ArticleFrontiers in psychology2026
From net effects to configurational pathways: a dual examination of employee innovative behavior through integrated SEM-fsQCA framework.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- The effect of perceived organizational support on innovative behavior among nurses: a parallel mediation model of digital competence and work thriving.Frontiers in psychology · 2026Article
- How AI anxiety and contextual factors shape employee deviant innovation.Frontiers in psychology · 2026Article
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Authors and funding
6 authors.
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Abstract
Introduction: While conventional structural equation modeling (SEM) emphasizes net effects between variables, it inadequately captures the multiple equifinal pathways underlying employee innovative behavior. Drawing on componential creativity theory and social cognitive theory, this study advances a methodological triangulation approach by integrating SEM with fuzzy-set qualitative comparative analysis (fsQCA) to examine the mechanisms through which trait mindfulness influences innovative behavior. Methods: We analyzed data from 297 employees in digitally transforming organizations, employing both SEM and fsQCA to test symmetric causal relationships and identify asymmetric configurational patterns. Results: SEM findings reveal that trait mindfulness affects innovative behavior through work flourishing (full mediation) and organizational resilience (partial mediation), with digital leadership exerting a negative moderating effect. fsQCA identifies three equifinal configurations leading to high innovative behavior, with the "high mindfulness × high resilience" configuration emerging as the dominant pathway. Discussion: This study demonstrates the methodological complementarity of SEM-fsQCA integration: whereas SEM elucidates symmetric causal relationships and average effects, fsQCA unveils asymmetric configurational patterns and necessary/sufficient conditions, providing a more comprehensive understanding of the complex mechanisms driving employee innovation.
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