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Development of key performance measures for the automobile green supply chain

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  • Olugu, Ezutah Udoncy
  • Wong, Kuan Yew
  • Shaharoun, Awaludin Mohamed

Abstract

The main purpose of this study was to develop a set of measures for evaluating the performance of the automobile green supply chain. This study reviewed various literatures on green supply chain performance measurement, environmental management, traditional supply chain performance measurement, and automobile supply chain management. In order to comprehensively and effectively establish the relevant measures, a suitable framework which considered the automobile green supply chain as a two-in-one chain was adopted. This two-in-one chain comprised a forward and backward chain for the automobile industry. Consequently, 10 measures with 49 metrics and 6 measures with 23 metrics were identified and developed for the forward and backward chains, respectively. Sequel to the development of these measures, a survey was conducted using a four-page questionnaire distributed to experts (including academics and practitioners) to establish their importance and applicability. The findings of this study suggested that the importance and applicability of all the developed measures have been substantiated. For the forward chain, the most crucial measure was customer perspective while the most applicable one was traditional supply chain cost. The reverse chain measures were topped by management commitment in terms of both importance and applicability. This study contributed to the advancement of knowledge by pioneering the development of a set of holistic measures for evaluating the performance of the automobile green supply chain. The study was wrapped up with the proposition of directions for further studies.

Suggested Citation

  • Olugu, Ezutah Udoncy & Wong, Kuan Yew & Shaharoun, Awaludin Mohamed, 2011. "Development of key performance measures for the automobile green supply chain," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 567-579.
    • Handle: RePEc:eee:recore:v:55:y:2011:i:6:p:567-579
    DOI: 10.1016/j.resconrec.2010.06.003
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    References listed on IDEAS

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    3. Shiva Moslemi & Abolfazl Mirzazadeh & Gerhard-Wilhelm Weber & Mohammad Ali Sobhanallahi, 2022. "Integration of neural network and AP-NDEA model for performance evaluation of sustainable pharmaceutical supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1116-1157, September.
    4. Jule Naffin & Johanna Klewitz & Stefan Schaltegger, 2023. "Sustainable development of supplier performance. An empirical analysis of relationship characteristics in the automotive sector," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1753-1769, July.
    5. Hsu, C.-H. & Wang, Fu-Kwun & Tzeng, Gwo-Hshiung, 2012. "The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 95-111.
    6. Dennis Vegter & Jos van Hillegersberg & Matthias Olthaar, 2021. "Performance Measurement Systems for Circular Supply Chain Management: Current State of Development," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    7. Mahmoudzadeh, Mahdi & Mansour, Saeed & Karimi, Behrouz, 2013. "To develop a third-party reverse logistics network for end-of-life vehicles in Iran," Resources, Conservation & Recycling, Elsevier, vol. 78(C), pages 1-14.
    8. Muduli, Kamalakanta & Govindan, Kannan & Barve, Akhilesh & Kannan, Devika & Geng, Yong, 2013. "Role of behavioural factors in green supply chain management implementation in Indian mining industries," Resources, Conservation & Recycling, Elsevier, vol. 76(C), pages 50-60.

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