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A Proposed Performance-Measurement System for Enabling Supply-Chain Strategies

Author

Listed:
  • Paitoon Varadejsatitwong

    (Thammasat Business School, Thammasat University, Bangkok 10200, Thailand)

  • Ruth Banomyong

    (Thammasat Business School, Thammasat University, Bangkok 10200, Thailand)

  • Puthipong Julagasigorn

    (Thammasat Business School, Thammasat University, Bangkok 10200, Thailand)

Abstract

Existing performance-measurement systems in the supply-chain literature have been designed for specific supply chains. Without a business-appropriate performance-measurement system, practitioners devise strategies that are neither scientific nor supported by data. The objective of this paper was to propose a performance-measurement system to support the enabling of supply-chain strategies. The proposed performance-measurement system (PMS), combining the Plan–Do–Check–Act cycle (PDCA) with the evidence-based management (EBM) concept, served as the basis for developing a procedural framework. The PMS was validated using the case logistics service providers (LSPs). The PDCA methodology was used to develop a structural framework for fourth-party logistics (4PL). In the Plan step, the research team identified the business problems of fourth-party logistics (4PL). In the Do step, the LSP literature was reviewed, to identify five performance dimensions (‘Service Quality’; ‘Social and Environmental’; ‘Inter-organizational Relationship’; ‘Financial’; and ‘Efficiency and Effectiveness’), and key performance indicators (KPIs). The 4PL management team participated in the finalization of the five performance dimensions and the 53 KPIs, which were used to propose a preliminary version of the structural framework for the 4PL. In the Check step, the data collected from 478 subcontractors of the 4PL were analyzed, using confirmatory factor analysis and structural equation modeling, and were used to validate the proposed structural framework for the 4PL. The validated structural framework was further presented at an academic conference, and to the 4PL for feedback, and was used to formulate supply-chain strategies through brainstorming. The findings include a validated structural framework containing five performance dimensions and 32 KPIs. The research revealed that input performance (‘Service Quality’, ‘Social and Environmental’, and ‘Inter-organizational Relationship’) positively affected output performance (‘Financial’ and ‘Efficiency and Effectiveness’). Supply-chain strategies were further suggested to the 4PL. The validating case in this study demonstrated that the employed procedural framework (PDCA and EBM) was applicable, and could be used to derive a structural framework and supply-chain strategies for the 4PL. This study contributes to the literature, by proposing a PMS for supply-chain strategy development. The paper’s illustrative case provides a practical application of how to develop a performance-measurement system.

Suggested Citation

  • Paitoon Varadejsatitwong & Ruth Banomyong & Puthipong Julagasigorn, 2022. "A Proposed Performance-Measurement System for Enabling Supply-Chain Strategies," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11797-:d:919419
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    References listed on IDEAS

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    1. Wang, Cheng Lu & Shi, Yizheng & Barnes, Bradley R., 2015. "The role of satisfaction, trust and contractual obligation on long-term orientation," Journal of Business Research, Elsevier, vol. 68(3), pages 473-479.
    2. 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.
    3. Tang, Ou & Nurmaya Musa, S., 2011. "Identifying risk issues and research advancements in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 133(1), pages 25-34, September.
    4. Lyu, JrJung & Ding, Jyh-Hong & Chen, Ping-Shun, 2010. "Coordinating replenishment mechanisms in supply chain: From the collaborative supplier and store-level retailer perspective," International Journal of Production Economics, Elsevier, vol. 123(1), pages 221-234, January.
    5. Sandeep Vij & Rayees Farooq, 2014. "Multi-Group Moderation Analysis for Relationship between Knowledge Sharing Orientation and Business Performance," International Journal of Knowledge Management (IJKM), IGI Global, vol. 10(3), pages 36-53, July.
    6. Bryan Hong & Zhichuan Li & Dylan Minor, 2016. "Corporate Governance and Executive Compensation for Corporate Social Responsibility," Journal of Business Ethics, Springer, vol. 136(1), pages 199-213, June.
    7. Irene Wei Kiong Ting & Noor Azlinna Azizan & Rajesh Kumar Bhaskaran & Sujit K Sukumaran, 2019. "Corporate Social Performance and Firm Performance: Comparative Study among Developed and Emerging Market Firms," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    8. 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.
    9. Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2019. "Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks," International Journal of Production Economics, Elsevier, vol. 212(C), pages 19-38.
    10. Rezaei, Jafar & van Roekel, Wilco S. & Tavasszy, Lori, 2018. "Measuring the relative importance of the logistics performance index indicators using Best Worst Method," Transport Policy, Elsevier, vol. 68(C), pages 158-169.
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