Analyzing inconsistent cases in Management fsQCA studies: A methodological manifesto

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• 作者：Lakshmi Balachandran Nair ; ^{lakshmi.balachandran.nair@usi.ch" class="auth_mail" title="E-mail the corresponding author} ; Michael Gibbert ^{michael.gibbert@usi.ch" class="auth_mail" title="E-mail the corresponding author}
• 关键词：QCA ; Inconsistent cases ; Theory building ; Multi method research
• 刊名：Journal of Business Research
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：69
• 期：4
• 页码：1464-1470
• 全文大小：362 K

文摘

Cases inconsistent with theoretical expectations are by default indicators for a lack of theory-data fit, and as such are prime candidates for theory building. However, the conventional tendency is to ignore inconsistent cases in Management research. The current article focuses on the theory-building prowess of inconsistent or deviant cases which turn up during an fsQCA study. The study looks at some of the key tenets of QCA: A cross-tabulation of cause and effect can demonstrate superior explanatory completeness only if one can account for all cases (be they deviant or not). To improve the neat theory-data fit characteristic of QCA, the paper proposes two new strategies for analyzing inconsistent cases of necessity and sufficiency in fuzzy set QCA studies and discusses their contributions to methodological sophistication.