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Norms as Emergent Properties of Adaptive Learning: The Case of Economic Routines

In: Innovation, Organization and Economic Dynamics

Author

Listed:
  • Giovanni Dosi
  • Luigi Marengo
  • Andrea Bassanini
  • Marco Valente

Abstract

Giovanni Dosi is recognized as one of the world’s leading scholars in industrial economics and corporate change. This volume contains a selection of his most important work and provides an excellent overview of the contribution he has made to the economics of innovation and technical change.

Suggested Citation

  • Giovanni Dosi & Luigi Marengo & Andrea Bassanini & Marco Valente, 2000. "Norms as Emergent Properties of Adaptive Learning: The Case of Economic Routines," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 6, pages 189-210, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:1248_6
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    Citations

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    Cited by:

    1. Ballot, Gerard & Taymaz, Erol, 2001. "Training policies and economic growth in an evolutionary world," Structural Change and Economic Dynamics, Elsevier, vol. 12(3), pages 311-329, September.
    2. Giovanni Dosi & Luigi Marengo & Evita Paraskevopoulou & Marco Valente, 2017. "A model of cognitive and operational memory of organizations in changing worlds," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 41(3), pages 775-806.
    3. Herbert Dawid & Philipp Harting, 2012. "Capturing Firm Behavior in Agent-based Models of Industry Evolution and Macroeconomic Dynamics," Chapters, in: Guido Buenstorf (ed.), Evolution, Organization and Economic Behavior, chapter 6, Edward Elgar Publishing.
    4. Teppo Felin & Nicolai Foss, 2006. "Individuals and Organizations Thoughts on a Micro-Foundations Project for Strategic Management and Organizational Analysis," DRUID Working Papers 06-01, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    5. Jonard, N. & Yfldizoglu, M., 1998. "Technological diversity in an evolutionary industry model with localized learning and network externalities," Structural Change and Economic Dynamics, Elsevier, vol. 9(1), pages 35-53, March.
    6. Tanya Araújo & Miguel St. Aubyn, 2008. "Education, Neighborhood Effects And Growth: An Agent-Based Model Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 99-117.
    7. Patalano, Roberta, 2007. "Resistance to change. Exploring the convergence of institutions, organizations and the mind toward a common phenomenon," MPRA Paper 3342, University Library of Munich, Germany.
    8. Jukka Kaisla, 2003. "Choice Behaviour: Looking for Remedy to Some Central Logical Problems in Rational Action," Kyklos, Wiley Blackwell, vol. 56(2), pages 245-262, May.
    9. Peter Abell & Teppo Felin & Nicolai Foss, 2008. "Building micro-foundations for the routines, capabilities, and performance links," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(6), pages 489-502.
    10. Giovanni Dosi & Marco Faillo & Luigi Marengo, 2018. "Beyond "Bounded Rationality": Behaviours and Learning in Complex Evolving Worlds," LEM Papers Series 2018/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Windrum, Paul, 1999. "Simulation models of technological innovation: A Review," Research Memorandum 005, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    12. Edmund Chattoe-Brown, 1998. "Just How (Un)realistic Are Evolutionary Algorithms As Representations of Social Processes?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-2.
    13. Peter Revay & Claudio Cioffi-Revilla, 2018. "Survey of evolutionary computation methods in social agent-based modeling studies," Journal of Computational Social Science, Springer, vol. 1(1), pages 115-146, January.
    14. Elizabeth Webster, 2004. "Firms' decisions to innovate and innovation routines," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(8), pages 733-745.
    15. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
    16. Luca Colombo & Herbert Dawid & Philipp Harting, 2024. "R&D location in dynamic industry environments," Journal of Economic Geography, Oxford University Press, vol. 24(1), pages 41-62.
    17. Murat YILDIZOGLU, 2009. "Evolutionary approaches of economic dynamics (In French)," Cahiers du GREThA (2007-2019) 2009-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    18. Johannes Glückler, 2005. "Making Embeddedness Work: Social Practice Institutions in Foreign Consulting Markets," Environment and Planning A, , vol. 37(10), pages 1727-1750, October.
    19. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).

    More about this item

    Keywords

    Economics and Finance; Innovations and Technology;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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