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Evaluating Performance Measurement Metrics for Lean and Agile Supply Chain Strategies in Large Enterprises

Author

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  • Benameur Dahinine

    (Department of Management, College of Business Administration, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Abderrazak Laghouag

    (Department of Business Administration, College of Business, King Khalid University, Abha 62552, Saudi Arabia)

  • Wassila Bensahel

    (Department of Management, College of Business Administration, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Majed Alsolamy

    (Department of Management, College of Business Administration, University of Tabuk, Tabuk 71491, Saudi Arabia)

  • Tarek Guendouz

    (Department of Management, College of Business Administration, University of Tabuk, Tabuk 71491, Saudi Arabia)

Abstract

Previous research has identified metrics that are applicable to both lean and agile strategies and has hypothesised that financial and efficiency metrics are more relevant to the lean supply chain strategy, while customer service and flexibility metrics are more relevant to the agile supply chain strategy. These metrics need to be assessed empirically to confirm their relevance and validate these hypotheses. Drawing upon contingency theory, which mandates that supply chain performance metrics should vary based on the supply chain strategy, the research methodology resulted in developing a survey instrument that has been subsequently tested in 45 large enterprises and analysed by Partial Least Square-Path Modelling using XLSTAT software v.2020.4. The results support the existing beliefs and suggest that financial and efficiency indicator sets are more applicable to the lean supply chain strategy, whereas customer service and flexibility indicator sets are more pertinent to the agile supply chain strategy. This research distinguishes itself, through its novelty, in validating an adaptable framework for supply chain performance metrics, acknowledging the necessity of developing a suitable supply chain performance system. Ultimately, the findings of this research might serve as an initial foundation for practitioners in shaping the design of supply chain performance systems since the strong relationship between SC strategies and specific metrics may serve as a strategic approach to evaluate and improve performance.

Suggested Citation

  • Benameur Dahinine & Abderrazak Laghouag & Wassila Bensahel & Majed Alsolamy & Tarek Guendouz, 2024. "Evaluating Performance Measurement Metrics for Lean and Agile Supply Chain Strategies in Large Enterprises," Sustainability, MDPI, vol. 16(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2586-:d:1361281
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    References listed on IDEAS

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    1. Vonderembse, Mark A. & Uppal, Mohit & Huang, Samuel H. & Dismukes, John P., 2006. "Designing supply chains: Towards theory development," International Journal of Production Economics, Elsevier, vol. 100(2), pages 223-238, April.
    2. Gunasekaran, Angappa & Lai, Kee-hung & Edwin Cheng, T.C., 2008. "Responsive supply chain: A competitive strategy in a networked economy," Omega, Elsevier, vol. 36(4), pages 549-564, August.
    3. Jong Han Park & Jae Kyu Lee & Jung Soo Yoo, 2005. "A framework for designing the balanced supply chain scorecard," European Journal of Information Systems, Taylor & Francis Journals, vol. 14(4), pages 335-346, December.
    4. Schmitz, J. & Platts, K. W., 2004. "Supplier logistics performance measurement: Indications from a study in the automotive industry," International Journal of Production Economics, Elsevier, vol. 89(2), pages 231-243, May.
    5. Changlu Zhang & Liqian Tang & Jian Zhang, 2023. "Identifying Critical Indicators in Performance Evaluation of Green Supply Chains Using Hybrid Multiple-Criteria Decision-Making," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    6. Schnetzler, Matthias J. & Sennheiser, Andreas & Schonsleben, Paul, 2007. "A decomposition-based approach for the development of a supply chain strategy," International Journal of Production Economics, Elsevier, vol. 105(1), pages 21-42, January.
    7. Gunasekaran, A., 1999. "Agile manufacturing: A framework for research and development," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 87-105, May.
    8. Lin, Ching-Torng & Chiu, Hero & Chu, Po-Young, 2006. "Agility index in the supply chain," International Journal of Production Economics, Elsevier, vol. 100(2), pages 285-299, April.
    9. Waggoner, Daniel B. & Neely, Andy D. & P. Kennerley, Mike, 1999. "The forces that shape organisational performance measurement systems: An interdisciplinary review," International Journal of Production Economics, Elsevier, vol. 60(1), pages 53-60, April.
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