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An Agent‐Based Model of Entrepreneurial Behavior in Agri‐Food Markets

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  • R. Brent Ross
  • Randall E. Westgren

Abstract

Rapid technological innovation and globalization have led to increasingly complex agri‐food supply chains and networks, and uncertain agri‐food markets. Given this type of competitive environment, management scholars have argued that agri‐food firms that adopt capabilities for entrepreneurship will outperform firms that do not. We use agent‐based simulation methods to explore this hypothesis. Agent‐based models are particularly relevant in this study as they allow for the explicit simulation of the entrepreneurial behaviors and firm interactions that lead to wealth creation. In our analysis, we find that entrepreneurial capabilities of alertness, risk‐taking, and efficiency vary in their effect on firm performance given alternative agri‐food strategic landscape configurations. L'innovation technologique rapide et la mondialisation ont donné lieu à des chaînes d'approvisionnement agroalimentaire et à des réseaux de plus en plus complexes ainsi qu'à des marchés agroalimentaires incertains. Compte tenu de ce type d'environnement concurrentiel, les spécialistes en gestion soutiennent que les entreprises agroalimentaires qui possèdent des capacités entrepreneuriales surclasseront celles qui n'en possèdent pas. Nous avons utilisé des modèles de simulation multi‐agent pour étudier cette hypothèse. Les modèles multi‐agent sont particulièrement pertinents dans la présente étude puisqu'ils permettent la simulation explicite de comportements entrepreneuriaux et d'interactions entre firmes qui engendrent la création de richesse. Les résultats de notre analyse ont montré que les capacités entrepreneuriales, telles que la vigilance, la prise de risque et l'efficacité, ont des répercussions variées sur la performance d'une firme en raison de différentes configurations stratégiques du paysage agroalimentaire.

Suggested Citation

  • R. Brent Ross & Randall E. Westgren, 2009. "An Agent‐Based Model of Entrepreneurial Behavior in Agri‐Food Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 459-480, December.
    • Handle: RePEc:bla:canjag:v:57:y:2009:i:4:p:459-480
    DOI: 10.1111/j.1744-7976.2009.01165.x
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    References listed on IDEAS

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    1. Richard A. Bettis & Michael A. Hitt, 1995. "The new competitive landscape," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 7-19.
    2. Hoang, Ha & Antoncic, Bostjan, 2003. "Network-based research in entrepreneurship: A critical review," Journal of Business Venturing, Elsevier, vol. 18(2), pages 165-187, March.
    3. Ross, R. Brent & Westgren, Randall E., 2006. "Economic Returns to Entrepreneurial Behavior," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(2), pages 403-419, August.
    4. Casson, Mark, 2005. "Entrepreneurship and the theory of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 58(2), pages 327-348, October.
    5. Scott Shane, 2000. "Prior Knowledge and the Discovery of Entrepreneurial Opportunities," Organization Science, INFORMS, vol. 11(4), pages 448-469, August.
    6. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
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    Cited by:

    1. Per L. Bylund, 2015. "Signifying Williamson's Contribution to the Transaction Cost Approach: An Agent-Based Simulation of Coasean Transaction Costs and Specialization," Journal of Management Studies, Wiley Blackwell, vol. 52(1), pages 148-174, January.
    2. Lopes, Miguel Vieira & Ross, R. Brent, 2013. "A Comparative Analysis of Strategic Planning Practices in Michigan Agribusiness Firms: 1992 vs. 2012," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 16(3), pages 1-30, September.
    3. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    4. Utomo, Dhanan Sarwo & Onggo, Bhakti Stephan & Eldridge, Stephen, 2018. "Applications of agent-based modelling and simulation in the agri-food supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 794-805.
    5. Eric T. Micheels & Hamish R. Gow, 2015. "The Effect of Market Orientation on Learning, Innovativeness, and Performance in Primary Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(2), pages 209-233, June.
    6. Jana Hornungová & František Milichovský, 2018. "Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(2), pages 497-507.
    7. James Nolan & Dawn Parker & G. Cornelis Van Kooten & Thomas Berger, 2009. "An Overview of Computational Modeling in Agricultural and Resource Economics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 417-429, December.
    8. Holderieath, Jason, 2016. "Spatiotemporal management under heterogeneous damage and uncertain parameters. An agent-based approach," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235850, Agricultural and Applied Economics Association.

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