Green Human Resource Capabilities and ESG-Aligned Circular Economy Practices for Sustainable Supply Chain Management
DOI:
https://doi.org/10.64229/eehveq08Keywords:
Green Human Resource Management, Organizational Learning, Circular Economy, Sustainable Development, Capability DevelopmentAbstract
This study explores the development of green human resource capabilities to facilitate ESG-aligned circular economy practices within sustainable supply chain management, addressing the critical gap between workforce competency development and environmental sustainability implementation. Using an integrated framework of organizational learning theories with sustainability practices, however, an examination would be made into capability development mechanisms by systematic literature review and practical implementation strategies. Organizations creating integrated green HR capabilities reflect stronger environmental performance while engaging stakeholder's vis-a-vis organizational learning capacity. The study identifies major competency dimensions and implementation pathways for sustainable transformation. This research provides organizations with operational frameworks to develop human capital to support circular economy practices, thus guiding HR professionals and sustainability proponents to develop learning and development programs. The study extends new knowledge linking organizational learning and environmental sustainability through human resource capability development, thereby filling a theoretical gap in sustainable supply chain management literature.
References
[1]Jia, S., & Shang, H. (2024, January 5). Utilizing green financing in developing green HRM resources for carbon neutrality: Presenting multidimensional perspectives of China. Environmental Science and Pollution Research, 31(6), 8798-8811. https://doi.org/10.1007/s11356-023-31560-y
[2]Ali, Z.A., Zain, M., Hasan, R., Al Salman, H., Alkhamees, B.F., & Almisned, F.A. (2024, May 22). Circular Economy Advances with Artificial Intelligence and Digital Twin: Multiple-Case Study of Chinese Industries in Agriculture. Journal of the Knowledge Economy, 16(1), 2192-2228. https://doi.org/10.1007/s13132-024-02101-w
[3]Ali, Z.A., Zain, M., Hasan, R., Pathan, M.S., AlSalman, H., & Almisned, F.A. (2025, May 5). Digital twins: Cornerstone to circular economy and sustainability goals: Digital twins: cornerstone to circular economy and sustainability goals. Environment, Development and Sustainability, 1-42. https://doi.org/10.1007/s10668-025-06221-4
[4]da Silva, A.D.S., da Silva, W.V., da Silva, L.S.C.V., da Cruz, N.J.T., Su, Z., & da Veiga, C.P. (2024, May 22). Interdependence between supply chains and sustainable development: Global insights from a systematic review. Review of Managerial Science, 19(3), 931-962. https://doi.org/10.1007/s11846-024-00770-0
[5]Ronaghi, M.H. (2022, September 16). The influence of artificial intelligence adoption on circular economy practices in manufacturing industries. Environment, Development and Sustainability, 25(12), 14355-14380. https://doi.org/10.1007/s10668-022-02670-3
[6]Castro-Lopez, A., Entrialgo, M., Liao, C.T., & Santos-Vijande, M.L. (2024, November 29). Towards circular economy through innovation: The role of entrepreneurial orientation and human resource management. International Entrepreneurship and Management Journal, 21(1). https://doi.org/10.1007/s11365-024-01032-x
[7]Dreyer-Gibney, K., Coughlan, P., Coghlan, D., Wu, S., Bello-Dambatta, A., Dallison, R., McNabola, A., Novara, D., Rafique, A., Schestak, I., Spriet, J., Walker, N., & Williams, P. (2024, March 20). Responding to the UN sustainability goals in transdisciplinary partnership through network action learning. Environment, Development and Sustainability, 26(12), 31757-31788. https://doi.org/10.1007/s10668-024-04664-9
[8]El Manzani, Y., & El Idrissi, M. (2025, May 27). Big data analytics capabilities and green innovation: A meta-analysis and necessary condition analysis. Management Review Quarterly, 1-38. https://doi.org/10.1007/s11301-025-00530-8
[9]Jiao, J., Zhang, X., & Tang, Y. (2020, August). What factors determine the survival of green innovative enterprises in China? -- A method based on fsQCA. Technology in Society, 62, 101314. https://doi.org/10.1016/j.techsoc.2020.101314
[10]Mendes, J.A.J., Oliveira, A.Y., Santos, L.S., Gerolamo, M.C., & Zeidler, V.G.Z. (2024, May 23). A theoretical framework to support green agripreneurship avoiding greenwashing. Environment, Development and Sustainability, 1-57. https://doi.org/10.1007/s10668-024-04965-z
[11]Mendes, J.A.J., Oliveira, A.Y., Santos, L.S., Gerolamo, M.C., & Zeidler, V.G.Z. (2024, May 23). A theoretical framework to support green agripreneurship avoiding greenwashing. Environment, Development and Sustainability, 1-57. https://doi.org/10.1007/s10668-024-04965-z
[12]Al-Husain, R.A., Jasim, T.A., Mathew, V., Al-Romeedy, B.S., Khairy, H.A., Mahmoud, H.A., Liu, S., El-Meligy, M.A., & Alsetoohy, O. (2025, July 7). Optimizing sustainability performance through digital dynamic capabilities, green knowledge management, and green technology innovation. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-04912-6
[13]Alkathiri, N.A., Said, F.B., Meyer, N., & Soliman, M. (2024, June 18). Knowledge management and sustainable entrepreneurship: A bibliometric overview and research agenda. Journal of Innovation and Entrepreneurship, 13(1). https://doi.org/10.1186/s13731-024-00387-3
[14]Ali, S.S., Kaur, R., & Khan, S. (2023, January 21). Identification of innovative technology enablers and drone technology determinants adoption: A graph theory matrix analysis framework. Operations Management Research, 16(2), 1-23. https://doi.org/10.1007/s12063-023-00346-3
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Viraj P. Tathavadekar (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.