The Evolution of HCM with Cloud and AI Integration

Authors

  • Harish Kumar Reddy Kommera

Keywords:

Human Capital Management (HCM), Cloud Computing, Artificial Intelligence (AI), Workforce Analytics, Employee Engagement.

Abstract

The landscape of Human Capital Management (HCM) has undergone significant transformation with the advent of cloud computing and artificial intelligence (AI). This integration has revolutionized HR practices, enhancing scalability, flexibility, and data-driven decision-making. Cloud-based HCM solutions provide a robust infrastructure for deploying AI-driven functionalities, enabling organizations to optimize talent acquisition, performance management, learning and development, and workforce analytics. This paper explores the evolution of HCM through the synergistic integration of cloud and AI technologies, highlighting key advancements, benefits, and challenges. Through a comprehensive literature review and analysis of case studies from diverse industries, the study demonstrates how cloud and AI integration fosters enhanced employee engagement, operational efficiency, and strategic workforce planning. Additionally, the research addresses critical concerns such as data security, ethical AI usage, and change management. Best practices for implementing cloud and AI-integrated HCM systems are discussed, emphasizing strategic planning, stakeholder engagement, and continuous evaluation. The findings underscore the pivotal role of cloud and AI in shaping the future of HCM, offering strategic insights for organizations aiming to leverage these technologies to build agile, efficient, and high-performing workforces.

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References

Becker, B. E., & Huselid, M. A. (1998). "High Performance Work Systems and Firm Performance: A Synthesis of Research and Managerial Implications." Research in Personnel and Human Resources Management, 16, 53-101.

Boxall, P., & Purcell, J. (2016). Strategy and Human Resource Management. Palgrave Macmillan.

Cascio, W. F., & Boudreau, J. W. (2016). "The Search for Global Competence: From International HR to Talent Management." Journal of World Business, 51(1), 103-114.

Dessler, G. (2020). Human Resource Management. Pearson Education.

Deloitte. (2020). "2020 Global Human Capital Trends: The Social Enterprise in a World Disrupted." Deloitte Insights.

Gallup. (2017). "State of the American Workplace." Gallup.

Gudimetla, S., & Kotha, N. (2019). SECURITY IN THE SKY: THE ROLE OF CLOUD ENGINEERS IN SAFEGUARDING DATA. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 10(2), 1992-2001. https://doi.org/10.61841/turcomat.v10i2.14729

Kavanagh, M. J., & Johnson, R. D. (2017). Human Resource Information Systems: Basics, Applications, and Future Directions. Sage Publications.

Kaufman, B. E. (2015). Evolution of Strategic HRM through Two Founding Books: A 30th Anniversary Perspective on Guest and Wright's Human Resource Management. Human Resource Management Review, 25(4), 325-335.

Gudimetla, S., & Kotha, N. (2022). Layered Defenses: Securing Windows Servers and VMware Virtual Machines. International Journal on Recent and Innovation Trends in Computing and Communication, 10(7), 117-123. https://doi.org/10.17762/ijritcc.v10i7.11007

Keller, S., & McDermott, C. (2021). "Leveraging AI and Machine Learning for Strategic Human Capital Management." Journal of Business Research, 134, 696-707.

Noe, R. A., Hollenbeck, J. R., Gerhart, B., & Wright, P. M. (2017). Fundamentals of Human Resource Management. McGraw-Hill Education.

Society for Human Resource Management (SHRM). (2021). "2021 HR Technology Survey." SHRM.

Gudimetla, S. (2019). Disaster Recovery on Demand: Ensuring Continuity in the Face of Crisis. NEUROQUANTOLOGY, 17(12), 130-137. https://doi.org/ 10.48047/nq.2019.17.12.NQ19126

Van Iddekinge, C. H., Raymark, P. H., & Richardson, D. B. (2010). "The Role of Job Analysis in Personnel Selection." Personnel Psychology, 63(3), 583-617.

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Published

23.02.2024

How to Cite

Harish Kumar Reddy Kommera. (2024). The Evolution of HCM with Cloud and AI Integration. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 851–859. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7029

Issue

Vol. 12 No. 17s (2024)

Section

Research Article

License

Creative Commons License

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