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Augmenting human resource management with artificial intelligence = towards an inclusive, sustainable, and responsible future /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Augmenting human resource management with artificial intelligence/ by Aizhan Tursunbayeva.
其他題名:
towards an inclusive, sustainable, and responsible future /
作者:
Tursunbayeva, Aizhan.
出版者:
Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:
xxxiii, 151 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Personnel management - Technological innovations. -
電子資源:
https://doi.org/10.1007/978-3-031-75266-7
ISBN:
9783031752667
Augmenting human resource management with artificial intelligence = towards an inclusive, sustainable, and responsible future /
Tursunbayeva, Aizhan.
Augmenting human resource management with artificial intelligence
towards an inclusive, sustainable, and responsible future /[electronic resource] :by Aizhan Tursunbayeva. - Cham :Springer Nature Switzerland :2024. - xxxiii, 151 p. :ill. (chiefly color), digital ;24 cm. - Contributions to management science,2197-716X. - Contributions to management science..
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.
ISBN: 9783031752667
Standard No.: 10.1007/978-3-031-75266-7doiSubjects--Topical Terms:
933322
Personnel management
--Technological innovations.
LC Class. No.: HF5549
Dewey Class. No.: 658.30028563
Augmenting human resource management with artificial intelligence = towards an inclusive, sustainable, and responsible future /
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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.
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