Ranking the barriers of sustainable textile and apparel supply chains An interpretive structural modelling methodology

被引:36
|
作者
Raut, Rakesh [1 ]
Gardas, Bhaskar B. [2 ]
Narkhede, Balkrishna [3 ]
机构
[1] Natl Inst Ind Engn, Dept Operat Management, Mumbai, Maharashtra, India
[2] Veermata Jijabai Technol Inst, Dept Prod Engn, Mumbai, Maharashtra, India
[3] Natl Inst Ind Engn, Dept Ind Engn & Syst Management IEMS, Mumbai, Maharashtra, India
关键词
Challenges; Emerging economies; Multi-criteria decision making (MCDM); MICMAC analysis; Interpretive structural modelling (ISM); Sustainability textile and apparel (T&A) industry; DECISION-MAKING; MANAGEMENT; SELECTION; INDUSTRY; IMPLEMENTATION; POLLUTION; ENABLERS; ENERGY; CHINA; INDIA;
D O I
10.1108/BIJ-12-2017-0340
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose - Textile and Apparel (T&A) sector significantly influences socio-economic and environmental dimensions of the sustainability. The purpose of this paper is proposed to establish the interrelationship among the critical barriers to the sustainable development of T&A supply chains by using a multi-criteria decision-making approach and to obtain a ranking of the barriers. Design/methodology/approach - In the present investigation through literature review and from expert opinions, 14 significant challenges to the sustainable growth of T&A sector have identified. For establishing the interrelationship and for developing a structural model of the identified challenges, interpretive structural modelling (ISM) methodology is employed. Findings - The results of the investigation revealed that lack of effective governmental policies (B8), poor infrastructure (B4), lack of effective level of integration (B6), low foreign investment (B13) and demonetization (B12) are the top most significant challenges. Research limitations/implications - The model development based on the expert inputs from the industry and academia, these inputs could be biased influencing the accuracy of the model. Also, inclusion more factors for the analysis will improve the reliability of the model. Originality/value - This research is intended to guide the policy and decision makers for improving overall the growth of the T&A supply chain.
引用
收藏
页码:371 / 394
页数:24
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