Sustainable knowledge management: Driving green technology innovation and long-term performance in construction firms

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.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2024-09-26
DOI
https://doi.org/10.30574/ijsra.2024.13.1.1774
Citations
4
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
1.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable knowledge management: Driving green technology innovation and long-term performance in construction firms

Ruchit Parekh, Sophia Wright
4 citations
International Journal of Science and Research Archive
Construction Project Management and Performance
1.96
article

Sustainable knowledge management: Driving green technology innovation and long-term performance in construction firms

Ruchit Parekh, Sophia Wright
article en
4 citations

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.

International Journal of Science and Research ArchiveVol. 13(1)
Openalex Percentile: Top 13%
Construction Project Management and Performance
1.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.