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Measuring Supply Chain Performance Using the SCOR Model

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  • Thi Thuy Hanh Nguyen

    (University of Economics and Law and Vietnam National University)

Abstract

Performance measurement is critical for assessing the success of the supply chain. The supply chain operations reference (SCOR) model is one famous model used to measure supply chain performance. This study aims to identify gaps and provide future research directions using the SCOR for supply chain performance. Furthermore, this study proposed a conceptual framework that can be used as a guideline for real-life projects. This study was carried out in 2023 by reviewing previous articles that employed the SCOR model in supply chain performance between 2010 and 2022. The study applied the systematic mapping study processes to provide an overview of measuring supply chain performance using the SCOR model. This review disclosed that SCOR was a valuable management tool for measuring the performance of supply chains. It was one of the most commonly used models for assessing supply chain performance. The SCOR model has been used widely in different countries, industries, firms, and supply chains. Most of the previous studies worked with a case study and survey research. Level 1 of the SCOR metrics was employed the most. This review is the first attempt to investigate how the SCOR is used in supply chain performance measurement to the best of the author’s knowledge. Integrating emerging information technologies (such as blockchain, Internet of Things, artificial intelligence, and cloud computing) into the SCOR framework is a growing trend that drives the supply chain toward sustainability.

Suggested Citation

  • Thi Thuy Hanh Nguyen, 2024. "Measuring Supply Chain Performance Using the SCOR Model," SN Operations Research Forum, Springer, vol. 5(2), pages 1-28, June.
    • Handle: RePEc:spr:snopef:v:5:y:2024:i:2:d:10.1007_s43069-024-00314-y
    DOI: 10.1007/s43069-024-00314-y
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    References listed on IDEAS

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    1. Miguel Afonso Sellitto & Giancarlo Medeiros Pereira & Miriam Borchardt & Rosnaldo Inácio da Silva & Cláudia Viviane Viegas, 2015. "A SCOR-based model for supply chain performance measurement: application in the footwear industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 4917-4926, August.
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    5. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
    6. Ntabe, E.N. & LeBel, L. & Munson, A.D. & Santa-Eulalia, L.A., 2015. "A systematic literature review of the supply chain operations reference (SCOR) model application with special attention to environmental issues," International Journal of Production Economics, Elsevier, vol. 169(C), pages 310-332.
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