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How fast to run in the Red Queen race?

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  • Matthew Oldham

Abstract

This paper creates a market ecosystem, via an agent‐based model, that combines the dynamic features of the Red Queen effect with well‐accepted business world performance indicators. Essentially, firms are tasked with remaining ‘alive’ by adapting to their environment through implementing a competitive response of innovating or imitating. An analysis of the firms’ behaviours delivers a deep understanding of the drivers of innovative behaviour within the economy. The key findings of the paper are (1) that concentrated markets are not entirely detrimental to innovative behaviour, with the blend of firm type being a more important consideration, and (2) that the rate at which an innovation impairs existing markets affects the activity levels of the firms within the population. The model's results are validated against a matching study based on real‐world data.

Suggested Citation

  • Matthew Oldham, 2018. "How fast to run in the Red Queen race?," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(1), pages 28-43, January.
  • Handle: RePEc:wly:isacfm:v:25:y:2018:i:1:p:28-43
    DOI: 10.1002/isaf.1419
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    1. Sheri M. Markose, 2005. "Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS)," Economic Journal, Royal Economic Society, vol. 115(504), pages 159-192, June.
    2. Daniel Teitelbaum & Hadi Dowlatabadi, 2000. "A Computational Model of Technological Innovation at the Firm Level," Computational and Mathematical Organization Theory, Springer, vol. 6(3), pages 227-247, September.
    3. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-337, May.
    4. Tanya Araújo & R. Vilela Mendes, 2009. "Innovation And Self-Organization In A Multi-Agent Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 233-253.
    5. William P. Barnett & Olav Sorenson, 2002. "The Red Queen in organizational creation and development," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(2), pages 289-325.
    6. Robson, Arthur J., 2003. "The evolution of rationality and the Red Queen," Journal of Economic Theory, Elsevier, vol. 111(1), pages 1-22, July.
    7. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    8. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    9. Lee, Ju-Sung & Filatova, Tatiana & Ligmann-Zielinska, Arika & Hassani-Mahmooei, Behrooz & Stonedahl, Forrest & Lorscheid, Iris & Voinov, Alexey & Polhill, J. Gareth & Sun, Zhanli & Parker, Dawn C., 2015. "The complexities of agent-based modeling output analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(4).
    10. Christian Rammel, 2003. "Sustainable development and innovations: lessons from the Red Queen," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 6(4), pages 395-416.
    11. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    12. Pier P. Saviotti, 1996. "Technological Evolution, Variety and the Economy," Books, Edward Elgar Publishing, number 727.
    13. William Baumol, 2004. "Red-Queen games: arms races, rule of law and market economies," Journal of Evolutionary Economics, Springer, vol. 14(2), pages 237-247, June.
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