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

Publication date

2023-07

Authors

Budhwar, Pawan
Chowdhury, Soumyadeb
Wood, Geoffrey
Aguinis, Herman
Bamber, Greg J.
Beltran, Jose R.
Boselie, PaulORCID 0000-0001-8507-7258ISNI 0000000359390034
Lee Cooke, Fang
Decker, Stephanie
DeNisi, Angelo

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

cc_by_nc_nd

Abstract

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.

Keywords

artificial intelligence, ChatGPT, CSR, ethics, generative AI, HRM, human resource strategy, international human resource management, productivity, sustainability, Organizational Behavior and Human Resource Management, SDG 8 - Decent Work and Economic Growth

Citation

Budhwar, P, Chowdhury, S, Wood, G, Aguinis, H, Bamber, G J, Beltran, J R, Boselie, P, Lee Cooke, F, Decker, S, DeNisi, A, Dey, P K, Guest, D, Knoblich, A J, Malik, A, Paauwe, J, Papagiannidis, S, Patel, C, Pereira, V, Ren, S, Rogelberg, S, Saunders, M N K, Tung, R L & Varma, A 2023, 'Human resource management in the age of generative artificial intelligence : Perspectives and research directions on ChatGPT', Human Resource Management Journal, vol. 33, no. 3, pp. 606-659. https://doi.org/10.1111/1748-8583.12524