00
Days
00
Hrs
00
Min
00
Sec
Submit Your Paper

Analysing e-HRM Practices for Sustainable Development in the Field of HR with the Role of Artificial Intelligence

Authors

Ms. Suba D, Ph.D

Research Scholar, Department of Human Resource Management, St.Joseph’s College (Autonomous), Tiruchirappalli – 620 002, Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India & Sr. Faculty Associate, XIME Chennai. (IN)

Dr Arockiam Kulandai

Associate Professor, Dept of Human Resource Management, St. Joseph's College (Autonomous), Affiliated to Bharathidasan University Tiruchirapalli, Tamil Nadu, India (IN)

Mr. Vinoth D, Ph.D

Research Scholar, Division of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore, 641114, Tamil Nadu, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2025.1408000016

Subject Category: Automation in HRM

Volume/Issue: 14/8 | Page No: 123-129

Publication Timeline

Submitted: 2025-08-23

Published: 2025-08-23

Abstract

Abstract: In recent years, human resource management has undergone a major shift, with many organizations adopting digital platforms to manage people-related functions more efficiently. This study looks into how electronic Human Resource Management (e-HRM) practices have not only digitized traditional HR activities but also paved the way for newer technologies—particularly Artificial Intelligence (AI) and Emotional Intelligence (EI)—to take root. Through a careful review of academic literature published between 2004 and 2024, the paper explores how AI tools, when embedded within e-HRM systems, streamline everyday tasks such as hiring, training, payroll, and performance tracking. More importantly, it discusses how AI is beginning to learn and mimic human emotions through tools like chatbots, facial recognition software, and natural language processing. These emotion-aware systems help HR departments connect with employees in more meaningful ways, especially in remote or hybrid work settings. By combining operational efficiency with emotional insight, e-HRM is becoming a powerful tool for creating sustainable and human-centered workplaces. The study offers a fresh perspective on how HR is evolving in the age of smart technologies, emphasizing the need for a balanced approach that values both speed and sensitivity.

Keywords

Emotional Intelligence, Artificial Intelligence, Business Operations, e-HRM Practices, HRM

Downloads

References

1. Ahmed, D. O. (2018). AI in HR. Published in North campus, University of Kashmir. [Google Scholar] [Crossref]

2. Agrawal, A., Gans, J., & Goldfarb, A. (2017). What to expect from artificial intelligence. MIT Sloan Management Review. Zavadskaya, A. (2017). Artificial Intelligence in Finance: Forecasting Stock Market Returns Using Artificial Neural Networks. [Google Scholar] [Crossref]

3. Bostrom, N. (2018). Strategic implications of openness in ai development. In Artificial Intelligence Safety and Security. Chapman and Hall/CRC. [Google Scholar] [Crossref]

4. Burrell, P. R., & Folarin, B. O. (1997). The impact of neural networks in finance. Neural Computing & Applications, 6(4), 193-200. [Google Scholar] [Crossref]

5. Beck, M., & Libert, B. (2017). The rise of AI makes emotional intelligence more important. Harvard Business Review, 15. [Google Scholar] [Crossref]

6. Bahrammirzaee, A. (2010). A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems. Neural Computing and Applications, 19(8), 1165-1195. [Google Scholar] [Crossref]

7. Cooper, R. K. (1997). Applying emotional intelligence in the workplace. Training & development, 51(12), 31-39. [Google Scholar] [Crossref]

8. Chang, J. W., Sy, T., & Choi, J. N. (2012). Team emotional intelligence and performance: Interactive dynamics between leaders and members. Small Group Research, 43(1), 75-104. [Google Scholar] [Crossref]

9. Cellan-Jones, R. (2014). Stephen Hawking warns artificial intelligence could end mankind. BBC news, 2(2014), 10-10. [Google Scholar] [Crossref]

10. Chaturvedi, V. Understanding The Strategic Imperative Role Of Artificial Intelligence In HRM: Unleashing The Power Of Digital Hr As A New Wave In Innovative HRM. ABS International Journal of Management, 51. [Google Scholar] [Crossref]

11. Cannella, J. (2018). Artificial Intelligence in marketing. Unpublished Honors Thesis for Barrett, Arizona: The Honors College at Arizona State University. [Google Scholar] [Crossref]

12. De Stefano, V. (2019). ‘Negotiating the Algorithm’: Automation, Artificial Intelligence and Labour Protection. Artificial Intelligence and Labour Protection (May 16, 2018). Comparative Labor Law & Policy Journal, 41(1). [Google Scholar] [Crossref]

13. Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1),24-42. [Google Scholar] [Crossref]

14. Frankel, S. (2022). Starting a conversation: An introduction. In S. Frankel (Ed.), Establishing Child Centred Practice in a Changing World, Part A (pp. 1–7). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80117-406-020221001 [Google Scholar] [Crossref]

15. Goleman, D., & Boyatzis, R. (2017). Emotional intelligence has 12 elements. Which do you need to work on. Harvard Business Review, 84(2), 1-5. [Google Scholar] [Crossref]

16. Githui, I. F. (2019). Influence Of Artificial Intelligence On Marketing Strategy Among Mobile Telephony Operators In Kenya (Doctoral dissertation, University Of Nairobi). [Google Scholar] [Crossref]

17. Huang, M.-H., Rust, R., & Maksimovic, V. (2019). The feeling economy: Managing in the next generation of artificial intelligence(Ai). California Management Review, 61(4), 43–65. https://doi.org/10.1177/0008125619863436 [Google Scholar] [Crossref]

18. Joh, E. E., & White, W. B. (2018). How We Can Apply AI, and Deep Learning to our HR Functional Transformation and Core Talent Processes?. [Google Scholar] [Crossref]

19. Jia, Q., Guo, Y., Li, R., Li, Y., & Chen, Y. (2018, December). A conceptual artificial intelligence application framework in human resource management. In Proceedings of the International Conference on Electronic Business (pp. 106-114). [Google Scholar] [Crossref]

20. Kshetri, N. (2020). Artificial intelligence in human resource management in the Global South. [Google Scholar] [Crossref]

21. Martınez-Miranda, J., & Aldea, A. (2005). Emotions in human and artificial intelligence. Computers in Human Behavior, 21(2), 323-341. [Google Scholar] [Crossref]

22. Myllymäki, D. (2021). Beyond the ‘e-’ in e-HRM: Integrating a sociomaterial perspective. The International Journal of Human Resource Management, 32(12), 2563–2591. https://doi.org/10.1080/09585192.2021.1913624 [Google Scholar] [Crossref]

23. Marques, J. F., Allevato, E., & Holt, S. (2008). Linking quality management and emotional intelligence to workplace spirituality. Organization Development Journal, 26(4), 81-88. [Google Scholar] [Crossref]

24. Mathiason, G., Cerilli, J., Goodwin, V., Gordon, P., Kennedy, P., Lee, T., ... & Schuman, I. (2014). The transformation of the workplace through robotics, artificial intelligence, and automation. Littler Rep. [Google Scholar] [Crossref]

25. Nadler, R., Carswell, J. J., & Minda, J. P. (2020). Online Mindfulness Training Increases Well-Being, Trait Emotional Intelligence, and Workplace Competency Ratings: A Randomized Waitlist-Controlled Trial. Frontiers in Psychology, 11, 255. [Google Scholar] [Crossref]

26. Olena, T., Artem, S., Nataliia, L., Hanna, A., & Pavlo, C. (2024). Artificial intelligence applications in military logistic. System Technologies, 5(154), 164–171. https://doi.org/10.34185/1562-9945-5-154-2024-17 [Google Scholar] [Crossref]

27. Rattan, P., Penrice, D. D., & Simonetto, D. A. (2022). Artificial intelligence and machine learning: What you always wanted to know but were afraid to ask. Gastro Hep Advances, 1(1), 70–78. https://doi.org/10.1016/j.gastha.2021.11.001 [Google Scholar] [Crossref]

28. Rosete, D., & Ciarrochi, J. (2005). Emotional intelligence and its relationship to workplace performance outcomes of leadership effectiveness. Leadership & Organization Development Journal. [Google Scholar] [Crossref]

29. Sharada, G., & Ramanaiah, O. B. V. (2010). An artificial intelligence based neuro-fuzzy system with emotional intelligence. International Journal of Computer Applications, 1(13), 74-79. [Google Scholar] [Crossref]

30. Schutte, N. S., & Loi, N. M. (2014). Connections between emotional intelligence and workplace flourishing. Personality and Individual Differences, 66, 134-139. [Google Scholar] [Crossref]

31. Saner, M., & Wallach, W. (2015). Technological unemployment, AI, and workplace standardization: The convergence argument. Journal of Evolution and Technology, 25(1), 74-80. [Google Scholar] [Crossref]

32. Strohmeier, S. (2007). Research in e-HRM: Review and implications. Human Resource Management Review, 17(1), 19–37. https://doi.org/10.1016/j.hrmr.2006.11.002 [Google Scholar] [Crossref]

33. Srivastava, Y., Ganguli, S., Suman Rajest, S., & Regin, R. (2022). Smart hr competencies and their applications in industry 4. 0. In P. Kumar, A. J. Obaid, K. Cengiz, A. Khanna, & V. E. Balas (Eds.), A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (pp. 293–315). Springer International Publishing. https://doi.org/10.1007/978-3-030-76653-5_16 [Google Scholar] [Crossref]

34. Sekhri, A., & Cheema, D. J. (2019). The new era of HRM: AI reinventing HRM functions. International Journal of Scientific Research and Review, 7(3). [Google Scholar] [Crossref]

35. Shahid, M. Z., & Li, G. (2019). Impact of Artificial Intelligence in Marketing: A Perspective of Marketing Professionals of Pakistan. Global Journal of Management And Business Research. [Google Scholar] [Crossref]

36. Talib, M. A., Majzoub, S., Nasir, Q., & Jamal, D. (2021). A systematic literature review on hardware implementation of artificial intelligence algorithms. The Journal of Supercomputing, 77(2), 1897–1938. https://doi.org/10.1007/s11227-020-03325-8 [Google Scholar] [Crossref]

37. Tadapaneni, N. R. (2020). Artificial Intelligence in Finance and Investments. Artificial Intelligence, 9(5). [Google Scholar] [Crossref]

38. Wang, T., & Lin, J. (2018). Research on the Influence of Artificial Intelligence on Human Resource Management Teaching and Work. DEStech Transactions on Social Science, Education and Human Science, (ichae). [Google Scholar] [Crossref]

39. Yabanci, O. (2020). From human resource management to intelligent human resource management: a conceptual perspective. Human-Intelligent Systems Integration, 1-9. [Google Scholar] [Crossref]

40. Khosravi, P., Rezvani, A., & Ashkanasy, N. M. (2020). Emotional intelligence: A preventive strategy to manage destructive influence of conflict in large scale projects. International Journal of Project Management, 38(1), 36-46. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles

© 2026 IJLTEMAS · RSIS International. All rights reserved. ISSN 2278-2540.