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HR Analytics
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The objective of this book is to probe into the dynamic and emerging field of HR Analytics, explaining its principles, methodologies, and applications in understanding and optimizing human capital management. Targeted at students, academicians, professionals, and researchers, in the fields of human resources, organizational psychology, and business management, this book aims to provide a comprehensive overview of HR Analytics, from its theoretical foundations to practical implementation strategies. By highlighting the transformative potential of leveraging data to inform HR practices,
the book seeks to inspire students in the adoption of HR Analytics tools and techniques across different HR functions. Moreover, with a goal to incorporate the latest GenAI, AI and Machine Learning influence in the HR domain, specific topic(s) are curated for the benefit of students and academicians.
Key Features:
– Comprehensive topical coverage with case studies related to various HR Analytics functions.
– Bridge the gap between theory and applications, using appropriate tools like Excel, Power BI, Python, etc.
– Step-by-step explanation of various basic concepts like connecting to data sources, importing & transforming data, etc.
– Contains important and latest topics such as Organization Network Analytics, Emotion and Sentiment Analysis and Gen
– AI Applications, and Advanced HR Analytics using Machine Learning and AI
The objective of this book is to probe into the dynamic and emerging field of HR Analytics, explaining its principles, methodologies, and applications in understanding and optimizing human capital management. Targeted at students, academicians, professionals, and researchers, in the fields of human resources, organizational psychology, and business management, this book aims to provide a comprehensive overview of HR Analytics, from its theoretical foundations to practical implementation strategies. By highlighting the transformative potential of leveraging data to inform HR practices,
the book seeks to inspire students in the adoption of HR Analytics tools and techniques across different HR functions. Moreover, with a goal to incorporate the latest GenAI, AI and Machine Learning influence in the HR domain, specific topic(s) are curated for the benefit of students and academicians.
Key Features:
– Comprehensive topical coverage with case studies related to various HR Analytics functions.
– Bridge the gap between theory and applications, using appropriate tools like Excel, Power BI, Python, etc.
– Step-by-step explanation of various basic concepts like connecting to data sources, importing & transforming data, etc.
– Contains important and latest topics such as Organization Network Analytics, Emotion and Sentiment Analysis and Gen
– AI Applications, and Advanced HR Analytics using Machine Learning and AI
About Author
Shruthi J Mayur brings over two decades of experience in academics and industry. She holds dual master’s degrees in Business Administration and Human Resource Management. She has conducted over 150 hours of Management Development Programs (MDPs) for PSUs and private organizations. A seasoned researcher, she co-authored a book chapter on ‘Active Aging: Engaging the Aged’ in the book Management Practices for Engaging a Diverse Workforce: Tools to Enhance Workplace Culture published by CRC Press.
Satwik Upadhyay has 10+ years of experience spanning industry and educational institutions. He has published several research papers in journals like International Journal of Educational Management, International Journal of Innovation Science, and Sustainability. He also authored a book chapter on ‘Organizational Resilience’ in the book Being the Beacon of Hope: Creating New Pathways for Business and Society published by Orient Blackswan.
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