Knowledge management in sustainable supply chain management: improving performance through an interpretive structural modelling approach

Ming Lim, Ming-Lang Tseng, Kim Hua Tan, Tat Dat Bui

Research output: Research - peer-reviewArticle

  • 4 Citations

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.
LanguageEnglish
Pages806-816
Number of pages11
JournalJournal of Cleaner Production
Volume162
Early online date7 Jun 2017
DOIs
StatePublished - 20 Sep 2017

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Supply chain management
Knowledge management
Textile industry
Information technology
textile industry
information technology
Industry
modeling
learning

Bibliographical note

Full text embargoed ends 08/07/2018

Keywords

  • Knowledge management
  • Sustainable supply chain management
  • interpretive structural modelling

Cite this

Knowledge management in sustainable supply chain management: improving performance through an interpretive structural modelling approach. / Lim, Ming; Tseng, Ming-Lang; Tan, Kim Hua; Bui, Tat Dat.

In: Journal of Cleaner Production, Vol. 162, 20.09.2017, p. 806-816.

Research output: Research - peer-reviewArticle

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