Research Methods in a Nutshell: What, Why, When, Where, Who, and How?

ABSTRACT Over the years, it has been observed that discussions on research methods in academic writing often oscillate between two extremes: either abstract philosophical debates or purely technical instructions. Many early career researchers—and sometimes even experienced scholars—struggle with the simple question: Which method should be used? The answer, however, is rarely straightforward. It depends not only on the convenience or the disciplinary habit of a researcher but also on the nature of the research question, the timing of the inquiry, the context in which it is situated, the units of analysis involved, and the resources available for its execution. Textbooks have contributed richly to our understanding, yet they frequently overwhelm rather than provide clarity. In this context, we provide a comparative overview of important research methods using the 5WH framework (What, Why, When, Where, Who, and How), based on years of experience as an Editor. We provide a synthesis of regression‐based methods, experimental methods, multivariate methods, qualitative methods, mixed methods, configurational and comparative methods (QCA family), big data and computational methods, AI‐driven methods and techniques, and finally, literature review methods.

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Publication Details

Journal
International Journal of Consumer Studies
Published
2025-10-18
DOI
https://doi.org/10.1111/ijcs.70134
Citations
13
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
54.20
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article

Research Methods in a Nutshell: What, Why, When, Where, Who, and How?

Rahul Pratap Singh Kaurav, J.C. Paul
13 citations
International Journal of Consumer Studies
Technology Adoption and User Behaviour
54.20
article

Research Methods in a Nutshell: What, Why, When, Where, Who, and How?

Rahul Pratap Singh Kaurav, J.C. Paul
article en
13 citations

Abstract

ABSTRACT Over the years, it has been observed that discussions on research methods in academic writing often oscillate between two extremes: either abstract philosophical debates or purely technical instructions. Many early career researchers—and sometimes even experienced scholars—struggle with the simple question: Which method should be used? The answer, however, is rarely straightforward. It depends not only on the convenience or the disciplinary habit of a researcher but also on the nature of the research question, the timing of the inquiry, the context in which it is situated, the units of analysis involved, and the resources available for its execution. Textbooks have contributed richly to our understanding, yet they frequently overwhelm rather than provide clarity. In this context, we provide a comparative overview of important research methods using the 5WH framework (What, Why, When, Where, Who, and How), based on years of experience as an Editor. We provide a synthesis of regression‐based methods, experimental methods, multivariate methods, qualitative methods, mixed methods, configurational and comparative methods (QCA family), big data and computational methods, AI‐driven methods and techniques, and finally, literature review methods.

International Journal of Consumer StudiesVol. 49(6)
Korea University (KR), University of Puerto Rico System (PR), Fore School of Management (IN)
Openalex Percentile: Top 0%
Technology Adoption and User Behaviour
54.20
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