IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v38y2019i12p1213-1224.html
   My bibliography  Save this article

Cyberloafing and personality traits: an investigation among knowledge-workers across the Iranian knowledge-intensive sectors

Author

Listed:
  • Alireza Sheikh
  • Asal Aghaz
  • Maryam Mohammadi

Abstract

Cyberloafing has received increasing research interest in recent years and from a diversity of research streams. The implications of cyberloafing have proved to be significant, stronger and costly as compared to other less knowledge-based settings. Among other antecedents, the interrelationship of knowledge-workers’ personality traits and their inclinations to cyberloaf has not been studied to date. This survey investigates the relationship between the mentioned factors within and across a number of knowledge-intensive professional services firms in Iran. The findings show the significant positive impact of neuroticism, extraversion and openness to experience on both types of cyberloafing (namely activities and behaviours) and the negative impact of agreeableness on only cyberloafing activities.

Suggested Citation

  • Alireza Sheikh & Asal Aghaz & Maryam Mohammadi, 2019. "Cyberloafing and personality traits: an investigation among knowledge-workers across the Iranian knowledge-intensive sectors," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(12), pages 1213-1224, December.
  • Handle: RePEc:taf:tbitxx:v:38:y:2019:i:12:p:1213-1224
    DOI: 10.1080/0144929X.2019.1580311
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2019.1580311
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2019.1580311?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tbitxx:v:38:y:2019:i:12:p:1213-1224. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.