The Adoption and Effect of Artificial Intelligence on Human Resources Management
Emerald Publishing Limited (Verlag)
978-1-80382-028-6 (ISBN)
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.
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
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
| Erscheinungsdatum | 13.02.2023 |
|---|---|
| Reihe/Serie | Emerald Studies in Finance, Insurance, And Risk Management |
| Verlagsort | Bingley |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 565 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Planung / Organisation |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-80382-028-4 / 1803820284 |
| ISBN-13 | 978-1-80382-028-6 / 9781803820286 |
| Zustand | Neuware |
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