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.
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
Pallavi Tyagi is an Associate Professor in the area of human resource management at Amity College of Commerce and Finance, Amity University Uttar Pradesh, Noida, India
Naveen Chilamkurti is a Professor and Head of the Cybersecurity discipline at La Trobe University, Melbourne, Australia
Simon Grima is the the Deputy Dean of the Faculty of Economics, Management and Accountancy, Associate Professor and the Head of the Department of Insurance and Risk Management, University of Malta and a Professor at the University of Latvia, Faculty of Business Management and Economics, Latvia
Kiran Sood is a Professor in Chitkara Business School, Chitkara University, Punjab, India Dr. Balamurugan Balusamy is Associate Dean - Student Engagement at Shiv Nadar University, India
Dr. Balamurugan Balusamy is Associate Dean - Student Engagement at Shiv Nadar University, India
Biežāk uzdotie jautājumi par e-grāmatām