Identification of Green Procurement Drivers and Their Interrelationship Using Fuzzy TISM and MICMAC Analysis

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Author(s): Surajit Bag (Tega Industries South Africa Pty Ltd., South Africa)
Copyright: 2019
Pages: 20
Source title: Advanced Methodologies and Technologies in Engineering and Environmental Science
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7359-3.ch013

Keywords: Engineering Science / Engineering Science Reference / Environment & Agriculture / Environmental Science

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Abstract

The objective of the chapter is to identify the leading green procurement drivers and identify the interrelationships using fuzzy total interpretive structural modeling and MICMAC approach. For the purpose of this study, 25 drivers were identified from existing literature that influence green procurement practices. These are finally refined through experts' opinions. The final fuzzy model consists of fuzzy relationships between one-to-one criteria. The key drivers which emerged from fuzzy TISM and MICMAC analyses are government policy and regulations, total quality environmental management, management support, management review, continuous education of employees, cross-functional team building, organization culture, and green process and technology. The green procurement model may assist supply chain practitioners in better decision making and successful implementation of green procurement programs.

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Identification of Green Procurement Drivers and Their Interrelationship Using Fuzzy TISM and MICMAC Analysis

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