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A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership

Author

Listed:
  • Dewie Tri Wijayati
  • Zainur Rahman
  • A’rasy Fahrullah
  • Muhammad Fajar Wahyudi Rahman
  • Ika Diyah Candra Arifah
  • Achmad Kautsar

Abstract

Purpose - This paper aims to explore employee perceptions of companies engaged in services and banking of the role of change leadership on the application of artificial intelligence (AI) that will impact the performance and work engagement in conditions that are experiencing rapid changes. Design/methodology/approach - This study has used a quantitative research approach, and data analysis uses an approach structural equation modeling (SEM) supported by program computer software AMOS 22.0. A total of 357 respondents were involved in this study, but only 254 were qualified. In this study, the respondent is an employee of companies engaged in the services and banking sector in the East Java, Indonesia region. Findings - The results reveal that AI has a significant positive effect on employee performance and work engagement. Change leadership positively moderates the influence of AI on employee performance and work engagement. Originality/value - The development of this model has a novelty by including the moderating variable of the role of change leadership because, in conditions that are experiencing rapid changes, the role of leaders is essential. After all, leaders are decision-makers in the organization. The development of this concept focuses on studies of companies engaged in services and banking. Employee performance is an essential determinant in the organization because it will improve organizational performance. In addition, the application of AI in organizations will experience turmoil, so that the critical role of leaders is needed to achieve success with employee work engagement.

Suggested Citation

  • Dewie Tri Wijayati & Zainur Rahman & A’rasy Fahrullah & Muhammad Fajar Wahyudi Rahman & Ika Diyah Candra Arifah & Achmad Kautsar, 2022. "A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(2), pages 486-512, January.
    • Handle: RePEc:eme:ijmpps:ijm-07-2021-0423
    DOI: 10.1108/IJM-07-2021-0423
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    Citations

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    Cited by:

    1. Olimpia Ban & Irina Maiorescu & Mihaela Bucur & Gabriel Cristian Sabou & Betty Cohen Tzedec, 2024. "AI between Threat and Benefactor for the Competences of the Human Working Force," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 762-762, August.
    2. Prentice, Catherine & Wong, IpKin Anthony & Lin, Zhiwei (CJ), 2023. "Artificial intelligence as a boundary-crossing object for employee engagement and performance," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    3. Fallahnejad Ali & Nazari Reza & Fard Mehdi Moradzadeh, 2023. "Analysis of the Relationship Between the Development of Performance Criteria and Job Performance of Employees with Respect to the Mediating Role of Employee Participation," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(2), pages 1-26, June.

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