A Study on the Driving Factors of Employees' Adaptive Performance in the Context of Digital Transformation

Abstract

The deepening advancement of digital transformation has made employees' adaptive performance a core element for organizations to maintain competitive advantage. Starting from the transformation of digital work scenarios, this study re-examines the conceptual boundary and structural dimensions of adaptive performance, and constructs a driving mechanism model featuring dual pathways of individual cognition and organizational support. At the level of conceptual reconstruction, this study proposes that adaptive performance in the digital context presents a three-dimensional dynamic structure comprising technological integration, relationship reshaping, and self-regulation. At the level of individual drivers, this study reveals that digital cognitive schemas form a chain activation through the mediating role of digital agility and the digital self-efficacy triggered by cognitive reappraisal, thereby constituting an internal dynamic cycle. At the level of organizational support, this study elucidates the immersive effect of digital climate, the coupling mechanism between technological adaptability and individual adjustment capabilities, as well as the cross-level penetration of team transactive memory systems, which together form the contextual foundation for the generation of adaptive behaviors. Through theoretical integration and mechanism analysis, this study provides a systematic analytical framework for understanding the multiple driving pathways of employees' adaptive performance in the context of digital transformation.