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Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT
dc.contributor.author | Pawan Budhwar | |
dc.contributor.author | Soumyadeb Chowdhury | |
dc.contributor.author | Geoffrey Wood | |
dc.contributor.author | et al. | |
dc.date.accessioned | 2023-12-18T08:15:50Z | |
dc.date.available | 2023-12-18T08:15:50Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/14643 | |
dc.description.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 poten tial benefits and drawbacks across various sectors of the economy, democracy, society, and environment. It remains unclear whether these technologies result in job displace ment or creation, or if they merely shift human labour by generating new, potentially trivial or practically irrel evant, 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 rela tionships, 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 appli cations, while heightening risks related to well-being, bias, misinformation, context insensitivity, privacy issues, ethi cal 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 synthe sizes 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 | vi |
dc.language.iso | en | vi |
dc.publisher | John Wiley & Sons Ltd | vi |
dc.relation.ispartofseries | Human Resource Management Journal 2023;33:606–659. | |
dc.subject | artificial intelligence | vi |
dc.subject | ChatGPT | vi |
dc.subject | human resource strategy | vi |
dc.subject | HRM | vi |
dc.title | Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT | vi |
dc.type | Article | vi |
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