Call for Chapters: Human Resource Management in the Age of Generative AI

Editors

Aftab Ara, University of Hail, Saudi Arabia, Saudi Arabia

Call for Chapters

Proposals Submission Deadline: July 14, 2024
Full Chapters Due: October 6, 2024
Submission Date: October 6, 2024

Introduction

In the transformative landscape of the 21st century, the field of Human Resource Management (HRM) stands at the cusp of a revolutionary shift, propelled by the advent of Generative Artificial Intelligence (AI). The forthcoming book, "Human Resource Management in the Age of Generative AI," seeks to explore the profound implications of this technological marvel on HRM practices, policies, and paradigms. As organizations navigate through the complexities of digital transformation, Generative AI emerges as a pivotal force in redefining the essence of human capital. This book aims to provide HR professionals, business leaders, and academicians with a comprehensive understanding of how Generative AI is reshaping talent acquisition, employee engagement, training, and development, as well as strategic decision-making. Through a blend of theoretical insights and practical applications, the book will delve into the ethical considerations, challenges, and opportunities that Generative AI presents within the HR domain. It will serve as a guide for harnessing the potential of AI to foster a more dynamic, inclusive, and efficient workplace. Join us on this enlightening journey to decipher the future of Human Resource Management, where human intuition meets artificial intelligence, creating a synergy that propels organizations towards unprecedented heights of innovation and productivity.

Objective

The primary purpose of this book is to equip HR professionals with the knowledge and tools necessary to harness the power of generative AI effectively. It seeks to provide a comprehensive understanding of how AI can enhance HR functions, from recruitment to employee engagement, and the ethical considerations that come with its implementation.

Target Audience

The target audience for the book “Human Resource Management in the Age of Generative AI” is multifaceted, encompassing a diverse range of professionals and enthusiasts who are keen to understand the intersection of AI technology and human resource practices. Here are the key groups that the book is intended for: •HR Professionals: Those who are directly involved in the management of human resources and are looking to integrate AI into their workflows to enhance efficiency and decision-making. •Business Leaders and Executives: Senior figures who must understand the strategic implications of AI on workforce management and organizational structure. •AI Technologists and Developers: Individuals in the tech industry who are creating AI tools and platforms for HR applications and wish to comprehend the HR domain’s needs and challenges. •Academicians and Students: Scholars and learners in the fields of HRM, business administration, and AI who seek academic and research insights into the future of HRM. •Policy Makers: Government and institutional leaders who are responsible for setting guidelines and regulations around the ethical use of AI in the workplace. •HR Consultants and Advisors: Experts who provide guidance on HRM best practices and are exploring AI-driven solutions for their clients. •General Readers with an Interest in AI: The layperson or enthusiast who is curious about the impact of AI on employment and the workplace of the future. This book aims to cater to these audiences by providing a balanced perspective that is both informative for experts and accessible to non-specialists.

Recommended Topics

Structure: The book is divided into several thematic sections, each addressing a different aspect of HRM in the context of generative AI: 1. Generative AI and HRM Fundamentals: - Overview of generative AI technologies and their foundational impact on HRM. - Theoretical frameworks and models for understanding AI’s role in HRM. 2. Strategic HRM and Generative AI: - Aligning HR strategies with generative AI capabilities. - Case studies on successful integration of AI in HR strategic planning. 3. AI in Talent Acquisition and Development: - Innovations in recruiting and onboarding facilitated by AI. - AI-driven approaches to employee training and career development. 4. Ethics, Bias, and Governance: - Ethical considerations and bias mitigation in AI applications. - Regulatory compliance and governance in the age of AI. 5. AI and Employee Relations: - The impact of AI on employee engagement and satisfaction. - Managing change and employee expectations in an AI-driven workplace. 6. Future of Work and HRM: - Predictions on the evolution of work and HRM roles. - Preparing HRM for the challenges and opportunities of generative AI.

Submission Procedure

Researchers and practitioners are invited to submit on or before July 14, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 28, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 6, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Human Resource Management in the Age of Generative AI. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

July 14, 2024: Proposal Submission Deadline
July 28, 2024: Notification of Acceptance
October 6, 2024: Full Chapter Submission
November 17, 2024: Review Results Returned
December 15, 2024: Final Acceptance Notification
December 22, 2024: Final Chapter Submission



Inquiries

Dr.Aftab Ara
University of Hail, Saudi Arabia
ara.aftab@gmail.com



Classifications


Business and Management; Computer Science and Information Technology; Education; Medicine and Healthcare; Media and Communications; Government and Law; Social Sciences and Humanities
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