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

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dc.contributor.authorBudhwar, Pawan
dc.contributor.authorChowdhury, Soumyadeb
dc.contributor.authorWood, Geoffrey
dc.contributor.authorAguinis, Herman
dc.contributor.authorBamber, Greg J.
dc.contributor.authorBeltran
dc.contributor.authorBoselie, Paul
dc.contributor.authorCooke, Fang Lee
dc.contributor.authorDecker, Stephanie
dc.contributor.authorDeNisi, Angelo
dc.contributor.authorDey, Prasanta Kumar
dc.contributor.authorGuest, David
dc.contributor.authorKnoblich, Andrew J.
dc.contributor.authorMalik, Ashish
dc.contributor.authorPaauwe, Jaap
dc.contributor.authorPapagiannidis, Savvas
dc.contributor.authorPatel, Charmi
dc.contributor.authorPereira, Vijay
dc.contributor.authorRen, Shuang
dc.contributor.authorRogelberg, Steven
dc.contributor.authorSaunders, Mark N. K.
dc.contributor.authorTung, Rosalie L.
dc.contributor.authorVarma, Arup
dc.date.accessioned2023-08-08T09:41:13Z
dc.date.available2023-08-08T09:41:13Z
dc.date.issued2023-07-10
dc.description.abstractChatGPT 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.en_UK
dc.identifier.citationBudhwar P, Chowdhury S, Wood G, et al., (2023) Human resource management in the age of generative artificial intelligence: perspectives and research directions on ChatGPT, Human Resource Management Journal, Volume 33, Issue 3, July 2023, pp. 606-659en_UK
dc.identifier.eissn1748-8583
dc.identifier.issn0954-5395
dc.identifier.urihttps://doi.org/10.1111/1748-8583.12524
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20058
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectartificial intelligenceen_UK
dc.subjectChatGPTen_UK
dc.subjectCSRen_UK
dc.subjectethicsen_UK
dc.subjectgenerative AIen_UK
dc.subjectHRMen_UK
dc.subjecthuman resource strategyen_UK
dc.subjectinternational human resource managementen_UK
dc.subjectproductivityen_UK
dc.subjectsustainabilityen_UK
dc.titleHuman resource management in the age of generative artificial intelligence: perspectives and research directions on ChatGPTen_UK
dc.typeArticleen_UK

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