Accessibility navigation

Human resource management in the age of generative artificial intelligence: perspectives and research directions on ChatGPT

Budhwar, P. ORCID:, Chowdhury, S. ORCID:, Wood, G., Aguinis, H. ORCID:, Bamber, G. J. ORCID:, Beltran, J. R. ORCID:, Boselie, P., Lee Cooke, F. ORCID:, Decker, S. ORCID:, DeNisi, A., Dey, P. K., Guest, D. ORCID:, Knoblich, A. J., Malik, A. ORCID:, Paauwe, J., Papagiannidis, S., Patel, C., Pereira, V. ORCID:, Ren, S. ORCID:, Rogelberg, S. , Saunders, M. N. K. ORCID:, Tung, R. L. and Varma, A. ORCID: (2023) Human resource management in the age of generative artificial intelligence: perspectives and research directions on ChatGPT. Human Resource Management Journal, 33 (3). pp. 606-659. ISSN 1748-8583

Text (Open Access) - Published Version
· Available under License Creative Commons Attribution Non-commercial No Derivatives.
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1111/1748-8583.12524


ChatGPT and its variants that use generative artificial intelligence (AI) models have rapidly become a focal point in academic and media discussions about their potential benefits and drawbacks across various sectors of the economy, democracy, society, and environment. It remains unclear whether these technologies result in job displacement or creation, or if they merely shift human labour by generating new, potentially trivial or practically irrelevant, information and decisions. According to the CEO of ChatGPT, the potential impact of this new family of AI technology could be as big as “the printing press”, with significant implications for employment, stakeholder relationships, business models, and academic research, and its full consequences are largely undiscovered and uncertain. The introduction of more advanced and potent generative AI tools in the AI market, following the launch of ChatGPT, has ramped up the “AI arms race”, creating continuing uncertainty for workers, expanding their business applications, while heightening risks related to well-being, bias, misinformation, context insensitivity, privacy issues, ethical dilemmas, and security. Given these developments, this perspectives editorial offers a collection of perspectives and research pathways to extend HRM scholarship in the realm of generative AI. In doing so, the discussion synthesizes the literature on AI and generative AI, connecting it to various aspects of HRM processes, practices, relationships, and outcomes, thereby contributing to shaping the future of HRM research.

Item Type:Article
Divisions:Henley Business School > International Business and Strategy
ID Code:112683
Uncontrolled Keywords:Organizational Behavior and Human Resource Management


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation