Pragmatism Research Philosophy

Pragmatism research philosophy is a philosophical approach that focuses on practical solutions and real-world outcomes. It allows researchers to use both qualitative and quantitative methods depending on what best addresses the research question.

On this page:

  • What is Pragmatism Research Philosophy?
  • Core Principles of Pragmatism
  • Pragmatism vs Positivism vs Interpretivism
  • Research Methods in Pragmatism
  • Advantages and Limitations
  • Pragmatism in the Age of AI
  • When to Use Pragmatism Research Philosophy

 

Philosophy Research Approach View of Reality Role of Values Typical Methods
Positivism Deductive Objective Value-free Quantitative
Interpretivism Inductive Subjective Value-laden Qualitative
Pragmatism Deductive and/or inductive Objective and subjective Practical and flexible Mixed methods

Research phisolophies at a glance

 

What is Pragmatism Research Philosophy?

Pragmatism research philosophy is a research approach that focuses on practical outcomes and problem-solving, allowing researchers to combine qualitative and quantitative methods based on what works best for the research question.

Pragmatism research philosophy accepts concepts to be relevant only if they support action. Pragmatics “recognise that there are many different ways of interpreting the world and undertaking research, that no single point of view can ever give the entire picture and that there may be multiple realities”[1]

Pragmatism is a philosophical approach that emphasizes the practical consequences of ideas. In the context of research, it suggests that the best research methods are those that are most useful and effective in solving particular research problems. Pragmatic researchers are flexible and open to using a variety of methods, both quantitative and qualitative, depending on the specifics of the research question.

Pragmatism focuses on what works best to answer the research question. Pragmatists ask:
“Which method will best solve this research problem?”

 

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Core Principles of Pragmatism

The following are core tenets of pragmatism research philosophy:

1. Practicality. Pragmatism emphasizes the practical consequences of ideas and actions. In research, this means that pragmatic researchers are concerned with conducting research that is useful and can be applied to solve real-world problems.

2. Flexibility. It is a flexible approach to research that does not adhere to a single set of methods. Pragmatic researchers are willing to use a variety of methods, both quantitative and qualitative, depending on the specifics of the research question.

3. Context. It also emphasizes the importance of context in research. This means that pragmatic researchers consider the specific circumstances of the research problem when choosing methods and interpreting results.

4. Process. Pragmatism views research as an ongoing process of inquiry. This means that pragmatic researchers are open to modifying their research methods and interpretations as they gather more data and insights.

 

Pragmatism vs Positivism vs Interpretivism

Positivism and interpretivism are two extreme mutually exclusive paradigms about the nature and sources of knowledge. Many dissertation topics fall broadly within one of these two main paradigms. At the same time, there is an occasional need for seasoned researchers to “modify their philosophical assumptions over time and move to a new position on the continuum”.[2] The modified philosophical assumptions are adapted by pragmatic researchers, who usually happen to be experienced researchers.

According to pragmatism research philosophy, research question is the most important determinant of the research philosophy. Pragmatics can combine both, positivist and interpretivism positions within the scope of a single research according to the nature of the research question.

As it is illustrated in the table below, unlike positivism and interpretivism research philosophies, pragmatism research philosophy can integrate more than one research approaches and research strategies within the same study. Moreover, studies with pragmatism research philosophy can integrate the use of multiple research methods such as qualitative, quantitative and action research methods.

Research approach Ontology Axiology Research strategy
Positivism Deductive Objective Value-free Quantitative
Interpretivism Inductive Subjective Biased Qualitative
Pragmatism Deductive/Inductive Objective or subjective Value-free/biased Qualitative and/or quantitative

Positivism, interpretivism and epistemologies[3]

 

Research Methods in Pragmatism

Pragmatist management researchers can be compared to architects. In the same way architects use whatever materials and methods needed to build the building they schemed in paper, pragmatists use whatever combination of methods necessary to find answers to research questions. At the same time, it has to be noted that pragmatists do not have to use multiple methods; rather they use method or combination of methods that advances a specific research in the best possible manner.

Pragmatic studies commonly use:

  • Quantitative methods (e.g. surveys, statistical analysis)
  • Qualitative methods (e.g. interviews, observation)
  • Mixed methods designs
  • Action research approaches

 

Advantages and Limitations

Pragmatism research philosophy offers the following advantages:

  • High level of flexibility
  • Suitable for complex real-world problems
  • Supports mixed methods research
  • Focuses on practical outcomes and usefulness

At the same time, this philosophy can be associated with the following limitations:

  • Can lack clear philosophical consistency
  • Risk of methodological complexity
  • Combining methods may require additional time and expertise
  • Sometimes criticised for prioritising practicality over theoretical depth

 

Pragmatism in the Age of AI

Pragmatism has become increasingly relevant in the age of AI, big data, and digital transformation because modern business problems rarely fit neatly within a single methodological approach.

Contemporary organisations generate large volumes of quantitative data from customer analytics, social media activity, website traffic, financial performance indicators, and AI-driven behavioural tracking systems. At the same time, understanding business phenomena often requires qualitative insights into customer perceptions, employee experiences, organisational culture, managerial decision-making, and ethical concerns related to AI and automation.

As a result, many modern business studies combine quantitative analysis with qualitative interpretation in order to develop a more comprehensive understanding of complex issues.

For example, a study examining the impact of artificial intelligence on employee productivity may combine quantitative performance data with qualitative interviews exploring employee perceptions and concerns. This reflects the pragmatic principle that research methods should be selected based on their usefulness in addressing the research problem, rather than strict adherence to a single philosophical position.

Pragmatism is therefore particularly suitable for mixed methods research, interdisciplinary studies, digital transformation research, AI-related business studies, and research focused on practical managerial outcomes.

 

When to Use Pragmatism Research Philosophy

Pragmatism is most suitable when your topic requires flexibility and practical problem-solving.

You should use pragmatism if:

  • Your study requires both qualitative and quantitative data
  • The research problem is complex and multi-dimensional
  • Practical outcomes are important
  • Flexibility in research design is required
  • You are conducting mixed methods research

In simple terms:
Use pragmatism when you want to use whatever methods work best to answer your research question.

 

Still unsure whether pragmatism is the right choice for your research?

Get a clear, justified methodology for your research topic in minutes

See how it works

 

My e-book, How to Write a Dissertation: A Step-by-Step System to Plan, Write and Defend Your Dissertation in the age of AI contains discussions of theory and application of research philosophy. 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 philosophyresearch approachresearch designmethods of data collection and data analysis are explained in this e-book in simple words.

How to Write a Dissertation: A Step-by-Step System to Plan, Write and Defend Your Dissertation in the age of AI

Download the e-book and start making progress today

 

Preparing to Defend Your Methodology?

Understanding research design is one thing. Defending it under examination is another.

If you would like structured guidance on how to justify your methodological choices, respond to challenging viva questions, address limitations confidently, and navigate academic integrity in the AI era, you may find the following resource helpful:

The Dissertation Methodology Defense Manual in the AI Era: Examiner-Proof Justification & Academic Integrity Framework

The manual provides a structured system for aligning your research design, strengthening your justifications, and preparing for defense scenarios with clarity and confidence.

The Dissertation Methodology Defense Manual in the AI Era

Download the manual and prepare to defend your methodology with confidence

John Dudovskiy

[1] Saunders, M., Lewis, P. & Thornhill, A. (2012) “Research Methods for Business Students” 6th edition, Pearson Education Limited

[2] Collis, J. & Hussey, R. (2014) “Business Research: A Practical Guide for Undergraduate and Postgraduate Students” 4th edition, Palgrave Macmillan, p.54

[3] Source: Wilson, J. (2010) “Essentials of Business Research: A Guide to Doing Your Research Project” SAGE Publications

John Dudovskiy

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