Qualitative comparative analysis : justifying a neo-configurational approach in management research
Federo, Ryan (Universitat Ramon Llull. Escola Superior d'Administració i Direcció d'Empreses Esade)
Parente, Tobias (Universidade de São Paulo)

Data:	2019
Resum:	Purpose The purpose of this paper is to critically reflect and offer insights on how to justify the use of qualitative comparative analysis (QCA) as a research method for understanding the complexity of organizational phenomena, by applying the principles of the neo-configurational approach. Design/methodology/approach We present and critically examine three arguments regarding the use of QCA for management research. First, they discuss the need to assume configurational theories to build and empirically test a causal model of interest. Second, we explain how the three principles of causal complexity are assumed during the process of conducting QCA-based studies. Third, we elaborate on the importance of case knowledge when selecting the data for the analysis and when interpreting the results. Findings We argue that it is important to reflect on these arguments to have an appropriate research design. In the true spirit of the configurational approach, we contend that the three arguments presented are necessary; however, each argument is insufficient to warrant a QCA research design. Originality/value This paper contributes to management research by offering key arguments on how to justify the use of QCA-based studies in future research endeavors.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	QCA ; Case knowledge ; Causal complexity ; Configurational theory
Publicat a:	RAUSP Management Journal, Vol. 54 Núm. 4 (2019) , p. 399-412, ISSN 2531-0488

DOI: 10.1108/rausp-05-2019-0089

14 p, 386.6 KB

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