04155nam a22005415i 4500 978-3-031-75266-7 DE-He213 20251030114637.0 cr nn 008mamaa 241224s2024 sz | s |||| 0|eng d 9783031752667 978-3-031-75266-7 10.1007/978-3-031-75266-7 doi HF5549-5549.5 KJMV2 bicssc BUS030000 bisacsh KJMV2 thema Tursunbayeva, Aizhan. author. (orcid)0000-0002-4481-9566 https://orcid.org/0000-0002-4481-9566 aut http://id.loc.gov/vocabulary/relators/aut 89495 Augmenting Human Resource Management with Artificial Intelligence [electronic resource] : Towards an Inclusive, Sustainable, and Responsible Future / by Aizhan Tursunbayeva. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXXIII, 151 p. 9 illus., 7 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Contributions to Management Science, 2197-716X 1. 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. The 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. Personnel management. 57459 Business information services. Business ethics. 58372 Human Resource Management. 66590 IT in Business. Business Ethics. 58372 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031752650 Printed edition: 9783031752674 Printed edition: 9783031752681 Contributions to Management Science, 2197-716X 69223 https://doi.org/10.1007/978-3-031-75266-7 ZDB-2-BUM ZDB-2-SXBM 65998 65998