IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/7175.html
   My bibliography  Save this paper

Co-evolution of capabilities and preferences in the adoption of new technologies

Author

Listed:
  • Consoli, Davide

Abstract

The objective of this paper is to propose a multidisciplinary approach for the analysis of demand and innovation. It combines insights from studies on technology diffusion, evolutionary economics and cognitive psychology to argue that consumption and demand are learning processes driven by trial-and-error, rather than by ex-ante maximization. The paper presents a heuristic synthesis to incorporate learning processes in the determination of consumption preferences and capabilities. The case of banking service innovation in the UK is presented as an illustrative example of the outlined dynamics.

Suggested Citation

  • Consoli, Davide, 2008. "Co-evolution of capabilities and preferences in the adoption of new technologies," MPRA Paper 7175, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:7175
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/7175/1/MPRA_paper_7175.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Sefa Awaworyi Churchill & Davidson Okai & Alberto Posso, 2016. "Internet Use and Ethnic Heterogeneity in a Cross-Section of Countries," Economic Papers, The Economic Society of Australia, vol. 35(1), pages 59-72, March.
    2. Groesser, Stefan N., 2014. "Co-evolution of legal and voluntary standards: Development of energy efficiency in Swiss residential building codes," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 1-16.
    3. Richard Nelson & Davide Consoli, 2010. "An evolutionary theory of household consumption behavior," Journal of Evolutionary Economics, Springer, vol. 20(5), pages 665-687, October.

    More about this item

    Keywords

    Demand; Innovation; Technology Adoption; Learning;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:7175. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.