IDEAS home Printed from https://ideas.repec.org/p/unl/unlfep/wp472.html
   My bibliography  Save this paper

Serendipity: why some organizations are luckier than others

Author

Listed:
  • Cunha, Miguel Pina e

Abstract

Serendipity refers to the accidental discovery of something valuable. It is sometimes presented as an element of organizational learning but has been the object of scarce research. In this paper, I discuss the notion of serendipity in the organizational context, and elaborate a model of organizational serendipity. Four building blocks are considered: the conditions that facilitate serendipitous discovery, the search for a solution for a given problem, a process of bisociation leading to the combination of previously unrelated skills or information, and the discovery of an unexpected solution to a different problem. I also discuss what organizations can do to improve the chances of serendipity.

Suggested Citation

  • Cunha, Miguel Pina e, 2005. "Serendipity: why some organizations are luckier than others," FEUNL Working Paper Series wp472, Universidade Nova de Lisboa, Faculdade de Economia.
  • Handle: RePEc:unl:unlfep:wp472
    as

    Download full text from publisher

    File URL: http://fesrvsd.fe.unl.pt/WPFEUNL/WP2005/wp472.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Meyer, Klaus & Skak, Ane, 2002. "Networks, Serendipity and SME Entry into Eastern Europe," European Management Journal, Elsevier, vol. 20(2), pages 179-188, April.
    2. Jay B. Barney, 1986. "Strategic Factor Markets: Expectations, Luck, and Business Strategy," Management Science, INFORMS, vol. 32(10), pages 1231-1241, October.
    3. Cooper, Robert, 1998. "Benchmarking new product performance:: Results of the best practices study," European Management Journal, Elsevier, vol. 16(1), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    serendipity; search; bisociation; chance; accidental discoveries; unintentional learning;

    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:unl:unlfep:wp472. 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: (Sean Story). General contact details of provider: http://edirc.repec.org/data/feunlpt.html .

    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.