Causality sustainable supply chain management practices in the Indonesian coffee industry using qualitative information: digitalization integration leads performance improvement

被引:4
|
作者
Tseng, Ming-Lang [1 ,2 ,3 ]
Bui, Tat-Dat [1 ,4 ]
Lewi, Stephen [4 ]
Rizaldy, Hanif [4 ]
Lim, Ming K. [3 ,5 ]
Wu, Kuo-Jui [6 ]
机构
[1] Asia Univ, Inst Innovat & Circular Econ, Taichung, Taiwan
[2] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
[3] Univ Kebangsaan Malaysia, UKM Grad Sch Business, Bangi, Malaysia
[4] Asia Univ, Asia Management Coll, Dept Business Adm, Taichung, Taiwan
[5] Univ Glasgow, Adam Smith Business Sch, Glasgow, Scotland
[6] Management Sch Hainan Univ, Haikou, Peoples R China
关键词
Sustainable supply chain management; Industry; 4; 0; fuzzy decision-making trial and evaluation laboratory; analytic network process; digitalisation integration; FRAMEWORK;
D O I
10.1080/13675567.2022.2155936
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Sustainable supply chain management practices (SSCMPs) aim to address transparent information, which includes social, environmental, and economic perspectives and Industry 4.0 (I4.0) technology, in the Indonesian coffee industry, SSCMPs highlight those attributes in complex causality interrelationships. Although the effects of I4.0 are discussed in the literature, little attention enables addressing how this digitalisation integration can handle the transition of the agricultural supply chain to sustainability. This study aims to (1) validate the interdependent hierarchical structure of SSCM for I4.0, (2) identify the causal interrelationships among attributes, and (3) determine the critical attributes for SSCM in Indonesian coffee industry practices. An approach consisting of the fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory, and analytic network process is designed to fulfill the proposed objectives. The results show that digitalisation integration leads to labour conditions, supply chain financing accessibility, and social responsibility being the top causal attributes in the cause-and-effect model.
引用
收藏
页数:31
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