Call for Chapters: Harnessing AI to Transform Human Resources in Future Workplace Practices

Editors

Muhammad Asif Qureshi, Mohammad Ali Jinnah University, Karachi, Pakistan

Call for Chapters

Proposals Submission Deadline: September 1, 2024
Full Chapters Due: November 3, 2024
Submission Date: November 3, 2024

Introduction

Transforming HR: Harnessing AI for Future Workplace Practices explores the pivotal role of Artificial Intelligence (AI) in revolutionizing Human Resources (HR) functions. In today's rapidly evolving business landscape, organizations are increasingly turning to AI technologies to streamline operations, enhance decision-making processes, and elevate employee experiences. This book serves as a comprehensive guide for HR professionals, business leaders, and technology enthusiasts interested in understanding how AI can transform traditional HR practices into agile, data-driven systems. From recruitment and talent acquisition to performance management and employee engagement, each chapter delves into practical applications of AI that empower HR departments to operate more efficiently and strategically. Readers will gain insights into the ethical considerations, challenges, and opportunities associated with integrating AI into HR workflows. Case studies and real-world examples illustrate successful AI implementations across various industries, offering actionable strategies for leveraging AI to drive organizational success and foster a future-ready workforce. Transforming HR not only explores the current landscape of AI in HR but also looks ahead to future trends and innovations. It equips readers with the knowledge and tools necessary to navigate the complexities of AI adoption, ensuring they can harness the full potential of AI to create inclusive, productive, and forward-thinking workplaces. Whether you're looking to optimize recruitment processes, enhance employee engagement, or ensure fairness in decision-making, this book provides practical guidance and visionary insights into transforming HR practices with AI. This book aims to explore the integration of Artificial Intelligence (AI) in Human Resources (HR) practices, offering insights into how AI can revolutionize HR functions, enhance organizational efficiency, and shape the future of work. It delves into both theoretical foundations and practical applications, providing a comprehensive guide for HR professionals, business leaders, and anyone interested in the intersection of technology and human capital management.

Objective

This book aims to explore the integration of Artificial Intelligence (AI) in Human Resources (HR) practices, offering insights into how AI can revolutionize HR functions, enhance organizational efficiency, and shape the future of work. It delves into both theoretical foundations and practical applications, providing a comprehensive guide for HR professionals, business leaders, and anyone interested in the intersection of technology and human capital management.

Target Audience

Students, University Teachers, Independent researchers, & industrialists.

Recommended Topics

Introduction to AI in HR AI-Driven Recruitment and Talent Acquisition Enhancing Employee Experience with AI AI in Performance Management and Productivity AI for Diversity, Equity, and Inclusion (DEI) Ethical Considerations in AI-Enabled HR Practices Future Trends and Innovations in AI and HR Preparing HR Professionals for the AI Era Conclusion: Embracing the AI-Driven HR Future

Submission Procedure

Researchers and practitioners are invited to submit on or before September 1, 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 September 15, 2024 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by November 3, 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, Harnessing AI to Transform Human Resources in Future Workplace Practices. 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

September 1, 2024: Proposal Submission Deadline
September 15, 2024: Notification of Acceptance
November 3, 2024: Full Chapter Submission
December 8, 2024: Review Results Returned
January 5, 2025: Final Acceptance Notification
January 12, 2025: Final Chapter Submission



Inquiries

Muhammad Asif Qureshi
Mohammad Ali Jinnah University, Karachi
qureshimuhammadasif@gmail.com



Classifications


Business and Management; Computer Science and Information Technology; Education; Life Sciences; Government and Law; Social Sciences and Humanities; Physical Sciences and Engineering
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