The Mixed Blessing of Leaders’ Artificial Intelligence (AI)-oriented Change Behavior: Implications for Employee Job Performance and Unethical Behavior

He, Guohua; Zheng, Xinnian; Li, Wenpu; Tan, Ling; Chen, Siying; He, Yifan

doi:10.1007/s11482-023-10250-4

Applied Research Quality Life

2023

DOI: 10.1007/s11482-023-10250-4

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The Mixed Blessing of Leaders’ Artificial Intelligence (AI)-oriented Change Behavior: Implications for Employee Job Performance and Unethical Behavior

Guohua He,

Xinnian Zheng,

Wenpu Li

et al.

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2024

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Cited by 2 publications

References 90 publications

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Leaders Inflate Performance Ratings for Employees Who Use Robots to Augment Their Performance

He,

Yam,

Zhao

et al. 2024

Human Resource Management

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With robot usage becoming increasingly prevalent in contemporary workplaces, a key task for supervisors is conducting performance ratings in the context of employee‐robot value co‐creation. In this research, we explore whether, how, and when employees' robot usage affects supervisors' performance ratings. Drawing upon attribution theory, we suggest that supervisors might overestimate the performance of employees who use robots at work. Across a pilot study, two experiments, and one field study, we find that employees' robot usage is positively associated with supervisors' illusory performance transference (i.e., supervisors' belief that robot–associated performance should be attributed to employees who use robots at work). In turn, this transference is positively associated with high performance ratings for the respective employees. Furthermore, the supervisor–perceived experience of robots (i.e., supervisors' perceptions that robots are able to feel emotions and sensations) weakens this indirect effect. We conclude by discussing the theoretical and practical implications of our findings and future directions.

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Leaders Inflate Performance Ratings for Employees Who Use Robots to Augment Their Performance

He,

Yam,

Zhao

et al. 2024

Human Resource Management

View full text Add to dashboard Cite

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Artificial intelligence in the workplace – challenges, opportunities and HRM framework: a critical review and research agenda for change

Mendy,

Jain,

Thomas

2024

JMP

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PurposeThis paper specifically aims to examine how (via which activities, methods and capabilities) organizations’ management deploy Artificial Intelligence (AI) systems to address underperformance. Five mitigation strategies/recommendations are introduced to manage the challenges and facilitate greater efficacies in changing organizations.Design/methodology/approachThis paper conceptually synthesizes 47 articles, thematically reports and critically analyzes the AI–HRM–managerial decision-making relationship in changing organizations and discusses the impacts.FindingsThe results highlight three significant challenges and opportunities for changing organizations: (1) job performance challenges, (2) organizational performance challenges and HR and (3) collaborative intelligence opportunities.Originality/valueThe paper’s originality lies in addressing the current lack of a theoretical framework guiding HRM and AI experts on the managerial and strategic capabilities needed to address underperformance and their impacts in facilitating collective efficacies in human–AI collaboration in changing organizations. By further capturing an innovative HR Framework’s (1) human, (2) AI, (3) employees’ well-being, (4) jobs and (5) organizational performance, and its five key managerial recommendations/strategies, this paper develops two concepts: “technological servitization” and “re-ontological in-securitization” to advance theory in Managerial Psychology regarding the unintended/paradoxical consequences of managements’ AI-driven organizational performance interventions, including meaninglessness in organizations.

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The Mixed Blessing of Leaders’ Artificial Intelligence (AI)-oriented Change Behavior: Implications for Employee Job Performance and Unethical Behavior

Cited by 2 publications

References 90 publications

Leaders Inflate Performance Ratings for Employees Who Use Robots to Augment Their Performance

Leaders Inflate Performance Ratings for Employees Who Use Robots to Augment Their Performance

Artificial intelligence in the workplace – challenges, opportunities and HRM framework: a critical review and research agenda for change

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