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Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management

  • Kamalpreet Kaur Paposa , Pardeep Bawa Sharma and Shubham Suman
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Artificial Intelligence Enabled Management
This chapter is in the book Artificial Intelligence Enabled Management

Abstract

Purpose - Human resource management is a function that deals with one of the most important factors of production which is the men or human resources. With the augment of artificial intelligence taking its leap in every field, the area of HRM has also become increasingly driven by artificial intelligence. Thus, this article aims to shed light on the implementation of AI in HRM and the role AI plays in unlocking human potential. Design/methodology/approach - A systematic literature review approach has been adopted for this book chapter to ensure that the process of selecting the articles for the study is unbiased and based on certain set rules. The Scopus database has been referred to for identifying the relevant articles through keyword searches on AI and HRM in the Scopus database. Finally, a total of 33 articles have been taken into consideration for this book chapter. Findings - The literature analysis has revealed that companies are increasingly using AI to manage the different functions of HRM related to employee recruitment and selection, induction and placement, training and development, appraisals and feedback, and employee separation. The study has shown that AI has helped HR managers replace monotonous and redundant work and increased the efficiency of the HR department. Practical Implications - This book chapter will contribute to the literature development in the field of AI and HRM and can be helpful to HR managers to understand the role of AI in making HR practices efficient and economical. Research Limitation - The scope of this book chapter is limited to articles published in the Scopus database from 2012 to 2023. In the future, this book chapter can serve as a base to carry out empirical work in the study area.

Abstract

Purpose - Human resource management is a function that deals with one of the most important factors of production which is the men or human resources. With the augment of artificial intelligence taking its leap in every field, the area of HRM has also become increasingly driven by artificial intelligence. Thus, this article aims to shed light on the implementation of AI in HRM and the role AI plays in unlocking human potential. Design/methodology/approach - A systematic literature review approach has been adopted for this book chapter to ensure that the process of selecting the articles for the study is unbiased and based on certain set rules. The Scopus database has been referred to for identifying the relevant articles through keyword searches on AI and HRM in the Scopus database. Finally, a total of 33 articles have been taken into consideration for this book chapter. Findings - The literature analysis has revealed that companies are increasingly using AI to manage the different functions of HRM related to employee recruitment and selection, induction and placement, training and development, appraisals and feedback, and employee separation. The study has shown that AI has helped HR managers replace monotonous and redundant work and increased the efficiency of the HR department. Practical Implications - This book chapter will contribute to the literature development in the field of AI and HRM and can be helpful to HR managers to understand the role of AI in making HR practices efficient and economical. Research Limitation - The scope of this book chapter is limited to articles published in the Scopus database from 2012 to 2023. In the future, this book chapter can serve as a base to carry out empirical work in the study area.

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
https://doi.org/10.1515/9783111172408-008

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
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