Collaboration quality assessment for sustainable supply chains: benchmarking
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(Published version)
Date
2019
Authors
Dania, W.A.P.
Xing, K.
Amer, Y.
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Journal article
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Benchmarking, 2019; 26(5):1469-1498
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Abstract
Purpose: The purpose of this paper is to propose an instrument to evaluate the collaboration quality of sustainable supply chains by considering collaboration behaviour and sustainability factors. Design/methodology/approach: The proposed model integrates Quality Function Deployment (QFD), Fuzzy Analytical Network Process (FANP) and Data Envelopment Analysis (DEA) to assess the efficiency score of each stakeholder involved. A case of a sugar company in Indonesia was analysed as the illustration of the application of the model. Findings: The integrated QFD-FANP-DEA method enables to incorporate collaboration behaviour and sustainability factors in a single assessment model. The results of the case study showed the benchmarking results associated with the performance variance of stakeholders and the number of samples. Research limitations/implications: Future research could consider other DEA approaches, extend the research by simulating a different number of scenarios and evaluating the improvement/deterioration, and expand the scope of collaboration. Practical implications: Each stakeholder will be able to obtain the collaboration assessment results, and the improvements suggested by the model. Social implications: Smallholders and farmers will be able to increase their benefits by using the existing resources. Originality/value: This paper provides a methodological contribution by introducing new collaboration quality assessment methods that can accommodate any variance in multi-stakeholders, involve qualitative and quantitative measurements, and benefit all stakeholders.
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Copyright 2018 Emerald
Access Condition Notes: Accepted manuscript available on open access