IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v34y2025i4p739-757.html
   My bibliography  Save this article

From cyber benign to cyber malicious: unveiling the evolution of insider cyber maliciousness from a stage theory perspective

Author

Listed:
  • Allen C. Johnston
  • Sanjay Goel
  • Kevin Williams

Abstract

Insider cyber maliciousness presents a significant challenge to organizational security. Existing research has focused on identifying determinants of malicious cyber behavior but has not accounted for the progression insiders go through in arriving at the point where they look to harm their employers. This knowledge gap prevents organizations from potentially derailing acts of cyber maliciousness through timely interventions. Based on interviews with a cross-industry sample of organizational insiders, this study adopts a stage theory development approach to explore the progression of insiders from cyber benign to cyber malicious. Stage theories are useful frameworks that help explain how individuals’ perceptions, emotions, and/or behaviors progress through distinct and qualitatively different stages of development. By uncovering the initial, subsequent, and recurring perceptions and emotions that drive insiders to engage in malicious cyber activities, this research contributes to a deeper understanding of the phenomenon. Our findings establish a new basis for understanding insider cyber maliciousness, presenting it as an evolutionary progression. As such, our findings also reorient the focus of malicious insider interventions toward strain-reducing or strain-relieving interventions based on the initial, subsequent, or recurring strain experiences.

Suggested Citation

  • Allen C. Johnston & Sanjay Goel & Kevin Williams, 2025. "From cyber benign to cyber malicious: unveiling the evolution of insider cyber maliciousness from a stage theory perspective," European Journal of Information Systems, Taylor & Francis Journals, vol. 34(4), pages 739-757, July.
  • Handle: RePEc:taf:tjisxx:v:34:y:2025:i:4:p:739-757
    DOI: 10.1080/0960085X.2024.2413072
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0960085X.2024.2413072
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0960085X.2024.2413072?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

    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:tjisxx:v:34:y:2025:i:4:p:739-757. 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/tjis .

    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.