... result not from single factors but from the complex interplay between multiple features. Design/methodology/approach This research analyzed 1,705 question records from the AI community on ResearchGate. It employed fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine how configurations of six...

..., including three types of policy instruments, policy continuity, policy intensity, and policy count. The fuzzy set Qualitative Comparative Analysis (fsQCA) method is used to identify patterns that explain how AI policies influence urban innovation performance and to further explore regional differences...

... the technology–organization–environment theoretical framework and combines necessary condition analysis (NCA) with the fuzzy set qualitative comparative analysis (fsQCA). This mixed-method approach is used to analyze necessary and sufficient causal relationships and to identify the key factors affecting...

... contributions, limitations include the fsQCA methodology, perceptual data and the context of the study. The fsQCA methodology is still evolving with different interpretations, although it reveals new insights and as such further studies are required to explain the configural paths of social phenomena...

... questionnaire surveys and used partial least square structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) methods to elucidate the complex causal patterns of consumers' continuous purchase intention toward the SBKPPs. Findings The findings revealed that perceived...