to invest in America’s workforce, support high-quality American jobs, advance environmental and energy justice, and strengthen tribal energy sovereignty, each project was required to develop and ultimately implement a comprehensive community benefits plan —which will be informed by early and meaningful community and labor engagements in each region. Applicants were required to describe how their proposals would provide the greatest benefit to the greatest number of people in a facility’s location, recognizing the opportunity this funding provides to address pollution for those disproportionately affected by industrial sector emissions and begin remediating existing social, economic, and health burdens.  

To kickstart ongoing engagement around these projects, OCED will hold a series of national and regional virtual briefings to provide information on the selected projects, introduce OCED’s approach to clean energy demonstrations, and provide opportunities for industry and communities to engage further on specific projects of interest. Learn about IDP engagement opportunities and register to attend .  

Selection for award negotiations is not a commitment by DOE to issue an award or provide funding. Before funding is issued, DOE and the selected applicants will undergo a negotiation process, and DOE may cancel negotiations and rescind the selection for any reason during that time. Lead applicants also may change during the award negotiations process. If awarded, OCED will evaluate these projects through a phased approach to project management that includes “go/no-go” decision points between each project phase where DOE reviews and evaluates implementation progress, including community benefits. 

Learn more about how OCED , the Department’s Pathway to Industrial Decarbonization Commercial Liftoff , the Department’s Industrial Decarbonization Roadmap , and the Industrial Technologies Joint Strategy support the research, development, demonstration, and deployment of technologies that will help the U.S. industrial sector reach President Biden’s ambitious goal of a net-zero emissions economy by 2050. 

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Research Roundup: How the Pandemic Changed Management

• Mark C. Bolino,
• Jacob M. Whitney,
• Sarah E. Henry

Lessons from 69 articles published in top management and applied psychology journals.

Researchers recently reviewed 69 articles focused on the management implications of the Covid-19 pandemic that were published between March 2020 and July 2023 in top journals in management and applied psychology. The review highlights the numerous ways in which employees, teams, leaders, organizations, and societies were impacted and offers lessons for managing through future pandemics or other events of mass disruption.

The recent pandemic disrupted life as we know it, including for employees and organizations around the world. To understand such changes, we recently reviewed 69 articles focused on the management implications of the Covid-19 pandemic. These papers were published between March 2020 and July 2023 in top journals in management and applied psychology.

• Mark C. Bolino is the David L. Boren Professor and the Michael F. Price Chair in International Business at the University of Oklahoma’s Price College of Business. His research focuses on understanding how an organization can inspire its employees to go the extra mile without compromising their personal well-being.
• JW Jacob M. Whitney is a doctoral candidate in management at the University of Oklahoma’s Price College of Business and an incoming assistant professor at Kennesaw State University. His research interests include leadership, teams, and organizational citizenship behavior.
• SH Sarah E. Henry is a doctoral candidate in management at the University of Oklahoma’s Price College of Business and an incoming assistant professor at the University of South Florida. Her research interests include organizational citizenship behaviors, workplace interpersonal dynamics, and international management.

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• uno presents the 2024 dr. ivan miestchovich economic outlook & real

CAMPUS NEWS: MARCH 27, 2024

Real estate seminar, uno presents the 2024 dr. ivan miestchovich economic outlook & real estate forecast seminar on april 9.

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The 33rd annual Dr. Ivan Miestchovich Economic Outlook & Real Estate Forecast Seminar for New Orleans will be held April 9 at the University of New Orleans.

The University of New Orleans Institute for Economic Development & Real Estate Research will host the 33rd annual Dr. Ivan Miestchovich Economic Outlook & Real Estate Forecast Seminar for metropolitan New Orleans on Tuesday, April 9 from 9 a.m.-1 p.m. in the Sen. Ted Hickey Ballroom, located in the University Center of the University of New Orleans.

Seminar moderator Robert Penick, director of the UNO Institute for Economic Development & Real Estate Research, will provide opening remarks at 9 a.m.

At 9:10 a.m., Ali Bustamante, director of the UNO Division of Business and Economic Research, will moderate a discussion about the New Orleans metro economy with Louis David, president and CEO of the New Orleans Business Alliance, and Jerry Bologna, president and CEO of JEDCO.

At 9:50 a.m., Yvette Green, associate professor and chair of the Kabacoff School of Hotel, Restaurant and Tourism Administration, will lead a conversation about hospitality and tourism with Tom Leonard, president and CEO of HRI Hospitality; Beau Box, president and CEO of Beau Box Real Estate; and Octavio Mantilla, co-owner of BRG Hospitality.

At 10:30 a.m., Ron Henderson, deputy commissioner for consumer advocacy, will deliver remarks on behalf of the Louisiana Department of Insurance.

At 11:20 a.m., moderator Dan Mills, CEO of the Homebuilders Association of Greater New Orleans, will lead a discussion about the residential real estate market with Larry Schedler, president of Larry Schedler & Associates, Inc.; Craig Mirambell, CEO of Mirambell Realty; and Annie Clark, chief programs officer of Finance New Orleans. They will address multi-family properties, single family properties and affordable housing.

At 12:05 p.m., Michael Valleskey, associate research director of CBRE, Inc. will provide a national and regional overview of the commercial real estate market.

The event will conclude at 12:25 p.m. with a discussion about the metropolitan New Orleans real estate market moderated by Patrick Beard, corporate services advisor for NAI/Latter & Blum. Panelists include Jackie Dadakis, CEO of Green Coast Enterprises; Jeffrey Lahasky, president of the Lahasky Investment Group; and Andrew Marcus, real estate development and leasing with PMG Leasing.

All attendees are encouraged to pre-register by Tuesday, April 2. General admission is $50. Attendee check-in and networking begin at 8:30 a.m. Louisiana Real Estate Commission and Louisiana Appraisal Board continuing education hours (4) have been applied for.

UNO faculty, staff and students may attend for free, but must pre-register as well. Please visit realestate.uno.edu for more details and registration information.

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AI Engineer | Applied Research & Partnerships Intern (Summer 2024)

Job Posting for AI Engineer | Applied Research & Partnerships Intern (Summer 2024) at Logistics Management Institute

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

*This position is currently full-time telework with the ability to periodically work out of our Tysons, VA HQ*

LMI has been named a 2024 Campus Foward Award Winner! This Award recognizes excellence in early career hiring, celebrating the teams that embrace innovative recruiting strategies, care deeply about the candidate experience, are making significant investments in DEIA, and are supporting the next generation of talent through impactful internships and entry-level programs.

Responsibilities

• Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes
• Develop and implement digital and analytic approaches
• Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications
• Research algorithms in machine learning to identify viable approaches to meet business requirements
• Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning
• Design solution prototypes that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)
• Become familiar with DevSecOps principles to continuously deliver high-quality software
• Work with Docker to develop and deploy containerized versions of models
• Participate in design and code reviews, and collaborate with a strong, passionate engineering team
• Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users
• Interface with customer stakeholders to provide technical explanations and support

Qualifications

Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.

• Currently enrolled in a Graduate (Masters) program highly preferred
• Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline
• Must be able to work for a minimum of 10-12 weeks beginning in Summer 2024 (May/June)
• Comfortable working with agile teams, developing prototypes and functionality in short development sprints
• Ability to work independently and collaborate effectively with a project team in an agile research and development environment
• Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket
• Ability to think critically to propose tractable solutions to complex problems
• Effective written and verbal communication skills
• Ability to communicate complex concepts to both technical and business-focused audiences
• Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C , C#, JavaScript and R demonstrate the necessary ability
• Familiarity with the underlying mathematics of machine learning
• Knowledge of data structures and data management principles, methods, and tools
• Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML
• Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code
• Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2 ), React, and Ember, and server frameworks, such as Node.js and Express.js
• Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud
• Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)

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