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Digital HR : Technologies for HR Transformation and Performance Improvement

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This book explores the impact of technology on HR practices and how organisations can effectively incorporate these advancements to improve HR processes. It provides a comprehensive overview of the various technologies that are transforming HR, including artificial intelligence, machine learning, big data, and blockchain. The book provides real-world examples, case studies, and best practices that illustrate how organisations are successfully leveraging technology to improve their HRM processes and outcomes. This practical orientation makes the book valuable for professionals and scholars who are interested or 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 various emerging technologies that are 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 HR management • 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 looking to understand 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 from the computer science, Business Management, Human Resources, and HRM disciplines interested in digital HR.

  • Utgivelsesdato:

    10.06.2025

  • ISBN/Varenr:

    9781032619620

  • Språk:

    Engelsk

  • Forlag:

    Chapman & Hall/CRC

  • Innbinding:

    Innbundet

  • Fagtema:

    Økonomi, finans, næringsliv og ledelse

  • Serie:

    Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management

  • Litteraturtype:

    Faglitteratur

  • Sider:

    216

  • Høyde:

    23.4 cm

  • Bredde:

    15.6 cm

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