IDEAS home Printed from https://ideas.repec.org/a/eee/eurman/v13y1995i2p156-163.html
   My bibliography  Save this article

Gaining advantage by 'leaking' information: Informal information trading

Author

Listed:
  • Schrader, Stephan

Abstract

Frequently, managers exchange proprietary data and other types of information with colleagues in other, often rival, companies. Such trading can be of benefit to firms as long as specific rules are followed. Stephan Schrader has conducted an empirical study of informal information trading in the German and US steel industries which shows that managers tend to follow these rules. US managers, however, appear to be more efficient information traders than their German counterparts. Information trading in the oil-exploration industry is also described as an example of how firms can manage such processes.

Suggested Citation

  • Schrader, Stephan, 1995. "Gaining advantage by 'leaking' information: Informal information trading," European Management Journal, Elsevier, vol. 13(2), pages 156-163, June.
  • Handle: RePEc:eee:eurman:v:13:y:1995:i:2:p:156-163
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0263237395000034
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Sattler, Henrik & Schrader, Stephan & Lüthje, Christian, 2003. "Informal cooperation in the US and Germany: cooperative managerial capitalism vs. competitive managerial capitalism in interfirm information trading," International Business Review, Elsevier, vol. 12(3), pages 273-295, June.
    2. Schwartz, Michael & Hornych, Christoph, 2010. "Informal networking: An overview of the literature and an agenda for future research," Jena Contributions to Economic Research 2010,1, Ernst-Abbe-Hochschule Jena – University of Applied Sciences, Department of Business Administration.
    3. Shenglei Pi & Weining Cai, 2017. "Individual knowledge sharing behavior in dynamic virtual communities: the perspectives of network effects and status competition," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-17, December.
    4. Rafael Wittek & Rudi Wielers, 1998. "Gossip in Organizations," Computational and Mathematical Organization Theory, Springer, vol. 4(2), pages 189-204, June.

    More about this item

    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:eee:eurman:v:13:y:1995:i:2:p:156-163. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/115/description#description .

    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.