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History-Friendly Models: an Overview of the Case of the Computer Industry

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Abstract

This paper presents and discusses the methodological rationale, the basic structure and some first results of a new approach to the analysis of processes of industry evolution: "history-friendly" models, concerning the history of the computer industry. The specific purpose of this paper is to evaluate in more general terms the potential and limits of this approach, rather than the formal structure or results of a particular case. The paper illustrates first the philosophy beneath the use of "history-friendly" models. Then, after a brief summary of the main stylized facts about the evolution of the computer industry and of the main theoretical issues raised up by our investigation, we go on presenting the structure of the model. We then discuss the main results and some preliminary exercises involving different hypotheses on agents' behavior (strategies of product diversification) and policy issues.

Suggested Citation

  • Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney G. Winter, 2001. "History-Friendly Models: an Overview of the Case of the Computer Industry," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-6.
    • Handle: RePEc:jas:jasssj:2000-26-1
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    Cited by:

    1. Friedrich, B. Cornelia, 2004. "Competition and the Evolution of Market Structure in the E-conomy : A Simulation Analysis," Dresden Discussion Paper Series in Economics 02/04, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    2. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    3. Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
    4. Edoardo Mollona, 2008. "Computer simulation in social sciences," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 12(2), pages 205-211, May.
    5. Fang, F., 2019. "When performance shortfall arises, contract or trust? A multi-method study of the impact of contractual and relational governances on performance in public – private partnerships," Other publications TiSEM 473840ee-6945-4a93-9326-5, Tilburg University, School of Economics and Management.
    6. Marc R.H. Roedenbeck & Barnas Nothnagel, 2007. "Rethinking Lock-in and Locking: Adopters Facing Network Effects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-4.
    7. Avnimelech, Gil & Kenney, Martin & Teubal, Morris, 2004. "Building Venture Capital Industries: Understanding the U.S. and Israeli Experiences," UCAIS Berkeley Roundtable on the International Economy, Working Paper Series qt9035c3vt, UCAIS Berkeley Roundtable on the International Economy, UC Berkeley.
    8. Kemp, R. & van den Bergh, J., 2006. "Economics and Transitions: Lessons from Economic Sub-disciplines," MERIT Working Papers 2006-038, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.
    10. Richard Arena, 2017. "Schumpeter and Schumpeterians on competition: some policy implications," Journal of Evolutionary Economics, Springer, vol. 27(1), pages 161-186, January.
    11. Foster, John & Metcalfe, J. Stan, 2012. "Economic emergence: An evolutionary economic perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 420-432.
    12. John Foster, 2015. "Joseph Schumpeter and Simon Kuznets: comparing their evolutionary economic approaches to business cycles and economic growth," Journal of Evolutionary Economics, Springer, vol. 25(1), pages 163-172, January.
    13. John Foster, 2011. "Evolutionary macroeconomics: a research agenda," Journal of Evolutionary Economics, Springer, vol. 21(1), pages 5-28, February.

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