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Maturity evaluation of supply chain procedures by combining SCOR and PST models

Author

Listed:
  • Hossein Safari
  • Soheila Etezadi
  • Mohsen Moradi-Moghadam
  • Mohammad Reza Fathi

Abstract

In today's global market, supply chain management is a key competitive advantage for companies. Strategic aspects of the supply chain management make it distinguished from other areas of management. Since the supply chain is considered as a crucial element for the success of the company, the evaluation of its performance will be particularly important. Today, companies use various models to assess supply chain performance such as maturity models. Maturity models are used as the basis for the evaluation and comparison of improvement. The purpose of this study is to evaluate the maturity of supply chain processes using a novel approach. To achieve this goal, review of the literature is done related to the supply chain, process of maturity and maturity models that are proposed in this area. Thereafter a comprehensive model is provided. It continues to assess and discuss the maturity of supply chain processes in a number of Iranian companies.

Suggested Citation

  • Hossein Safari & Soheila Etezadi & Mohsen Moradi-Moghadam & Mohammad Reza Fathi, 2021. "Maturity evaluation of supply chain procedures by combining SCOR and PST models," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 11(5), pages 707-724.
    • Handle: RePEc:ids:ijpmbe:v:11:y:2021:i:5:p:707-724
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    Citations

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    Cited by:

    1. Qiankun Meng & Yupei Liu & Wei’an Li & Mingshan Yu, 2023. "Bonding or Indulgence? The Role of Overborrowing on Firms’ Innovation: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    2. Yongtao Peng & Bohai Chen & Eleonora Veglianti, 2022. "Platform Service Supply Chain Network Equilibrium Model with Data Empowerment," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    3. Ya-Cing Jhan & Pin Luarn & Hong-Wen Lin, 2022. "Individual Differences in Digital Game-Based Supply Chains Management Learning: Evidence from Higher Vocational Education in Taiwan," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    4. Meysam Nouri & Parveen Sihag & Ozgur Kisi & Mohammad Hemmati & Shamsuddin Shahid & Rana Muhammad Adnan, 2022. "Prediction of the Discharge Coefficient in Compound Broad-Crested-Weir Gate by Supervised Data Mining Techniques," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    5. Guoqiang Qiu & Yinghong Wang & Shanshan Guo & Qian Niu & Lin Qin & Di Zhu & Yunlong Gong, 2022. "Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    6. Ioannis Margaritis & Michael Madas & Maro Vlachopoulou, 2022. "Big Data Applications in Food Supply Chain Management: A Conceptual Framework," Sustainability, MDPI, vol. 14(7), pages 1-21, March.

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