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Sustainable knowledge management: Driving green technology innovation and long-term performance in construction firms
1 Department of Engineering Management, Hofstra University, New York, USA.
2 Department of Civil Engineering, Georgia Institute of Technology, Atlanta, USA.
2 Department of Civil Engineering, Georgia Institute of Technology, Atlanta, USA.
Review
International Journal of Science and Research Archive, 2024, 13(01), 933–945.
Article DOI: 10.30574/ijsra.2024.13.1.1774
Publication history:
Received on 11 August 2024; revised on 17 September 2024; accepted on 23 September 2024
Abstract:
This study aims to explore how sustainable knowledge management (SKM) influences green technology innovation (GTI) and enduring performance within construction companies. It further examines the impact of artificial intelligence (AI) on the relationship between SKM and green human capital (GHC). Data was collected through a survey of 309 construction companies in Pakistan, and hypothesis testing was conducted using AMOS-24 and SPSS PROCESS macro software. The results indicated that SKM positively affects both GTI and long-term performance. Key elements of green intellectual capital (GIC), such as green structural capital, green relational capital, and green human capital, were identified as important mediators in the relationship between SKM and GTI, as well as between SKM and sustainable performance. Additionally, AI was found to significantly affect the connection between SKM and GHC. These findings offer significant theoretical and practical insights for organizations and policymakers. The research contributes to the knowledge-based view of the firm by providing empirical evidence of how different GIC components mediate the relationships among SKM, GTI, and sustainable performance. Practically, the results suggest that investing in SKM and GIC can enhance GTI and long-term performance.
Keywords:
Sustainable knowledge management; Artificial intelligence; Green intellectual capital; Green technology innovation; Long-term performance; Knowledge-based perspective
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
