IDEAS home Printed from https://ideas.repec.org/a/kap/jbioec/v6y2004i3p255-274.html
   My bibliography  Save this article

Knowledge as a Path-Dependence Process

Author

Listed:
  • Salvatore Rizzello

Abstract

By following a new approach proposed by Cognitive and Neuroeconomics, this paper presents and extends that part of Hayek’s theory concerning knowledge in path-dependent terms, and shows that this is a fertile theory, opening new lines of inquiry for contemporary economics. In his theory of knowledge Hayek shows that the dynamics of economic change is path-dependent, in a different and more profound way than in the rest of the path-dependent literature. This literature deals with an important controversy, which will be also discussed and its specific and original meaning will be highlighted. As it will emerge, knowledge as a path-dependent process is consistent with cognitive theories of perception and learning and it plays a more important role than is traditionally assumed. Path-dependence is in fact always present in the cognitive dimension of perception and in individual decision-making processes, as well as in the processes of organizational innovation, and even in the macro-dimension of institutional change. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Salvatore Rizzello, 2004. "Knowledge as a Path-Dependence Process," Journal of Bioeconomics, Springer, vol. 6(3), pages 255-274, September.
    • Handle: RePEc:kap:jbioec:v:6:y:2004:i:3:p:255-274
    DOI: 10.1007/s10818-004-2925-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10818-004-2925-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10818-004-2925-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roberta Patalano, 2007. "Imagination and society. The affective side of institutions," Constitutional Political Economy, Springer, vol. 18(4), pages 223-241, December.
    2. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2021. "It’s a Match! Simulating Compatibility-based Learning in a Network of Networks," Economic Complexity and Evolution, in: Michael P. Schlaile (ed.), Memetics and Evolutionary Economics, chapter 0, pages 99-140, Springer.
    3. Chatterjee, Sidharta, 2011. "The Neuroeconomics of Learning and Information Processing; Applying Markov Decision Process," MPRA Paper 28883, University Library of Munich, Germany.
    4. Geoffrey Hodgson, 2007. "Taxonomizing the Relationship Between Biology and Economics: A Very Long Engagement," Journal of Bioeconomics, Springer, vol. 9(2), pages 169-185, August.
    5. Vicente Moreno-Casas, 2023. "The Harvard-MIT complexity approach to development and Austrian economics: Similarities and policy implications," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 36(4), pages 515-539, December.
    6. Gigante, Anna Azzurra, 2016. "“Reviewing Path Dependence Theory in Economics: Micro–Foundations of Endogenous Change Processes”," MPRA Paper 75310, University Library of Munich, Germany.
    7. Gigante, Anna Azzurra, 2013. "Institutional Cognitive Economics: some recent developments," MPRA Paper 48278, University Library of Munich, Germany.
    8. Lanteri, Alessandro & Yalcintas, Altug, 2006. "The Economics of Rhetoric: On Metaphors as Institutions," MPRA Paper 747, University Library of Munich, Germany.
    9. Roberta Patalano, 2010. "Understanding economic change: the impact of emotion," Constitutional Political Economy, Springer, vol. 21(3), pages 270-287, September.
    10. Bogner, Kristina, 2019. "Knowledge networks in the German bioeconomy: Network structure of publicly funded R&D networks," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    11. Sophie Urmetzer & Michael P. Schlaile & Kristina B. Bogner & Matthias Mueller & Andreas Pyka, 2018. "Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy," Sustainability, MDPI, vol. 10(6), pages 1-22, May.
    12. Roberta Patalano, 2012. "Imagination and Perception as Gateways to Knowledge: The Unexplored Affinity between Boulding and Hayek," Chapters, in: Richard Arena & Agnès Festré & Nathalie Lazaric (ed.), Handbook of Knowledge and Economics, chapter 6, Edward Elgar Publishing.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jbioec:v:6:y:2004:i:3:p:255-274. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.