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Abstract
This research explores the dynamics of Human Resource Management (HRM) in facing the challenges of the contemporary era characterized by technological integration, environmental sustainability, and organizational adaptability. Through a review of scholarly articles, this research explores the relationship between innovative HRM practices and their impact on organizational performance, employees, and response to change. Technology integration in HRM is a focus of attention. The integration of Artificial Intelligence (AI) and Advanced Analytics is changing the paradigm of HRM processes by improving efficiency, decision-making, and employee experience. The review showed that technology enables personalization of HRM and has a positive impact on organizational performance. The importance of environmental sustainability is also reflected in the practice of Green Human Resource Management (GHRM). The integration of environmentally sound transformational leadership components, environmentally sound social capital, and environmentally sound values in GHRM has a positive correlation with pro-environmental behavior in the workplace. These findings encourage a sustainable organizational culture and support employee performance. The era of the Fourth Industrial Revolution (Industry 4.0) presents new challenges for HRM. The integration of advanced technologies shapes organizational dynamics and employee behavior. This research highlights the importance of adaptability in HRM to deal with rapid contextual changes. Supply chain resilience is becoming an important aspect of HRM, especially in the face of unexpected disruptions. HRM practices that encourage employee participation in supply chain resilience development have a positive impact on organizational resilience and operational performance. The COVID-19 pandemic crisis demands adaptive and innovative HRM practices. This research shows that adaptable HRM practices contribute to organizational readiness in the face of challenges and sudden changes. The results of this review provide a foundation for further research in understanding the relationship between HRM practices and organizational and employee performance. In-depth quantitative research is expected to test the hypotheses formulated and provide guidance for effective HRM strategies in the face of modern organizational dynamics.
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References
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- Ammirato, S., Felicetti, A. M., Linzalone, R., Corvello, V., & Kumar, S. (2023). Still our most important asset: A systematic review on human resource management in the midst of the fourth industrial revolution. Journal of Innovation and Knowledge, 8(3), 100403. https://doi.org/10.1016/j.jik.2023.100403
- Azizi, M. R., Atlasi, R., Ziapour, A., Abbas, J., & Naemi, R. (2021). Innovative human resource management strategies during the COVID-19 pandemic: A systematic narrative review approach. Heliyon, 7(6), e07233. https://doi.org/10.1016/j.heliyon.2021.e07233
- Chen, H., & Cui, X. (2022). Design and Implementation of Human Resource Management System Based on B/S Mode. Procedia Computer Science, 208, 442–449. https://doi.org/10.1016/j.procs.2022.10.062
- Gu, M., Zhang, Y., Li, D., & Huo, B. (2023). The effect of high-involvement human resource management practices on supply chain resilience and operational performance. Journal of Management Science and Engineering, 8(2), 176–190. https://doi.org/10.1016/j.jmse.2022.12.001
- Huang, X., Yang, F., Zheng, J., Feng, C., & Zhang, L. (2023). Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review, xxxx. https://doi.org/10.1016/j.apmrv.2023.04.004
- Kokkaew, N., Jokkaw, N., Peansupap, V., & Wipulanusat, W. (2022). Impacts of human resource management and knowledge management on non-financial organizational performance: Evidence of Thai infrastructure construction firms. Ain Shams Engineering Journal, 13(6), 101750. https://doi.org/10.1016/j.asej.2022.101750
- Nagy, Z., Gunay, B., Miller, C., Hahn, J., Ouf, M., Hobson, B. W., Abuimara, T., Bandurski, K., André, M., Lorenz, L., Crosby, S., Dong, B., Jiang, Z., Peng, Y., Favero, M., Park, J. Y., Nweye, K., Nojedehi, P., Stopps, H., … Vellei, M. (2023). Modeling the Workplace Pro-Environmental Behavior through Green Human Resource Management and Organizational Culture: Evidence from an Emerging Economy. Building and Environment, 110518. https://doi.org/10.1016/j.heliyon.2023.e19134
- Tandon, A., Dhir, A., Madan, P., Srivastava, S., & Nicolau, J. L. (2023). Green and non-green outcomes of green human resource management (GHRM) in the tourism context. Tourism Management, 98(April), 104765. https://doi.org/10.1016/j.tourman.2023.104765
- Votto, A. M., Valecha, R., Najafirad, P., & Rao, H. R. (2021). Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review. International Journal of Information Management Data Insights, 1(2), 100047. https://doi.org/10.1016/j.jjimei.2021.100047
References
Ahmed, R. R., Akbar, W., Aijaz, M., Channar, Z. A., Ahmed, F., & Parmar, V. (2023). The role of green innovation on environmental and organizational performance: Moderation of human resource practices and management commitment. Heliyon, 9(1), e12679. https://doi.org/10.1016/j.heliyon.2022.e12679
Alqudah, I. H. A., Carballo-Penela, A., & Ruzo-Sanmartín, E. (2022). High-performance human resource management practices and readiness for change: An integrative model including affective commitment, employees’ performance, and the moderating role of hierarchy culture. European Research on Management and Business Economics, 28(1), 100177. https://doi.org/https://doi.org/10.1016/j.iedeen.2021.100177
Ammirato, S., Felicetti, A. M., Linzalone, R., Corvello, V., & Kumar, S. (2023). Still our most important asset: A systematic review on human resource management in the midst of the fourth industrial revolution. Journal of Innovation and Knowledge, 8(3), 100403. https://doi.org/10.1016/j.jik.2023.100403
Azizi, M. R., Atlasi, R., Ziapour, A., Abbas, J., & Naemi, R. (2021). Innovative human resource management strategies during the COVID-19 pandemic: A systematic narrative review approach. Heliyon, 7(6), e07233. https://doi.org/10.1016/j.heliyon.2021.e07233
Chen, H., & Cui, X. (2022). Design and Implementation of Human Resource Management System Based on B/S Mode. Procedia Computer Science, 208, 442–449. https://doi.org/10.1016/j.procs.2022.10.062
Gu, M., Zhang, Y., Li, D., & Huo, B. (2023). The effect of high-involvement human resource management practices on supply chain resilience and operational performance. Journal of Management Science and Engineering, 8(2), 176–190. https://doi.org/10.1016/j.jmse.2022.12.001
Huang, X., Yang, F., Zheng, J., Feng, C., & Zhang, L. (2023). Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review, xxxx. https://doi.org/10.1016/j.apmrv.2023.04.004
Kokkaew, N., Jokkaw, N., Peansupap, V., & Wipulanusat, W. (2022). Impacts of human resource management and knowledge management on non-financial organizational performance: Evidence of Thai infrastructure construction firms. Ain Shams Engineering Journal, 13(6), 101750. https://doi.org/10.1016/j.asej.2022.101750
Nagy, Z., Gunay, B., Miller, C., Hahn, J., Ouf, M., Hobson, B. W., Abuimara, T., Bandurski, K., André, M., Lorenz, L., Crosby, S., Dong, B., Jiang, Z., Peng, Y., Favero, M., Park, J. Y., Nweye, K., Nojedehi, P., Stopps, H., … Vellei, M. (2023). Modeling the Workplace Pro-Environmental Behavior through Green Human Resource Management and Organizational Culture: Evidence from an Emerging Economy. Building and Environment, 110518. https://doi.org/10.1016/j.heliyon.2023.e19134
Tandon, A., Dhir, A., Madan, P., Srivastava, S., & Nicolau, J. L. (2023). Green and non-green outcomes of green human resource management (GHRM) in the tourism context. Tourism Management, 98(April), 104765. https://doi.org/10.1016/j.tourman.2023.104765
Votto, A. M., Valecha, R., Najafirad, P., & Rao, H. R. (2021). Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review. International Journal of Information Management Data Insights, 1(2), 100047. https://doi.org/10.1016/j.jjimei.2021.100047