The adoption and effect of artificial intelligence on human resources management /
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...
| Other Authors: | , , , , |
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| Language: | English |
| Published: |
Bingley, U.K. :
Emerald Publishing Limited,
2023.
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| Series: | Emerald studies in finance, insurance, and risk management ;
vol. 7, part A |
| Subjects: | |
| Online Access: | https://doi.org/10.1108/9781803820279 |
Table of 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.