The Electronic Journal of Business Research Methods provides perspectives on topics relevant to research in the field of business and management
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Journal Article

Eating our own Cooking: Toward a More Rigorous Design Science of Research Methods  pp141-153

John Venable, Richard Baskerville

© Dec 2012 Volume 10 Issue 2, ECRM, Editor: Ann Brown, pp53 - 153

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Abstract

This paper argues that Design Science is an appropriate paradigm for research into Research Methods. Research Methods (along with their tools and techniques) are purposeful artefacts, designed and created by people to achieve a specific purpose – i.e. to create new, truthful knowledge. Like other artefacts, research methods vary in their fitness to purpose, i.e. in their utility, depending on their fit and appropriate application to the particular purpose, contexts, and contingencies for which they were developed. Design Science Research aims at developing new purposeful artefacts with evidence of their utility. Applying a DSR perspective to research methods should yield increased utility in the application of research methods, better guidance in applying them and greater confidence in achieving the desired outcomes of applying them. Based on these premises, this paper reviews the basic concerns and issues in Design Science Research (using the balanced scorecard as an example purposeful artefact), then analyses the logical consequences of taking a Design Science perspective on research methods (using the Partial Least Square approach as an example research method purposeful artefact). First, it analyses the various purposes of research methods to clarify the alternative and competing design goals of research methods. Second, it analyses and characterises the types of purposeful (design) artefacts that comprise research methods. Third, it considers issues of the evaluation of research methods. Fourth and finally, it considered the development of design theories of research methods.

 

Keywords: research method, research design, design science research, evaluation, design theory, research rigour

 

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Journal Article

Using the TACT Framework to Learn the Principles of Rigour in Qualitative Research  pp118-129

Ben K. Daniel

© Sep 2019 Volume 17 Issue 3, Editor: Ann Brown, pp102 - 191

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Abstract

Assessing the quality of qualitative research to ensure rigour in the findings is critical, especially if findings are to contribute to theory and be utilised in practice. However, teaching students concepts of rigour and how to apply them to their research is challenging. This article presents a generic framework of rigour with four critical dimensions—Trustworthiness, Auditability, Credibility and Transferability (TACT) intended to teach issues of rigour to postgraduate students and those new to qualitative research methodology. The framework enables them to explore the key dimensions necessary for assessing the rigour of qualitative research studies and checklist questions against each of the dimensions. TACT was offered through 10 workshops, attended by 64 participants. Participants positively evaluated the workshops and reported that the workshops enable them to learn the principles of qualitative research and better understanding issues of rigour. Work presented in the article is part of a large research programme investigating the pedagogy of research methods in higher education.

 

Keywords: Rigour, trustworthiness, auditability, credibility, transferability, methods pedagogy, TACT

 

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Journal Issue

Volume 17 Issue 3 / Sep 2019  pp102‑191

Editor: Ann Brown

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Keywords: entrepreneurs, entrepreneurial skills, mixed-methods, qualitative, quantitative, Rigour, trustworthiness, auditability, credibility, transferability, methods pedagogy, TACT, Problem-based learning, teaching research methods, first year UG business students, business research process, thematic analysis, pattern matching, case study research, deductive qualitative analysis, leading organisational change, mixed method, social media research, Q factor analysis, Q methodology, Q study, Experimental Design; Factorial Surveys; Order-effects; Omitted-Variable Bias JEL Codes: C21; C91, Research methodology; Innovation; Technology; Technological change; Management; Crowdsourcing

 

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