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

被引:227
作者
Lim, Ming K. [1 ]
Tseng, Ming-Lang [2 ]
Tan, Kim Hua [3 ]
Bui, Tat Dat [2 ]
机构
[1] Coventry Univ, Ctr Business Soc, Coventry, W Midlands, England
[2] Lunghwa Univ Sci & Technol, Dept Business Adm, Taoyuan, Taiwan
[3] Univ Nottingham, Business Sch, Nottingham, England
关键词
Knowledge management; Sustainable supply chain management; Interpretive structural modelling; GREEN; IMPACT; INITIATIVES; ENVIRONMENT; LOGISTICS; RESOURCES; FRAMEWORK; MALAYSIA;
D O I
10.1016/j.jclepro.2017.06.056
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:806 / 816
页数:11
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