TY - JOUR
T1 - Improving sustainable supply chain capabilities using social media in a decision-making model
AU - Tseng, Ming-Lang
AU - Lim, Ming K.
AU - Wu, Kuo-Jui
AU - Peng, Wong-Wai
N1 - Funding Information:
This study was supported by the MOST 106-2410-H-262 -003, Taiwan, the National Natural Science Foundation of China ( 71701029 ), the Liaoning Academy of Social Sciences Fund ( L17BGL019 ) and the Fundamental Research Funds for the Central Universities ( DUT18RC(4)002 ).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/8/1
Y1 - 2019/8/1
N2 - This study contributes to the construction of sustainable supply chain capabilities in the textile industry. Previous studies are lacking with regard to sustainable supply chain capabilities; specifically, there are hierarchical structures and measures in qualitative information and quantitative data in nature. In addition, previous studies do not integrate social media with qualitative information and quantitative data, even though social media is an important reference for decision-making. Hence, this study applied the fuzzy synthetic evaluation and decision-making trial evaluation laboratory to address linguistic preferences and provide a strategic approach for the proposed attributes. The results present the integration of qualitative information and quantitative data for building a hierarchical structure with sustainable supply chain capabilities and indicate that social, dynamic and information capabilities are simultaneously strongly affected. The top seven criteria that most influence sustainable supply chain capabilities are outbound logistics flexibility, supply chain reconceptualization, information quality, coevolution, market-oriented perception, partner development and knowledge acquisition and absorptive capacity. The theoretical and managerial implications are discussed.
AB - This study contributes to the construction of sustainable supply chain capabilities in the textile industry. Previous studies are lacking with regard to sustainable supply chain capabilities; specifically, there are hierarchical structures and measures in qualitative information and quantitative data in nature. In addition, previous studies do not integrate social media with qualitative information and quantitative data, even though social media is an important reference for decision-making. Hence, this study applied the fuzzy synthetic evaluation and decision-making trial evaluation laboratory to address linguistic preferences and provide a strategic approach for the proposed attributes. The results present the integration of qualitative information and quantitative data for building a hierarchical structure with sustainable supply chain capabilities and indicate that social, dynamic and information capabilities are simultaneously strongly affected. The top seven criteria that most influence sustainable supply chain capabilities are outbound logistics flexibility, supply chain reconceptualization, information quality, coevolution, market-oriented perception, partner development and knowledge acquisition and absorptive capacity. The theoretical and managerial implications are discussed.
KW - Decision-making trial evaluation laboratory
KW - Fuzzy synthetic evaluation
KW - Social media
KW - Sustainable supply chain capabilities
UR - https://www.scopus.com/pages/publications/85066150181
U2 - 10.1016/j.jclepro.2019.04.202
DO - 10.1016/j.jclepro.2019.04.202
M3 - Article
AN - SCOPUS:85066150181
SN - 0959-6526
VL - 227
SP - 700
EP - 711
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -