Fuzzy-set qualitative comparative analysis in consumer research: A systematic literature review

ABSTRACT

The traditional symmetrical methods may not be sufficient for effectively examining the asymmetries that are evident in the real-world complex consumption context in the form of pandemic, and other technological, sociocultural, environmental, and geo-political factors. As a result, the use of innovative and asymmetrical methods such as fuzzy-set qualitative comparative analysis (fsQCA), which draws from the complexity theory could help better predict and explain consumer decisions in the age of disruptions. Through a comprehensive method-based systematic literature review of 129 research articles published in the consumer behavior research literature, this study helps to identify the key trends, leading publication sources and contributors, and the current knowledge structure of consumer research using fsQCA. In doing so, this review also sheds light on the state of diversity within this particular area of research. The findings help identify the key future avenues for utilizing fsQCA within consumer research. This review is a useful resource for practitioners to gain a direct access to key consumer research scholars for identifying the constructs (e.g., antecedents, mediators, moderators, enablers, inhibitors) shaping consumer behaviors to inform strategic decisions.