Abstract
Sustainable supply chain management is a crucial 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.
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.
Original language | English |
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Pages (from-to) | 806-816 |
Number of pages | 11 |
Journal | Journal of Cleaner Production |
Volume | 162 |
Early online date | 7 Jun 2017 |
DOIs | |
Publication status | Published - 20 Sep 2017 |
Bibliographical note
Full text embargoed ends 08/07/2018Keywords
- Knowledge management
- Sustainable supply chain management
- interpretive structural modelling
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Profiles
-
Ming Lim
- Faculty Research Centre for Business in Society - Professor of Supply Chain and Operations Management
Person: Teaching and Research