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Adaptive Build-up and Breakdown of Trust: An Agent Based Computational Approach

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  • Alexander Gorobets
  • Bart Nooteboom

Abstract

This article employs Agent-Based Computational Economics (ACE) to investigate whether, and under what conditions, trust is viable in markets. The emergence and breakdown of trust is modeled in a context of multiple buyers and suppliers. Agents develop trust in a partner as a function of observed loyalty. They select partners on the basis of their trust in the partner and potential profit, with adaptive weights. On the basis of realized profits, they adapt the weight they attach to trust relative to profitability, and their own trustworthiness, modeled as a threshold of defection. Trust and loyalty turn out to be viable under fairly general conditions. Copyright Springer 2006

Suggested Citation

  • Alexander Gorobets & Bart Nooteboom, 2006. "Adaptive Build-up and Breakdown of Trust: An Agent Based Computational Approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 10(3), pages 277-306, September.
  • Handle: RePEc:kap:jmgtgv:v:10:y:2006:i:3:p:277-306
    DOI: 10.1007/s10997-006-9001-6
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    1. Tesfatsion, Leigh, 1995. "A Trade Network Game with Endogenous Partner Selection," ISU General Staff Papers 199505010700001034, Iowa State University, Department of Economics.
    2. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    3. Oliver E. Williamson, 1999. "Strategy research: governance and competence perspectives," Strategic Management Journal, Wiley Blackwell, vol. 20(12), pages 1087-1108, December.
    4. Arthur, W Brian, 1993. "On Designing Economic Agents That Behave Like Human Agents," Journal of Evolutionary Economics, Springer, vol. 3(1), pages 1-22, February.
    5. Kirman, Alan P. & Vriend, Nicolaas J., 2001. "Evolving market structure: An ACE model of price dispersion and loyalty," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 459-502, March.
    6. Wendelin Reich, 2004. "Reasoning About Other Agents: a Plea for Logic-Based Methods," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(4), pages 1-4.
    7. Stephen Younger, 2005. "Reciprocity, Sanctions, and the Development of Mutual Obligation in Egalitarian Societies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(2), pages 1-9.
    8. Andreas Diekmann & Wojtek Przepiorka, 2005. "The Evolution of Trust and Reputation: Results from Simulation Experiments," Experimental 0508005, University Library of Munich, Germany.
    9. David Brichoux & Paul E. Johnson, 2002. "The Power of Commitment in Cooperative Social Action," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-1.
    10. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, May.
    11. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-359, May.
    12. Williamson, Oliver E, 1993. "Calculativeness, Trust, and Economic Organization," Journal of Law and Economics, University of Chicago Press, vol. 36(1), pages 453-486, April.
    13. Lane, David A, 1993. "Artificial Worlds and Economics, Part II," Journal of Evolutionary Economics, Springer, vol. 3(3), pages 177-197, August.
    14. Lane, David A, 1993. "Artificial Worlds and Economics, Part I," Journal of Evolutionary Economics, Springer, vol. 3(2), pages 89-107, May.
    15. 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.
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    Cited by:

    1. Nooteboom, B., 2006. "Human Nature in the Adaptation of Trust," Other publications TiSEM 6a7897e0-90c6-4c0f-88ed-2, Tilburg University, School of Economics and Management.

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    More about this item

    Keywords

    agent-based computational economics; complex adaptive systems; governance; inter-firm relations; transaction costs; trust; C63; L14; L22; L24; P13;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • P13 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Cooperative Enterprises

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