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Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain

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  • Jalali Naini, Seyed Gholamreza
  • Aliahmadi, Ali Reza
  • Jafari-Eskandari, Meisam

Abstract

This paper proposes a mixed performance measurement system using a combination of evolutionary game theory and the balanced scorecard (BSC) in environmental supply chain management (ESCM) that measures and evaluates business operations using the four different perspectives of finance, customer, internal business process, and learning and growth. ESCM plays an important role in the supply chain which leads to the reduction, reuse and recycling of resources involved in both upstream and downstream activities. This paper presents guidance for practical managers in evaluating and measuring ESCM by developing a knowledge-based BSC and evolutionary game theory. The primary purpose of this paper is to apply the proposed method in a case study to one of Iran's biggest auto industry supply chain SAIPA Company. The results of this study indicate that the adoption of ESCM, in the absence of regulatory pressures and cost-saving measures is triggered by public pressures and its implementation is limited by organizational factors and strategic myopia.

Suggested Citation

  • Jalali Naini, Seyed Gholamreza & Aliahmadi, Ali Reza & Jafari-Eskandari, Meisam, 2011. "Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 593-603.
    • Handle: RePEc:eee:recore:v:55:y:2011:i:6:p:593-603
    DOI: 10.1016/j.resconrec.2010.10.008
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    References listed on IDEAS

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    1. Li, Xiao & Gu, Xin Jian & Liu, Zheng Gang, 2009. "A strategic performance measurement system for firms across supply and demand chains on the analogy of ecological succession," Ecological Economics, Elsevier, vol. 68(12), pages 2918-2929, October.
    2. L C Leung & K C Lam & D Cao, 2006. "Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(6), pages 682-691, June.
    3. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
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    Cited by:

    1. 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.
    2. Chen, Sihua & Du, Jiangze & He, Wei & Siponen, Mikko, 2022. "Supply chain finance platform evaluation based on acceptability analysis," International Journal of Production Economics, Elsevier, vol. 243(C).

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