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The evolution of performance measurement systems in a supply chain: A longitudinal case study on the role of interorganisational factors

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  • Hald, Kim Sundtoft
  • Mouritsen, Jan

Abstract

Supply chain performance measurement systems are important because they are the central managerial mechanisms for achieving efficient and effective supply chain management. Therefore, it is relevant to add to the many conceptual contributions on the subject to explore how such systems unfold and develop in practice. The objective of the present study is to investigate how forces located outside focal firm boundaries influence the evolution of performance measurement systems in supply chains. An evolutionary and dialectic approach is applied, acknowledging that change may be the result of collective action and of opposing influences and forces. Using a longitudinal case study approach, the emergence, proliferation and reconfiguration of three varied yet interrelated performance measurement systems designed to manage a supply chain in the hearing aid industry are explored. The case shows how the evolution of performance measurement systems in supply chains may be informed by multiple influences, some of which are external to the firm. Specifically, ‘interconnectivity of performance measures’, ‘availability and ownership of performance information’ and ‘performance representations’ are all found to be important factors influencing the evolution of the observed performance measurement systems. The framework of the proposed factors here builds on and extends previous research, which has not explicitly incorporated the potential influences of external entities and the supply chain context. Thus, the findings expand our knowledge on how performance measurement systems develop over time in supply chains. With this new knowledge, managers should be better equipped to develop robust and enduring performance measurement systems in supply chains.

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  • 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.
    • Handle: RePEc:eee:proeco:v:205:y:2018:i:c:p:256-271
    DOI: 10.1016/j.ijpe.2018.09.021
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    1. 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.
    2. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
    3. 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.
    4. Estampe, Dominique & Lamouri, Samir & Paris, Jean-Luc & Brahim-Djelloul, Sakina, 2013. "A framework for analysing supply chain performance evaluation models," International Journal of Production Economics, Elsevier, vol. 142(2), pages 247-258.
    5. Hassini, Elkafi & Surti, Chirag & Searcy, Cory, 2012. "A literature review and a case study of sustainable supply chains with a focus on metrics," International Journal of Production Economics, Elsevier, vol. 140(1), pages 69-82.
    6. 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.
    7. Rahat Munir & Kevin Baird & Sujatha Perera, 2013. "Performance measurement system change in an emerging economy bank," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 26(2), pages 196-233, February.
    8. Gianmario Verona & Davide Ravasi, 2003. "Unbundling dynamic capabilities: an exploratory study of continuous product innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(3), pages 577-606, June.
    9. Andrew M. Pettigrew, 1990. "Longitudinal Field Research on Change: Theory and Practice," Organization Science, INFORMS, vol. 1(3), pages 267-292, August.
    10. Braz, Renata Gomes Frutuoso & Scavarda, Luiz Felipe & Martins, Roberto Antonio, 2011. "Reviewing and improving performance measurement systems: An action research," International Journal of Production Economics, Elsevier, vol. 133(2), pages 751-760, October.
    11. 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.
    12. Wolfgang Ulaga, 2003. "Capturing value creation in business relationships: A customer perspective," Post-Print hal-00484963, HAL.
    13. Jazayeri, Mostafa & Scapens, Robert W., 2008. "The Business Values Scorecard within BAE Systems: The evolution of a performance measurement system," The British Accounting Review, Elsevier, vol. 40(1), pages 48-70.
    14. Gutierrez, Debora M. & Scavarda, Luiz F. & Fiorencio, Luiza & Martins, Roberto A., 2015. "Evolution of the performance measurement system in the Logistics Department of a broadcasting company: An action research," International Journal of Production Economics, Elsevier, vol. 160(C), pages 1-12.
    15. Wouters, Marc & Wilderom, Celeste, 2008. "Developing performance-measurement systems as enabling formalization: A longitudinal field study of a logistics department," Accounting, Organizations and Society, Elsevier, vol. 33(4-5), pages 488-516.
    16. 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.
    17. Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
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