Fr. 131.00

Impact of Artificial Intelligence on Data-Driven Decision Making in HR for Revolutionizing Organizational Growth

English · Hardback

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Description

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In this era of transition from traditional, people-centric Human Resources (HR) to data-driven and unbiased approaches, this collection not only highlights the revolutionary potential of Artificial Intelligence (AI) but also addresses the challenges and ethical considerations of AI deployment in the workplace.
Impact of Artificial Intelligence on Data-Driven Decision Making in HR for Revolutionizing Organizational Growth explores the transformative role of artificial intelligence in reshaping HR, recruitment, and organisational culture. As AI becomes increasingly embedded in organisational systems, it offers unprecedented opportunities to enhance HR operations--from advanced analytics that predict employee behaviours and trends, to optimising structures that foster innovation and growth.
By providing a comprehensive overview of AI's impact on HR, this insightful volume offers HR leaders, C-suite executives, organisational strategists, and academics the tools to harness data-driven decision-making for organisational growth in a rapidly changing world.


About the author










Himanshu Rai, Director, Indian Institute of Management (IIM) Indore, India.
Arti Gupta, Assistant Professor, Department of Management Studies, J.C. Bose University of Science and Technology, YMCA Faridabad, India.
Rohit Bansal, Professor, Department of Management Studies, Vaish College of Engineering, Rohtak, India.


Product details

Assisted by Rohit Bansal (Editor), Rohit (Vaish College of Engineering Bansal (Editor), Arti Gupta (Editor), Arti (J.C. Bose University of Science and Technology YMCA Faridabad Gupta (Editor), Himanshu Rai (Editor), Himanshu (Indian Institute of Management Indore Rai (Editor)
Publisher Emerald Publishing Limited
 
Languages English
Product format Hardback
Released 01.11.2025
 
EAN 9781836629832
ISBN 978-1-83662-983-2
No. of pages 312
Dimensions 152 mm x 229 mm x 21 mm
Subjects Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries
Social sciences, law, business > Business > Management

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