IDEAS home Printed from https://ideas.repec.org/p/uis/wpaper/0802.html
   My bibliography  Save this paper

Knowledge base, information search and intention to adopt innovation

Author

Listed:
  • Frank J. van Rijnsoever

    ()

  • Carolina Castaldi

    ()

Abstract

Innovation is a process that involves searching for new information. This paper builds upon theoretical insights on individual and organizational learning and proposes a knowledge based model of how actors search for information when confronted with innovation. The model takes into account different search channels, both local and non local, and relates their use to the knowledge base of actors. The paper also provides an empirical validation of our model based on a study on the search channels used by a sample of Dutch consumers when buying new consumer electronic products.

Suggested Citation

  • Frank J. van Rijnsoever & Carolina Castaldi, 2008. "Knowledge base, information search and intention to adopt innovation," Innovation Studies Utrecht (ISU) working paper series 08-02, Utrecht University, Department of Innovation Studies, revised Feb 2008.
  • Handle: RePEc:uis:wpaper:0802
    as

    Download full text from publisher

    File URL: http://www.geo.uu.nl/isu/pdf/isu0802.pdf
    File Function: Version February 2008
    Download Restriction: no

    References listed on IDEAS

    as
    1. Lori Rosenkopf & Paul Almeida, 2003. "Overcoming Local Search Through Alliances and Mobility," Management Science, INFORMS, vol. 49(6), pages 751-766, June.
    2. Devetag, M Giovanna, 1999. "From Utilities to Mental Models: A Critical Survey on Decision Rules and Cognition in Consumer Choice," Industrial and Corporate Change, Oxford University Press, pages 289-351.
    3. Stephen P. Borgatti & Rob Cross, 2003. "A Relational View of Information Seeking and Learning in Social Networks," Management Science, INFORMS, vol. 49(4), pages 432-445, April.
    4. Ulrich Witt, 2006. "Evolutionary Economics," Papers on Economics and Evolution 2006-05, Philipps University Marburg, Department of Geography.
    5. Gregan-Paxton, Jennifer & John, Deborah Roedder, 1997. " Consumer Learning by Analogy: A Model of Internal Knowledge Transfer," Journal of Consumer Research, Oxford University Press, vol. 24(3), pages 266-284, December.
    6. Moorthy, Sridhar & Ratchford, Brian T & Talukdar, Debabrata, 1997. " Consumer Information Search Revisited: Theory and Empirical Analysis," Journal of Consumer Research, Oxford University Press, vol. 23(4), pages 263-277, March.
    7. Markus C. Becker, 2004. "Organizational routines: a review of the literature," Industrial and Corporate Change, Oxford University Press, vol. 13(4), pages 643-678, August.
    8. 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.
    9. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    10. Frank J. van Rijnsoever & Carolina Castaldi, 2008. "Perceived technology clusters and ownership of related technologies: the case of consumer electronics," Innovation Studies Utrecht (ISU) working paper series 08-17, Utrecht University, Department of Innovation Studies, revised Jun 2008.
    11. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    12. Johnson, Eric J & Russo, J Edward, 1984. " Product Familiarity and Learning New Information," Journal of Consumer Research, Oxford University Press, vol. 11(1), pages 542-550, June.
    13. Beatty, Sharon E & Smith, Scott M, 1987. " External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Oxford University Press, vol. 14(1), pages 83-95, June.
    14. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    15. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    16. Cowan, Robin & Cowan, William & Swann, Peter, 1997. "A model of demand with interactions among consumers," International Journal of Industrial Organization, Elsevier, vol. 15(6), pages 711-732, October.
    17. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. " Constructive Consumer Choice Processes," Journal of Consumer Research, Oxford University Press, vol. 25(3), pages 187-217, December.
    18. Brian T. Ratchford, 1982. "Cost-Benefit Models for Explaining Consumer Choice and Information Seeking Behavior," Management Science, INFORMS, vol. 28(2), pages 197-212, February.
    19. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    20. James G. March, 1978. "Bounded Rationality, Ambiguity, and the Engineering of Choice," Bell Journal of Economics, The RAND Corporation, vol. 9(2), pages 587-608, Autumn.
    21. Alba, Joseph W & Hutchinson, J Wesley, 1987. " Dimensions of Consumer Expertise," Journal of Consumer Research, Oxford University Press, vol. 13(4), pages 411-454, March.
    22. Srinivasan, Narasimhan & Ratchford, Brian T, 1991. " An Empirical Test of a Model of External Search for Automobiles," Journal of Consumer Research, Oxford University Press, vol. 18(2), pages 233-242, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Frank van Rijnsoever, 2008. "Opinion leaders in the domain of consumer electronics and their use of external search channels," Innovation Studies Utrecht (ISU) working paper series 08-20, Utrecht University, Department of Innovation Studies, revised Oct 2008.
    2. Frank J. van Rijnsoever & Laurens K. Hessels & Rens L.J. Vandeberg, 2008. "A resource-based view on the interactions of university researchers," Innovation Studies Utrecht (ISU) working paper series 08-14, Utrecht University, Department of Innovation Studies, revised Apr 2008.

    More about this item

    Keywords

    knowledge base; learning; information search; innovation; consumer behaviour;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Lists

    This item is featured on the following reading lists or Wikipedia pages:
    1. Technology Assessment

    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:uis:wpaper:0802. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gaston Heimeriks). General contact details of provider: http://www.uu.nl/faculty/geosciences/EN/research/institutesandgroups/researchinstitutes/copernicusinstitute/research/Innovation/Pages/default.aspx .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.