Lim, M. K. , Tseng, M.-L., Hua Tan, K. and Dat Bui, T. (2017) Knowledge management in sustainable supply chain management: improving performance through an interpretive structural modelling approach. Journal of Cleaner Production, 162, pp. 806-816. (doi: 10.1016/j.jclepro.2017.06.056)
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Abstract
Sustainable supply chain management is one vital element in achieving competitive advantage in business management and knowledge management is seen to be one key enabler. However, in previous studies the interrelationships between knowledge management and sustainable supply chain management are still under-explored. This study proposes a set of measures and interpretive structural modelling methods to identify the driving and dependence powers in sustainable supply chain management within the context of knowledge management, so as to improve the performance of firms from the textile industry in Vietnam. The research result indicated that learning organisation, information/knowledge sharing, joint knowledge creation, information technology and knowledge storage are amongst the highest driving and dependence powers. These attributes are deemed to be most-effective to enhance the performance of firms. To further enhance the value of this research, theoretical and managerial implications are also discussed in this study.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Lim, Professor Ming |
| Authors: | Lim, M. K., Tseng, M.-L., Hua Tan, K., and Dat Bui, T. |
| College/School: | College of Social Sciences > Adam Smith Business School > Management |
| Journal Name: | Journal of Cleaner Production |
| Publisher: | Elsevier |
| ISSN: | 0959-6526 |
| Published Online: | 19 June 2017 |
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