The adoption and effect of artificial intelligence on human resources management / edited by Pallavi Tyagi (Amity University, India), Naveen Chilamkurti (La Trobe University, Australia), Simon Grima (University of Malta, Malta), Kiran Sood (Chitkara University, India), and B. Balamurugan (Shiv Nadar University, India).

Format:

Book

Contributor:

Tyagi, Pallavi, editor.

Chilamkurti, Naveen, 1974- editor.

Grima, Simon, editor.

Sūda, Kiraṇa, editor.

Balusamy, Balamurugan, editor.

Series:

Emerald studies in finance, insurance, and risk management ; Volume 7

Emerald studies in finance, insurance, and risk management ; vol. 7, part A

Language:

English

Subjects (All):

Personnel management--Data processing.

Personnel management.

Artificial intelligence.

Physical Description:

1 online resource (313 pages)

Place of Publication:

Bingley, England : Emerald Publishing Limited, [2023]

Summary:

Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management. The traditional framework of Human Resource Management (HRM) primarily consists of four functions: Human Resource Planning, Recruitment and Selection, Training and Development and Performance Management Systems which help businesses in hiring, motivating and retaining employees. The introduction of Artificial Intelligence (AI) has changed all of these aspects. The Adoption and Effect of Artificial Intelligence on Human Resources Management Series sets out a blended approach towards different functions of HRM and AI, reflecting upon: HR data privacy; data security; diversity and inclusion using AI; and sustainable AI-HR practices. This book is ideal for HR managers, senior managers, researchers, and students planning a career in this field.

Contents:

Chapter 1. Redefining hrm with artificial intelligence and machine learning / Shivani agarwal, Apoorv Gupta, and Puja Roshani

Chapter 2. Employee engagement in the new normal: Artificial intelligence as a buzzword or a game changer? / Akansha Mer and Avantika Srivastava

Chapter 3. Impact of artificial intelligence on human capital in healthcare sector during COVID times / Amrinder Singh, Geetika Madaan, Swapna H. R, and Anuj Kumar

Chapter 4. Healthcare employee engagement using the internet of things: A systematic overview / Pinki Paul and Balgopal Singh

Chapter 5. The effect of factor affecting successful digitalization of human resources / Rakesh Shirase, Priyanka Chhibber, and Amar P. Narkhede

Chapter 6. Challenges and path ahead for artificial intelligence aided human resource management / Lalita Mohan Mohapatra, A. V. S. Kamesh, and Jayashree Roul

Chapter 7. Navigating the paradigm shift in hrm practices through the lens of artificial intelligence: A post pandemic perspective / Akansha Mer and Amarpreet Singh Virdi

Chapter 8. Recruitment analytics: Hiring in the era of artificial intelligence / Uma V.R, V. Ilango, and Deepika Upadhyay

Chapter 9. Artificial intelligence in HRM: Role of emotional-social intelligence and future work skill / Arjita Singh and Tanya Chouhan

Chapter 10. Implementation of artificial intelligence in diagnosing employees attrition and elevation: A case study on the IBM employee dataset / Saurabh Sharma and Romica Bhat

Chapter 11. Reinventing workplace learning and development: Envisaging the role of ai / Mohammad Faraz Naim

Chapter 12. Artificial intelligence-based people analytics transforming human resource management practices / Anjali Rai and Lata Bajpai Singh

Chapter 13. Identification, assessment and optimisation of key impact variables in people analytics using ai / Jada Kameswari, Hemant Palivela, Sreekanth Settur, and Poonam Solanki.

Notes:

Includes bibliographical references and index.

Print version record.

ISBN:

9781803820279

1803820276

9781803820293

1803820292