HUMAN–AI INTEGRATION IN STRATEGIC HRM AND ITS IMPACT ON ORGANIZATIONAL PERFORMANCE
DOI:
https://doi.org/10.29121/granthaalayah.v14.i2.2026.6810Keywords:
Artificial Intelligence, Strategic Human Resource Management, Human–AI Integration, Organizational Performance, HR Analytics, Digital TransformationAbstract [English]
Applicability of Artificial Intelligence (AI) into the Human Resource Management (HRM) has significantly transformed the approach of companies in terms of strategy and management of the workforce. This research paper examines the importance of Human-AI fusion in Strategic HRM and its implications on the performance of organizations. The research aims to explore how AI-based HR solutions can support decision-making, improve productivity, and improve the overall performance of the organization. The research design was descriptive and analytical, and the primary data were collected among 120 respondents, including HR professionals, managers, and employees in the organizations which use AI-based HR solutions. To analyze the results of our work we applied frequency and percentage as the methods of analyzing the data that we have received in order to find out how many individuals were utilizing AI, and how they believed it influenced the outcomes of their work. The findings indicate that the majority of companies are currently implementing AI technologies when conducting HR activities such as recruitment, performance appraisal, and workforce analysis. The results also demonstrate that collaboration with AI can assist organizations to do better, make better decisions and work more efficiently. However, to succeed in the HRM area, AI requires the business to be prepared, employees to be educated, and technology to be handled in an ethical manner. The paper concludes that humans and AI may work together to enhance strategic HR activities and make a workplace more efficient, data-driven, and competitive.
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References
Baldegger, R., Caon, M., and Sadiku, K. (2020). Correlation Between Entrepreneurial Orientation and Implementation of AI in Human Resources Management (HRM). Technology Innovation Management Review. https://doi.org/10.22215/timreview/1348
Birdi, K., Clegg, C., Patterson, M., Robinson, A., Stride, C. B., Wall, T. D., and Wood, S. J. (2008). The Impact of Human Resource and Operational Management Practices on Company Productivity: A Longitudinal Study. Personnel Psychology, 61(3), 467–501. https://doi.org/10.1111/j.1744-6570.2008.00136.x
Boon, C., Eckardt, R., Lepak, D. P., and Boselie, P. (2018). Integrating Strategic Human Capital and Strategic Human Resource Management. The International Journal of Human Resource Management, 29(1), 34–67. https://doi.org/10.1080/09585192.2017.1380063
Chuang, C. H., and Liao, H. (2010). Strategic Human Resource Management in Service Context: Taking Care of Business by Taking Care of Employees and Customers. Personnel Psychology, 63(1), 153–196. https://doi.org/10.1111/j.1744-6570.2009.01165.x
Ericksen, J., and Dyer, L. (2005). Toward a Strategic Human Resource Management Model of High Reliability Organization Performance. The International Journal of Human Resource Management, 16(6), 907–928. https://doi.org/10.1080/09585190500120731
George, G., and Thomas, M. R. (2019). Integration of Artificial Intelligence in Human Resource.
Green, K. W., Wu, C., Whitten, D., and Medlin, B. (2006). The Impact of Strategic Human Resource Management on Firm Performance and HR Professionals' Work Attitude and Work Performance. The International Journal of Human Resource Management, 17(4), 559–579. https://doi.org/10.1080/09585190600581279
Halid, H., Yusoff, Y. M., and Somu, H. (2020, May). The Relationship Between Digital Human Resource Management and Organizational Performance. In First ASEAN Business, Environment, and Technology Symposium (ABEATS 2019) (96–99). Atlantis Press. https://doi.org/10.2991/aebmr.k.200514.022
Han, J. H., Kang, S., Oh, I. S., Kehoe, R. R., and Lepak, D. P. (2019). The Goldilocks Effect of Strategic Human Resource Management? Optimizing the Benefits of a High-Performance Work System Through the Dual Alignment of Vertical and Horizontal Fit. Academy of Management Journal, 62(5), 1388–1412. https://doi.org/10.5465/amj.2016.1187
Katou, A. A. (2017). How does Human Resource Management Influence Organisational Performance? An Integrative Approach-Based Analysis. International Journal of Productivity and Performance Management, 66(6), 797–821. https://doi.org/10.1108/IJPPM-01-2016-0004
Kramar, R. (2014). Beyond Strategic Human Resource Management: Is Sustainable Human Resource Management the Next Approach? The International Journal of Human Resource Management, 25(8), 1069–1089. https://doi.org/10.1080/09585192.2013.816863
Matsa, P., and Gullamajji, K. (2019). To Study Impact of Artificial Intelligence on Human Resource Management.
Nikandrou, I., and Papalexandris, N. (2007). The Impact of Manda Experience on Strategic HRM Practices and Organisational Effectiveness: Evidence from Greek Firms. Human Resource Management Journal, 17(2), 155–177. https://doi.org/10.1111/j.1748-8583.2007.00031.x
Stanton, P., and Nankervis, A. (2011). Linking Strategic HRM, Performance Management and Organizational Effectiveness: Perceptions of Managers in Singapore. Asia Pacific Business Review, 17(1), 67–84. https://doi.org/10.1080/13602381003790382
Zehir, C., Karaboğa, T., and Başar, D. (2019). The Transformation of Human Resource Management and Its Impact on Overall Business Performance: Big Data Analytics and AI Technologies in Strategic HRM. In Digital Business Strategies in Blockchain Ecosystems: Transformational Design and Future of Global Business (265–279). Springer International Publishing. https://doi.org/10.1007/978-3-030-29739-8_12
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Copyright (c) 2026 Chalumuri L N Prasad, Dr. Sunil Ganpatrao Losarwar

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