IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v27y2002i1_supplp57-65.html
   My bibliography  Save this article

‘You Didn't Hear it From Us But…’: Towards an Understanding of Rumour and Gossip in Organisations

Author

Listed:
  • Grant Michelson

    (Work and Organisational Studies, School of Business, The University of Sydney, Sydney, NSW 2006.)

  • V. Suchitra Mouly

    (Management and Employment Relations Department, The University of Auckland, Private Bag, Auckland, New Zealand.)

Abstract

This paper investigates an important topic in organisational behaviour that hitherto, has not received enough attention—informal communications, including grapevine activity, rumour and gossip. We show how this topic can illuminate potential new insights in a range of related areas in organisational behaviour. We further outline an agenda for research on rumour and gossip in organisations, paying careful attention to a number of individual-level and organisational-level variables. Finally, methodological issues and ways of collecting data are considered; we suggest that many research techniques can be usefully employed in the study of rumour and gossip.

Suggested Citation

  • Grant Michelson & V. Suchitra Mouly, 2002. "‘You Didn't Hear it From Us But…’: Towards an Understanding of Rumour and Gossip in Organisations," Australian Journal of Management, Australian School of Business, vol. 27(1_suppl), pages 57-65, June.
    • Handle: RePEc:sae:ausman:v:27:y:2002:i:1_suppl:p:57-65
    DOI: 10.1177/031289620202701S07
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/031289620202701S07
    Download Restriction: no
    File URL: https://libkey.io/10.1177/031289620202701S07?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
    ---><---

    References listed on IDEAS

    as
    1. DiFonzo, Nicholas & Bordia, Prashant, 1997. "Rumor and Prediction: Making Sense (but Losing Dollars) in the Stock Market," Organizational Behavior and Human Decision Processes, Elsevier, vol. 71(3), pages 329-353, 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. Xiangfan Wu & Ho Kwong Kwan & Long-Zeng Wu & Jie Ma, 2018. "The Effect of Workplace Negative Gossip on Employee Proactive Behavior in China: The Moderating Role of Traditionality," Journal of Business Ethics, Springer, vol. 148(4), pages 801-815, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schultze, Thomas & Schulz-Hardt, Stefan, 2015. "The impact of biased information and corresponding meta-information on escalating commitment," Journal of Economic Psychology, Elsevier, vol. 49(C), pages 108-119.
    2. Yochi Cohen-Charash & Charles A Scherbaum & John D Kammeyer-Mueller & Barry M Staw, 2013. "Mood and the Market: Can Press Reports of Investors' Mood Predict Stock Prices?," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-15, August.
    3. Yao, Yao & Xiao, Xi & Zhang, Chengping & Dou, Changsheng & Xia, Shutao, 2019. "Stability analysis of an SDILR model based on rumor recurrence on social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    4. Webley, Paul & Lewis, Alan & Mackenzie, Craig, 2001. "Commitment among ethical investors: An experimental approach," Journal of Economic Psychology, Elsevier, vol. 22(1), pages 27-42, February.
    5. Andraszewicz, Sandra & Friedman, Jason & Kaszás, Dániel & Hölscher, Christoph, 2023. "Zurich Trading Simulator (ZTS) — A dynamic trading experimental tool for oTree," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    6. Kiran Thapa, 2013. "Stock Message Board Recommendations and Share Trading Activity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 10, July-Dece.
    7. Carlson, Kurt A. & Shu, Suzanne B., 2007. "The rule of three: How the third event signals the emergence of a streak," Organizational Behavior and Human Decision Processes, Elsevier, vol. 104(1), pages 113-121, September.
    8. Kiran Thapa, 2013. "Stock Message Board Recommendations and Share Trading Activity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2013.
    9. Bragger, Jennifer DeNicolis & Bragger, Donald & Hantula, Donald A. & Kirnan, Jean, 1998. "Hyteresis and Uncertainty: The Effect of Uncertainty on Delays to Exit Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 74(3), pages 229-253, June.
    10. Oberlechner, Thomas & Hocking, Sam, 2004. "Information sources, news, and rumors in financial markets: Insights into the foreign exchange market," Journal of Economic Psychology, Elsevier, vol. 25(3), pages 407-424, June.
    11. Alperovych, Yan & Cumming, Douglas & Czellar, Veronika & Groh, Alexander, 2021. "M&A rumors about unlisted firms," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1324-1339.
    12. DiFonzo, Nicholas & Bordia, Prashant, 2002. "Rumors and stable-cause attribution in prediction and behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(2), pages 785-800, July.
    13. Morris, Michael W. & Sheldon, Oliver J. & Ames, Daniel R. & Young, Maia J, 2007. "Metaphors and the market: Consequences and preconditions of agent and object metaphors in stock market commentary," Organizational Behavior and Human Decision Processes, Elsevier, vol. 102(2), pages 174-192, March.
    14. Dutta, Sunasir & Rao, Hayagreeva, 2015. "Infectious diseases, contamination rumors and ethnic violence: Regimental mutinies in the Bengal Native Army in 1857 India," Organizational Behavior and Human Decision Processes, Elsevier, vol. 129(C), pages 36-47.
    15. Selma Belen & Erik Kropat & Gerhard-Wilhelm Weber, 2011. "On the classical Maki–Thompson rumour model in continuous time," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 1-17, March.
    16. Nelson, Mark W. & Bloomfield, Robert & Hales, Jeffrey W. & Libby, Robert, 2001. "The Effect of Information Strength and Weight on Behavior in Financial Markets," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 168-196, November.

    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:sae:ausman:v:27:y:2002:i:1_suppl:p:57-65. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.agsm.edu.au .

    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.