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Antecedents of Green Manufacturing Practices: A Journey towards Manufacturing Sustainability

Antecedents of Green Manufacturing Practices: A Journey towards Manufacturing Sustainability

Rameshwar Dubey, Surajit Bag
ISBN13: 9781466658363|ISBN10: 1466658363|EISBN13: 9781466658370
DOI: 10.4018/978-1-4666-5836-3.ch013
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MLA

Dubey, Rameshwar, and Surajit Bag. "Antecedents of Green Manufacturing Practices: A Journey towards Manufacturing Sustainability." Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence, edited by ZongWei Luo, IGI Global, 2014, pp. 333-354. https://doi.org/10.4018/978-1-4666-5836-3.ch013

APA

Dubey, R. & Bag, S. (2014). Antecedents of Green Manufacturing Practices: A Journey towards Manufacturing Sustainability. In Z. Luo (Ed.), Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence (pp. 333-354). IGI Global. https://doi.org/10.4018/978-1-4666-5836-3.ch013

Chicago

Dubey, Rameshwar, and Surajit Bag. "Antecedents of Green Manufacturing Practices: A Journey towards Manufacturing Sustainability." In Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence, edited by ZongWei Luo, 333-354. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5836-3.ch013

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Abstract

The purpose of this chapter is to identify green supply chain practices and study their impact on firm performance. In this study, the authors have adopted a two-pronged strategy. First, they reviewed extant literature published in academic journals and reports published by reputed agencies. They identified key variables through literature review and developed an instrument to measure the impact of GSCM practices on firm performance. The authors pretested this instrument using five experts drawn from industry having expertise in GSCM implementation and two academicians who have published their articles in reputed journals in the field of GSCM and sustainable manufacturing practice. After finalizing the instrument, the study then randomly targeted 175 companies from CII Institute of Manufacturing database and obtained response from 54 which represent 30.85% response rate. The authors also performed non-response bias test to ensure that non-response bias is not a major issue. They further performed PLSR analysis to test our hypotheses. The results of the study are very encouraging and provide further motivation to explore other constructs which are important for successful implementation of GSCM practices.

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