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Evaluating Market Attractiveness: Individual Incentives Versus Industry Profitability

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  • Herbert Dawid

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  • Marc Reimann

Abstract

In this paper, we employ an agent-based industry simulation model to study the effects of the interplay between individual firms’ market evaluation strategies on the extent of product innovations and overall industry development. In particular, we show that a homogenous industry consisting of companies with focus on historical profits yields high overall industry profits but is very unstable. The introduction of a single firm oriented towards market growth rather than profits is sufficient to trigger a severe drop in profits and a transformation towards an industry with strong market growth orientation and a large number of marketed product innovations. Furthermore, we show that the degree of horizontal differentiation of product innovations from existing products is of significant importance for the individual incentives to adopt market growth orientation and the effects of such a development on overall industry profits. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Herbert Dawid & Marc Reimann, 2005. "Evaluating Market Attractiveness: Individual Incentives Versus Industry Profitability," Computational Economics, Springer;Society for Computational Economics, vol. 24(4), pages 321-355, June.
  • Handle: RePEc:kap:compec:v:24:y:2005:i:4:p:321-355
    DOI: 10.1007/s10614-005-6158-z
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    References listed on IDEAS

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    1. Yildizoglu, Murat, 2002. "Competing R&D Strategies in an Evolutionary Industry Model," Computational Economics, Springer;Society for Computational Economics, vol. 19(1), pages 51-65, February.
    2. Malerba, Franco, 1992. "Learning by Firms and Incremental Technical Change," Economic Journal, Royal Economic Society, vol. 102(413), pages 845-859, July.
    3. Fagiolo, Giorgio & Dosi, Giovanni, 2003. "Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 237-273, September.
    4. Simon, Herbert A, 1978. "Rationality as Process and as Product of Thought," American Economic Review, American Economic Association, vol. 68(2), pages 1-16, May.
    5. Javier Pajares & Adolfo López-Paredes & Cesáreo Hernández-Iglesias, 2003. "Industry As an Organisation of Agents: Innovation and R&D Management," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-7.
    6. Bottazzi, Giulio & Dosi, Giovanni & Lippi, Marco & Pammolli, Fabio & Riccaboni, Massimo, 2001. "Innovation and corporate growth in the evolution of the drug industry," International Journal of Industrial Organization, Elsevier, vol. 19(7), pages 1161-1187, July.
    7. Winter, Sidney G., 1984. "Schumpeterian competition in alternative technological regimes," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 287-320.
    8. Dawid, Herbert, 2006. "Agent-based Models of Innovation and Technological Change," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 25, pages 1235-1272 Elsevier.
    9. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
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    Citations

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    Cited by:

    1. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Klaus Wersching, 2007. "Agglomeration in an innovative and differentiated industry with heterogeneous knowledge spillovers," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(1), pages 1-25, June.
    3. Klaus Wersching, 2010. "Schumpeterian Competition, Technological Regimes and Learning through Knowledge Spillover," Post-Print hal-00849408, HAL.
    4. Herbert Dawid & Marc Reimann, 2011. "Diversification: a road to inefficiency in product innovations?," Journal of Evolutionary Economics, Springer, vol. 21(2), pages 191-229, May.
    5. Močnik Dijana & Širec Karin, 2015. "Determinants Of A Fast-Growing Firm’s Profits: Empirical Evidence For Slovenia," Scientific Annals of Economics and Business, Sciendo, vol. 62(1), pages 37-54, April.

    More about this item

    Keywords

    agent-based simulation; innovation dynamics; market attractiveness JEL codes: D83; L11; O32;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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