Humanizing GenAI at work: bridging the gap between technological innovation and employee engagement

Manresa, A. and Sammour, Ammar and Mas-Machuca, M. and Chen, W. and Botchie, D. (2023) Humanizing GenAI at work: bridging the gap between technological innovation and employee engagement. Journal of Managerial Psychology , ISSN 0268-3946.

Abstract

Purpose– This paper seeks to explore the influence of generative artificial intelligence (GenAI) on employee performance in the workplace, viewed from a managerial perspective. It concentrates on key elements such as employee engagement, trust in GenAI and attitudes toward its implementation. This exploration is motivated by the ongoing evolution of GenAI, which presents managers with the crucial task of understanding and integrating this technology into their strategic frameworks. Design/methodology/approach– We collected 251 responses from managers and senior managers representing companies that have embracedGenAI inSpain. Ahierarchical regression analysiswas employed to examine the hypotheses. Subsequently, mediating effects and moderated mediation effects were scrutinized using the bias-corrected bootstrapping method. Findings– Thedataanalysis suggests a significant enhancement in employee engagement and performance from a managerial perspective, attributed to improved attitudes and trust toward the adoption of GenAI. This conclusion is drawn from our research conducted with samples collected in Spain. Notably, our findings indicate that while positive attitudes toward GenAI correlate with enhanced engagement and performance, there exists a weakening effect on the significant positive impact of GenAI adoption in the workplace. This suggeststhatGenAIisstillinitsearlystages ofadoptionwithinthesecompanies,necessitatingadditionaltime for managers to develop greater confidence in its efficacy. Originality/value– This study represents one of the pioneering investigations centered on the implementation of GenAI within the workplace context. It contributes significantly to the existing body of literature concerning the stimulus-organism-response (S-O-R) model in technology innovation adoption within work environments. Keywords GenAI, Management, Work engagement, Technology acceptance, Employee performance Paper type Research paper

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