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Digital HR : Technologies for HR Transformation and Performance Improvement.
・ISBN 978-1-032-61962-0 hard GB£ 124.99
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-032-61965-1
| 著者・編者 | Gupta, Deepa / Gupta, Mukul / Balusamy, B. et al. (eds.), |
|---|---|
| シリーズ | Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management |
| 出版社 | (Chapman & Hall / CRC, US) |
| 出版年月 | 2025.06 |
| ページ数 | 216 pp. |
| 言語 | ENG |
| ニュース番号 | <742-260> |
解説
This book explores the impact of technology on Human Resource (HR) practices and how organisations can effectively incorporate progress in technology to improve HR processes. It provides a comprehensive overview of the various advancements that are transforming HR, including artificial intelligence (AI), machine learning, big data, and blockchain. Digital HR provides real-world examples, case studies, and best practices that illustrate how organisations are successfully leveraging technology to improve their HR management (HRM) processes and outcomes. This practical orientation makes the book valuable for professionals and scholars who are interested or have actionable insights to implement technologies for HR transformation and performance improvement in their organisations.
- Offers case studies, best practices, and real-world examples of successful and unsuccessful HR transformation initiatives
- Illustrates the technological progress transforming HR, including AI, machine learning, big data, and blockchain -- HR Software Solutions
- Discusses challenges associated with adapting and implementing them in the various practices and processes of the HRM
- Studies different applications of AI and machine learning in HR, including talent acquisition, performance management, and employee engagement end-to-end technology implementation in their domain
This book is intended for professionals, managers, and executives seeking an understanding of the impact of technology on the workforce and how they can leverage it to achieve their goals. It will also be useful for scholars and researchers interested in digital HR from the fields of computer science, business management, human resources, and HRM.