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Simulation of Learning in Supply Partnerships

Author

Listed:
  • Gábor Péli

    (University of Groningen)

  • Bart Nooteboom

    (University of Groningen)

Abstract

A model is designed and used to simulate how partners in a supplyrelationship identify and reach a common target in the form of an ideal endproduct. They cooperate fully and share returns. They learn by interaction,as follows. From their different perspectives, they complement each other'sidentification of the target. They adapt their productive competencies tothe target, in order to conform to demand (quality), and to each other, inorder to achieve efficient complementarity in production (efficiency). Asthey approach the target, their accuracy of identifying the targetincreases. Also, their speed of adaptation increases, and thus they can besaid to be learning by doing. The model allows two different patterns ofacceleration: a routine and a radical type of development. At some distancefrom the target they start to produce. A longer distance from the targetyields earlier returns, but also entails a greater compromise on quality andthereby yields lower returns. Unpredictable changes in market and technologyyield random shifts of the target. In the analysis, the returns from singleand dual sourcing are compared under different parameter settings. Thesimulations show that in line with expectations dual sourcing can be moreadvantageous if development is of the radical type. However, the advantageonly arises if conditions of market and technology are neither too volatilenor too stable.

Suggested Citation

  • Gábor Péli & Bart Nooteboom, 1997. "Simulation of Learning in Supply Partnerships," Computational and Mathematical Organization Theory, Springer, vol. 3(1), pages 43-66, March.
  • Handle: RePEc:spr:comaot:v:3:y:1997:i:1:d:10.1023_a:1009667905556
    DOI: 10.1023/A:1009667905556
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    Cited by:

    1. Klos, Tomas B. & Nooteboom, Bart, 1997. "Adaptive governance: the role of loyalty," Research Report 97B53, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    2. Rudolf Vetschera, 2004. "Behavioral uncertainty and investments in cooperative relationships," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 17-27.
    3. Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
    4. Paul Muller, 2006. "Reputation, trust and the dynamics of leadership in communities of practice," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 10(4), pages 381-400, November.
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    6. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    7. William Martin Tracy & M. V. Shyam Kumar & William Paczkowski, 2013. "Parametric interdependence, learning-by-doing, and industrial structure," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 580-600, December.
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