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Collaboration quality assessment for sustainable supply chains: benchmarking

Wike Agustin Prima Dania (Department of Agroindustrial Technology, Faculty of Agricultural Technology, University of Brawijaya, Malang, Indonesia) (School of Engineering, University of South Australia – Mawson Lakes Campus, Mawson Lakes, Australia)
Ke Xing (School of Engineering, University of South Australia – Mawson Lakes Campus, Mawson Lakes, Australia)
Yousef Amer (School of Engineering, University of South Australia – Mawson Lakes Campus, Mawson Lakes, Australia)

Benchmarking: An International Journal

ISSN: 1463-5771

Publication date: 1 July 2019

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.

Keywords

Citation

Dania, W.A.P., Xing, K. and Amer, Y. (2019), "Collaboration quality assessment for sustainable supply chains: benchmarking", Benchmarking: An International Journal, Vol. 26 No. 5, pp. 1469-1498. https://doi.org/10.1108/BIJ-03-2018-0070

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited