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020 _a9783031752667
_9978-3-031-75266-7
024 7 _a10.1007/978-3-031-75266-7
_2doi
050 4 _aHF5549-5549.5
072 7 _aKJMV2
_2bicssc
072 7 _aBUS030000
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072 7 _aKJMV2
_2thema
100 1 _aTursunbayeva, Aizhan.
_eauthor.
_0(orcid)0000-0002-4481-9566
_1https://orcid.org/0000-0002-4481-9566
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989495
245 1 0 _aAugmenting Human Resource Management with Artificial Intelligence
_h[electronic resource] :
_bTowards an Inclusive, Sustainable, and Responsible Future /
_cby Aizhan Tursunbayeva.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXXIII, 151 p. 9 illus., 7 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aContributions to Management Science,
_x2197-716X
505 0 _a1. Artificial Intelligence and HRM -- 2. Contemporary HRM: Evolution, Trends, and Factors of Influence -- 3. Navigating AI: Implications for the World of Work and HRM -- 4. Leaving (operational) HRM to AI -- 5. AI Applications to Assist with Relational AI -- 6. Augmenting HRM with AI: From Diversity and Inclusion, and Sustainability to Neurotechnologies -- 7. AI for HRM: Organizational enlightenment or an ethical minefield? -- 8. A multi-level Responsible AI approach to tackling AI Challenges -- 9. AI adoption and Change Management -- 10. AI and the Future of HRM Work -- A final reflection.
520 _aThe potential of Artificial Intelligence (AI) to reshape Human Resource Management (HRM) practices is profound, but it also presents challenges that require careful consideration, particularly in terms of ethics, inclusivity, and sustainability. However, knowledge about whether and how this transformation is actually occurring remains limited. This book aims to provide a theoretically informed and empirically grounded examination of AI's role in shaping the future of HRM and work. The book explores HRM technologies using a configurational approach, which views HRM practices as a blend of operational, relational, and transformational elements. It consistently addresses the dual perspectives on AI—its transformative potential and the concerns surrounding its disruptive impact on the future of work and management. In doing so, the book draws on ongoing original research, including an analysis of vendors' value propositions and insights from scholars and experts. Real-life applications of AI in HRM are also thoroughly covered, offering insights into algorithmic management, AI-driven relational HRM configurations, and AI-augmented HRM. The book dedicates significant attention to the ethical implications of AI and how they can be addressed through Responsible AI principles. Ultimately, it establishes a framework for future research and practice, serving as a crucial reference for scholars, practitioners, and policymakers.
650 0 _aPersonnel management.
_957459
650 0 _aBusiness information services.
650 0 _aBusiness ethics.
_958372
650 1 4 _aHuman Resource Management.
_966590
650 2 4 _aIT in Business.
650 2 4 _aBusiness Ethics.
_958372
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031752650
776 0 8 _iPrinted edition:
_z9783031752674
776 0 8 _iPrinted edition:
_z9783031752681
830 0 _aContributions to Management Science,
_x2197-716X
_969223
856 4 0 _uhttps://doi.org/10.1007/978-3-031-75266-7
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
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