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035   $a(DE-He213)978-3-031-75266-7
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101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAugmenting Human Resource Management with Artificial Intelligence $eTowards an Inclusive, Sustainable, and Responsible Future /$fby Aizhan Tursunbayeva
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (171 pages)
225 1 $aContributions to Management Science,$x2197-716X
311 08$a3-031-75265-1 
327   $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.
330   $aThe potential of Artificial Intelligence (AI) to reshape Human Resource Management (HRM) practices is profound, but it also presents challenges that require careful consideration, particularly in terms of ethics, inclusivity, and sustainability. However, knowledge about whether and how this transformation is actually occurring remains limited. This book aims to provide a theoretically informed and empirically grounded examination of AI's role in shaping the future of HRM and work. The book explores HRM technologies using a configurational approach, which views HRM practices as a blend of operational, relational, and transformational elements. It consistently addresses the dual perspectives on AI?its transformative potential and the concerns surrounding its disruptive impact on the future of work and management. In doing so, the book draws on ongoing original research, including an analysis of vendors' value propositions and insights from scholars and experts. Real-life applications of AI in HRM are also thoroughly covered, offering insights into algorithmic management, AI-driven relational HRM configurations, and AI-augmented HRM. The book dedicates significant attention to the ethical implications of AI and how they can be addressed through Responsible AI principles. Ultimately, it establishes a framework for future research and practice, serving as a crucial reference for scholars, practitioners, and policymakers.
410  0$aContributions to Management Science,$x2197-716X
606   $aPersonnel management
606   $aBusiness information services
606   $aBusiness ethics
606   $aHuman Resource Management
606   $aIT in Business
606   $aBusiness Ethics
615  0$aPersonnel management.
615  0$aBusiness information services.
615  0$aBusiness ethics.
615 14$aHuman Resource Management.
615 24$aIT in Business.
615 24$aBusiness Ethics.
676   $a658.3
700   $aTursunbayeva$b Aizhan$01781175
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910918695703321
996   $aAugmenting Human Resource Management with Artificial Intelligence$94305943
997   $aUNINA