Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview
Malaviya National Institute of Technology Jaipur · Swinburne University of Technology Sarawak Campus · +5 more institutions
Abstract
To make scientific inferences about business phenomena, it may not be sufficient to consider the real-world context of the business environment as statistically symmetrical (e.g., linearly, regular frequencies). This is why recently the use of asymmetrical techniques which draw on the reasoning of complexity theory – such as fuzzy-set qualitative comparative analysis (fsQCA) – to better predict and explain real-world business phenomena using a configurational approach is being increasingly promoted. This article aims to identify the key contributors and knowledge structure of business and management research involving the application of complexity theory and fsQCA. Using bibliographic data of 1,155 articles…
Citation impact
- FWCI
- 150.61
- Percentile
- 100%
- References
- 198
Authors
5- SKSatish Kumar
Malaviya National Institute of Technology Jaipur, Swinburne University of Technology Sarawak Campus
- SSSaumyaranjan Sahoo
Jaipuria Institute of Management
- WMWeng Marc Lim
Swinburne University of Technology, Swinburne University of Technology Sarawak Campus
- SKSascha KrausCorresponding
University of Johannesburg, Free University of Bozen-Bolzano
- UBUmesh Bamel
International Management Institute
Topics & keywords
- Qualitative comparative analysis
- Computer science
- Scopus
- Data science
- Context (archaeology)
- Fuzzy set
- Management science
- Knowledge management