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Confronting and alleviating AI resistance in the workplace: An integrative review and a process framework

2024/12/30 by Ismail Golgeci, İsmail Gölgeci̇, Paavo Ritala +3 · 2 citations
Social Sciences · Psychology · #Ethics and Social Impacts of AI #Cyberloafing and Workplace Behavior #Technostress in Professional Settings

paper · doi:10.1016/j.hrmr.2024.101075

Abstract

This study involves an integrative literature review and a process framework explaining the mechanisms to confront and alleviate employee Artificial intelligence (AI) resistance in organizations. First, we conceptualize AI resistance as a three-dimensional concept embodied in employees' fears, inefficacies, and antipathies toward AI. We advance that experiencing mistrust, existential questioning, and technological reflection are key individual mechanisms to confronting AI resistance connected to organizational mechanisms to alleviate AI resistance through the continuous interaction and unfolding of anxiety and introspection. We also explain the alleviation of AI resistance as an organizational process consisting of AI accessibility, human-AI augmentation, and AI-technology legitimation, each of which maps into one of the dimensions in the employee-level confrontation mechanisms. Overall, our conceptual framework provides an overarching and granular understanding of AI resistance, how employees confront it, and how it can be alleviated in the workplace. • Develops a process framework explaining the mechanisms to confront and alleviate employee AI resistance. • AI resistance as a three-dimensional concept embodied in employees' fears, inefficacies, and antipathies toward AI. • Highlights mistrust, existential questioning, and technological reflection as key individual concerns • AI resistance is alleviated through AI accessibility, human-AI augmentation, and AI-technology legitimation.

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