Exploring the Intersection of AI and Human Resources Management

Exploring the Intersection of AI and Human Resources Management

Indexed In: SCOPUS
Release Date: December, 2023|Copyright: © 2024 |Pages: 307
DOI: 10.4018/979-8-3693-0039-8
ISBN13: 9798369300398|ISBN13 Softcover: 9798369300404|EISBN13: 9798369300411
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Description & Coverage
Description:

In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities.

Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI.

Moreover, the book explores the future of AI-enabled customer service, leveraging AI for valuable customer insights and market research, developing AI-based employee wellness programs, and effectively navigating cultural differences in AI-enabled HRM within the Asian context. By exploring these critical areas, readers gain a holistic view of the potential impact of AI on HR strategies and are empowered to shift their focus toward AI-driven approaches.

Exploring the Intersection of AI and Human Resources Management serves as an indispensable guide for unlocking the true potential of AI in Asian organizations, enabling them to overcome the unique challenges they face and optimize their human resources. With its scholarly approach and practical insights, this book stands at the forefront of AI research and its application in HRM, shaping the future of work in the Asian context.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • AI Applications for Recruitment and Selection Processes
  • AI Implementation in HRM
  • AI-Based Performance Appraisal Systems
  • AI-Driven Workforce Planning
  • AI-Enabled HRM Framework
  • AI-Enabled Learning and Development Ecosystems
  • Employee Experience
  • Ethical Considerations of AI Implementation
  • Harnessing AI for Employee Retention Strategies
  • Transformative Impact of AI
Reviews & Statements

This book addresses the growing role of AI in accommodating, adapting, and developing the human resource management (HRM) practices in a modern IT-enabled work environment. Chapters in this book cover interesting aspects from literature and practice to highlight the invaluable combination of AI and HRM in improving HRM and shaping the future of work in organizations, in particular Asian organizations.

– Fazeelat Masood, Bahria University

Exploring the Intersection of AI and Human Resources Management is a comprehensive work that delves into the transformative impact of Artificial Intelligence (AI) and machine learning on the field of human resources. This book serves as a bridge between the fast-evolving domain of AI and the traditional practices of HR management. By doing so, it provides valuable insights into how AI and ML are not just technological tools but are rapidly becoming integral to strategic HR processes.

The book offers a balanced view, combining practical applications of AI in HR with theoretical insights. This approach helps HR professionals and AI practitioners understand the implications of AI technologies in real-world HR scenarios. A key aspect of the book is its focus on the future of work. It examines how AI-driven analytics and automation are reshaping recruitment, talent management, employee engagement, and performance evaluation.
Given the global reach of AI and HR practices, the book takes an international perspective, making it relevant for a diverse range of readers. This is crucial in understanding how different cultural and regulatory environments impact the adoption of AI in HR.
Whether it is for an academic, a student, an HR professional, or an AI technology developer, this book offers something valuable for a wide array of readers. Its comprehensive coverage makes it a must-read for anyone interested in the future intersection of AI and HR. This book "Exploring the intersection of AI and HRM" is a pioneering work that involves the essence of a rapidly evolving scenarios where HRM is being redefined through the lens of AI and machine learning.

– Komal Khalid, King Abdulaziz University

Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI

– Muhammad Farrukh, Shenzhen MSU-BIT

Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI. Moreover, the book explores the future of AI-enabled customer service, leveraging AI for valuable customer insights and market research, developing AI-based employee wellness programs, and effectively navigating cultural differences in AI-enabled HRM within the Asian context. By exploring these critical areas, readers gain a holistic view of the potential impact of AI on HR strategies and are empowered to shift their focus toward AI-driven approaches.

– Atia Aftab, University of Management and Technology Lahore
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Editor/Author Biographies
Muhammad Rafiq is working as an Assistant Professor at Graduate Business School, UCSI University, Kuala Lumpur, Malaysia. He received his Ph.D. in Business Administration specialization in Human Resource Management from the Harbin Institute of Technology, China, in 2018. His teaching and research interests lie in Human Resource Management and Organizational Behaviour. He has vast experience in publications and reviewing in top publishers like Elsevier, Taylor & Francis, Wiley, Springer, Sage, Inderscience, etc. Moreover, he has published more than 35 research articles in International Journals. He is serving as an Associate Editor of Vision Journal of Business Perspective, International Journal Of Productivity and Performance Management, Academic Editor of PlosOne Journal and reviewer of numerous journals.
Dr. Farrukh holds a Ph.D. in Management with a focus on intrapreneurship and industrial psychology. Currently based at Shenzhen MSU-BIT, he brings a wealth of experience from previous roles at institutions such as Beijing Institute of Technology, China, University of Cyberjaya, and Limkokwing University of Creative Technology. An Adjunct Lecturer at UCSI in Malaysia, Dr. Farrukh has extended his teaching expertise to universities in Thailand and Pakistan.
Beyond academia, he actively contributes to the scholarly community as an associate editor and reviewer for reputable SSCI indexed journals.With a publication record in SSCI and Scopus indexed journals and research featured in ESI's top-cited publications, Dr. Farrukh brings a unique blend of academic expertise and practical experience. His hands-on involvement as an active member of a founding teams, playing a key role in launching ventures, adds a practical dimension to his profile. Through his comprehensive background and dedication to bridging theory and practice, Dr. Farrukh is poised to make enduring contributions in the field of management and beyond.

Mushtaq Rizwan, currently heading the MSc Data Science & Business Analytics program at the Department of Finance, Economics & Law, is distinguished by his profound expertise in Financial Economics. Holding an MS in Banking & Finance and a PhD from EDC Paris Business School, his research is centered around CSR disclosure, firm innovation, access to finance, and the application of AI and ML in finance. An esteemed educator, he imparts knowledge in Financial Risk Management, Portfolio Management, Financial Markets, Corporate Finance, and Data Analytics Tools.

Omkar Dastane obtained his Ph.D. in Business from Curtin University and is working as an Assistant Professor and Head of Program (MBAs) at the UCSI Graduate Business School, UCSI University, Kuala Lumpur, Malaysia. Dr. Omkar’s research mainly emphasizes digital consumer behavior, consumer perception and values, technological impact on businesses, and scale development studies in the marketing domain. His research has been published in several international journals and books including the Journal of Retailing and Consumer Services, Marketing Intelligence & Planning among others. He is also an active reviewer for Web of Science and Scopus Indexed Journals.
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