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AI in Talent Management: Transforming Recruitment, Retention, and Employee Engagement

Authors: Mandavi Sharma, Narendra Kumar

Published: 2025-01-07 18:14:14.634

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Abstract

This research paper looks at how talent management in Human Resources has become transformed by Artificial Intelligence with focus on recruitment, retention and employee engagement. In that regard, the paper considers a qualitative approach based on expert interviews and case studies to investigate how the two AI tools, such as machine learning and predictive analytics, are changing HR's ways of doing things. The paper identifies major fields where AI enhances the recruitment process, streamlines performance, personalizes employee engagement, and optimizes retention. Ethical concerns with regards to data privacy, bias in algorithms, and the need for transparency in handling these issues are discussed on how organizations are meeting challenges to ensure fairness in deploying AI. The findings indicate that AI lets HR departments make more data-based decisions, increase workforce satisfaction, and reduce turnover, an approach to talent management made more efficient and effective in its application.

Keywords

Retention Strategies, Machine Learning, Recruitment Automation, Algorithmic Bias, Data Privacy

References

  1. Aguinis, H., & O'Boyle, E. H. (2014). Star performers in twenty-first-century organizations. Journal of Business and Psychology, 29(3), 261-276.
  2. Armstrong, M. (2014). Armstrong's Handbook of Human Resource Management Practice. Kogan Page.
  3. Binns, A. (2018). The Ethics of Artificial Intelligence: A Roadmap. Harvard Business Review.
  4. Braverman, S. (2020). The Role of AI in Employee Engagement. Journal of Business Research, 109, 24-35.
  5. Byrne, J. (2019). AI’s Impact on Human Resources. MIT Sloan Management Review.
  6. Chui, M., & Manyika, J. (2020). AI, Automation, and the Future of Work. McKinsey & Company.
  7. Dastin, J. (2018). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters.
  8. Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change, 114, 254-280.
  9. Kumar, N. (2024). Innovative Approaches of E-Learning in College Education: Global Experience. E-Learning Innovations Journal, 2(2), 36–51. https://doi.org/10.57125/ELIJ.2024.09.25.03
  10. Dorota Jelonek, Narendra Kumar and Ilona Paweloszek(2024): Artificial Intelligence Applications in Brand Management, S I L E S I A N U N I V E R S I T Y O F T E C H N O L O G Y P U B L I S H I N G H O U S E SCIENTIFIC PAPERS OF SILESIAN UNIVERSITY OF TECHNOLOGY, Serial No 202, pp 153-170, http://managementpapers.polsl.pl/; http://dx.doi.org/10.29119/1641-3466.2024.202.10
  11. Narendra Kumar (2024): Research on Theoretical Contributions and Literature-Related Tools for Big Data Analytics, Sustainable Innovations in Management in the Digital Transformation Era: Digital Management Sustainability, Pages 281 – 288, January 2024, DOI 10.4324/9781003450238-28
  12. Gualtieri, M. (2019). AI in Human Resources: How It’s Changing Recruitment. Forrester Research.
  13. Hagel, J., & Brown, J. S. (2017). Artificial Intelligence in Human Resources. Deloitte Insights.
  14. Harrison, J. (2020). Artificial Intelligence in Talent Acquisition: Enhancing the Recruitment Process. Journal of Talent Management, 15(2), 57-68.
  15. He, Q., & Li, Z. (2020). Predictive Analytics for Employee Retention in the Digital Age. Journal of Strategic HRM, 12(1), 102-118.
  16. Holgersson, J. (2019). Algorithmic Bias in Hiring: A Review of Research and Practical Applications. Equality, Diversity and Inclusion: An International Journal, 38(6), 590-607.
  17. Kauffman, R. (2018). The Use of AI for Performance Evaluation and Continuous Feedback in HR. Journal of HR Analytics, 14(3), 29-42.
  18. Lacy, S., & Liao, J. (2020). AI’s Role in Shaping the Future of Employee Engagement. International Journal of HR Management, 18(1), 78-89.
  19. Pearson, R. (2017). Algorithmic Bias in Recruitment and Hiring. New York: Columbia University Press.
  20. Sharma, S. (2020). AI, Big Data, and Employee Retention: A Critical Analysis. Journal of Business Analytics, 16(4), 212-225.
  21. Wong, M., & Johnson, J. (2019). The Ethical Implications of AI in Human Resource Management. Journal of Business Ethics, 21(1), 37-49.
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How to Cite

Mandavi Sharma, Narendra Kumar, (2025-01-07 18:14:14.634). AI in Talent Management: Transforming Recruitment, Retention, and Employee Engagement. Abhi International Journal of Artificial Intelligence Applications in Management, Volume lBpPJ5OrRh2dLgwHVb1c, Issue 1.

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