
The Adoption and Effect of Artificial Intelligence on Human Resources Management
- 392 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
The Adoption and Effect of Artificial Intelligence on Human Resources Management
About this book
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.
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Information
Table of contents
- Cover
- Title
- Chapter 1. Redefining HRM with Artificial Intelligence and Machine Learning
- Chapter 2. Employee Engagement in the New Normal: Artificial Intelligence as a Buzzword or a Game Changer?
- Chapter 3. Impact of Artificial Intelligence on Human Capital in Healthcare Sector Post-COVID-19
- Chapter 4. Healthcare Employee Engagement Using the Internet of Things: A Systematic Overview
- Chapter 5. Factor Affecting the Successful Digitalisation of Human Resources
- Chapter 6. Challenges and Path Ahead for Artificial Intelligence-aided Human Resource Management
- Chapter 7. Navigating the Paradigm Shift in HRM Practices Through the Lens of Artificial Intelligence: A Post-pandemic Perspective
- Chapter 8. Recruitment Analytics: Hiring in the Era of Artificial Intelligence
- Chapter 9. Artificial Intelligence in HRM: Role of EmotionalāSocial Intelligence and Future Work Skill
- Chapter 10. Implementation of Artificial Intelligence in Diagnosing Employees Attrition and Elevation: A Case Study on the IBM Employee Dataset
- Chapter 11. Reinventing Workplace Learning and Development: Envisaging the Role of AI
- Chapter 12. Artificial Intelligence-based People Analytics Transforming Human Resource Management Practices
- Chapter 13. Identification, Assessment and Optimisation of Key Impact Variables in People Analytics Using AI
- Index