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Journal of Engineering, Project, and Production Management, 2023, 13(1), 65-75
Nexus between Big Data and Green Intellectual Capital on Project Sustainability
1Assistant Professor, College of
Business Administration, University of Tabuk, Kingdom of Saudi Arabia.
E-mail: jamshidturi@gmail.com
Production Management
Received April 7, 2022; revised July 21, 2022; October 8, 2022; accepted October 10, 2022
Available online November 21, 2022
Abstract: Green Intellectual Capital (GIC) refers to environmentally friendly management styles for gaining a competitive advantage. In this study, the impact of GIC was assessed on the project’s sustainability while big data was taken as a moderating variable. Data was collected from the manufacturing industry and analyzed using structural equation modeling. Results indicated that GIC has a significant effect on project sustainability. In the same way, big data moderates the relationship between the GIC and project sustainability, except for the relational capital construct. The finding of the study recommends that GIC, with the support of big data, can be helpful for the completion of sustainable manufacturing projects. Moreover, the study recommends that elements of the relational capital construct need to be explored in-depth to assess their role in project sustainability. In the same way, the GIC may also need to be tested and applied in other industries and countries for the delivery of value to customers.
Keywords: Green intellectual capability, green relational capital, green human capital, green structural capital, big data, project sustainability. Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Requests for reprints and permissions at eppm.journal@gmail.com. Citation: Turi, J. A., Mughal, M. H. N., Khan, M. W. A., and Khan, A. (2023). Nexus between Big Data and Green Intellectual Capital on Project Sustainability. Journal of Engineering, Project, and Production Management, 13(1), 65-75.
DOI:
10.32738/JEPPM-2023-0007
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