Adapting and blending grounded theory with case study: a practical guide

Charles Dahwa ()
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Charles Dahwa: Manchester Metropolitan University

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 3, No 42, 2979-3000

Abstract: Abstract This article tackles how to adapt grounded theory by blending it with case study techniques. Grounded theory is commended for enabling qualitative researchers to avoid priori assumptions and intensely explore social phenomena leading to enhanced theorization and deepened contextualized understanding. However, it is criticized for generating enormous data that is difficult to manage, contentious treatment of literature review and category saturation. Further, while the proliferation of several versions of grounded theory brings new insights and some clarity, inevitably some bits of confusion also creep in, given the dearth of standard protocols applying across such versions. Consequently, the combined effect of all these challenges is that grounded theory is predominantly perceived as very daunting, costly and time consuming. This perception is discouraging many qualitative researchers from using grounded theory; yet using it immensely benefits qualitative research. To gradually impart grounded theory skills and to encourage its usage a key solution is to avoid a full-scale grounded theory but instead use its adapted version, which exploits case study techniques. How to do this is the research question for this article. Through a reflective account of my PhD research methodology the article generates new insights by providing an original and novel empirical account about how to adapt grounded theory blending it with case study techniques. Secondly, the article offers a Versatile Interview Cases Research Framework (VICaRF) that equips qualitative researchers with clear research questions and steps they can take to effectively adapt grounded theory by blending it with case study techniques.

Keywords: Case study; Grounded theory; Qualitative research; Qualitative inquiry (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-023-01783-9

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