Abstract
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.
| Language | English |
|---|---|
| Pages | 806-816 |
| Number of pages | 11 |
| Journal | Journal of Cleaner Production |
| Volume | 162 |
| Early online date | 7 Jun 2017 |
| DOIs | |
| State | Published - 20 Sep 2017 |
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Bibliographical note
Full text embargoed ends 08/07/2018Keywords
- 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: Contribution to journal › Article
}
TY - JOUR
T1 - Knowledge management in sustainable supply chain management: improving performance through an interpretive structural modelling approach
AU - Lim,Ming
AU - Tseng,Ming-Lang
AU - Tan,Kim Hua
AU - Bui,Tat Dat
N1 - Full text embargoed ends 08/07/2018
PY - 2017/9/20
Y1 - 2017/9/20
N2 - 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 anddependence 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.
AB - 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 anddependence 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.
KW - Knowledge management
KW - Sustainable supply chain management
KW - interpretive structural modelling
U2 - 10.1016/j.jclepro.2017.06.056
DO - 10.1016/j.jclepro.2017.06.056
M3 - Article
VL - 162
SP - 806
EP - 816
JO - Journal of Cleaner Production
T2 - Journal of Cleaner Production
JF - Journal of Cleaner Production
SN - 0959-6526
ER -