Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS

被引:354
|
作者
Gupta, Himanshu [1 ]
Barua, Mukesh K. [1 ]
机构
[1] Indian Inst Technol Roorkee, Dept Management Studies, Roorkee 247667, Uttar Pradesh, India
关键词
Green innovation; Best worst method (BWM); Fuzzy TOPSIS; SMEs; Supplier selection; CHAIN MANAGEMENT-PRACTICES; ANALYTIC NETWORK PROCESS; RESEARCH-AND-DEVELOPMENT; DECISION-MAKING METHOD; ENVIRONMENTAL-MANAGEMENT; PRODUCT INNOVATION; COMPETITIVE ADVANTAGE; ECO-INNOVATIONS; ORGANIZATIONAL-FACTORS; PERFORMANCE EVIDENCE;
D O I
10.1016/j.jclepro.2017.03.125
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Environmental management concerns are gaining considerable attention among organizations all over the world and organizations are under pressure to adopt green practices throughout their supply chain. Supplier selection is strategically important as it can determine the organization's success in achieving goals of adopting green practices. Realizing the importance of supplier selection, this study aims at selecting suppliers among SMEs (Small and Medium Enterprises) on the basis of their green innovation ability. A three phase methodology is used for presenting a framework for supplier selection by large organizations, the first phase involves the selection of criteria of green innovation through literature review and interviews with decision makers, the second phase involves ranking of selection criteria using a novel best worst method, third phase involves ranking of suppliers with respect to selection criteria weights obtained in phase two using fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). Sensitivity analysis is also performed in order to check the robustness of the framework and eliminate the effect of biasness. The outcome of this research is helpful to rank the suppliers consequently organizations can replicate the proposed framework for supplier selection for their new product range. Limitations of the study along with future research directions are also presented. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:242 / 258
页数:17
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