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Impacts of using a performance measurement system in supply chain management: a case study

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  • Harri Laihonen
  • Sanna Pekkola

Abstract

The study examines how the utilisation of a new performance measurement system (PMS) influences supply chain management (SCM) and what kind of impacts the new system has on the performance of the supply chain. The paper utilises a longitudinal research setting where the data was gathered in two semi-structured interview studies after an action research project in which a new measurement system was designed and developed. The findings show how a PMS serves as a catalyst of inter-organisational knowledge transfer and promotes shared learning. The results also show how knowledge transfer and shared learning led to improved performance of the supply chain. The paper contributes by opening up the practical mechanisms through which performance measurement provides value for SCM and by showing how inter-organisational transfer of performance information catalyses learning and performance improvement. The paper looks beyond the design of performance measures and provides a view on the practice of supply chain performance management. The paper illustrates how sharing performance information amongst supply chain companies improves managers’ awareness of shared targets and the status of network operations. This also resulted in improved performance in the studied case network. Overall, the results encourage organisations to engage in network-level performance measurement and share performance information with their network partners.

Suggested Citation

  • Harri Laihonen & Sanna Pekkola, 2016. "Impacts of using a performance measurement system in supply chain management: a case study," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5607-5617, September.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:18:p:5607-5617
    DOI: 10.1080/00207543.2016.1181810
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    References listed on IDEAS

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    1. Mark Easterby‐Smith & Marjorie A. Lyles & Eric W. K. Tsang, 2008. "Inter‐Organizational Knowledge Transfer: Current Themes and Future Prospects," Journal of Management Studies, Wiley Blackwell, vol. 45(4), pages 677-690, June.
    2. 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.
    3. Sanna Pekkola & Hannu Rantanen, 2014. "Utilisation of performance measurement information in management: top manager perspective," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 15(1), pages 23-34.
    4. Harri I. Kulmala & Antti Lonnqvist, 2006. "Performance measurement of networks: towards a non-financial approach," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 3(3), pages 299-316.
    5. Jiang, Xu & Li, Yuan, 2009. "An empirical investigation of knowledge management and innovative performance: The case of alliances," Research Policy, Elsevier, vol. 38(2), pages 358-368, March.
    6. 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. Saswati Tripathi & Bijoy Talukder, 2023. "Supply Chain Performance and Profitability in Indian Automobile Industry: Evidence of Segmental Difference," Global Business Review, International Management Institute, vol. 24(2), pages 371-392, April.
    2. Hald, Kim Sundtoft & Mouritsen, Jan, 2018. "The evolution of performance measurement systems in a supply chain: A longitudinal case study on the role of interorganisational factors," International Journal of Production Economics, Elsevier, vol. 205(C), pages 256-271.
    3. Davidson de Almeida Santos & Osvaldo Luiz Gonçalves Quelhas & Carlos Francisco Simões Gomes & Luis Perez Zotes & Sérgio Luiz Braga França & Guilherme Vinagre Pinto de Souza & Robson Amarante de Araújo, 2020. "Proposal for a Maturity Model in Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(22), pages 1-37, November.

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