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Encouraging Employee Engagement With Cybersecurity: How to Tackle Cyber Fatigue

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  • A. Reeves
  • P. Delfabbro
  • D. Calic

Abstract

Cybersecurity fatigue is a form of work disengagement specific to cybersecurity. It manifests as a weariness or aversion to cybersecurity-related workplace behaviors or advice and occurs as a result of prior overexposure to cybersecurity-related work demands or training. While some previous theoretical conceptualizations of cybersecurity fatigue are available, this article is the first to capture all dimensions of the phenomenon in a four-component model. The model holds that cybersecurity fatigue can result from overexposure to workplace cybersecurity advice (e.g., training) or cybersecurity actions (e.g., forced password updates). Similarly, we argue that there can be two types of cybersecurity fatigue: attitudinal (e.g., a belief that cybersecurity is not important) and cognitive (e.g., habituated bad behaviors). We present a multidisciplinary review, which draws on research from management, psychology, and information systems. Practitioners can use the four-component model to identify the type of cybersecurity fatigue that may be occurring in employees and adapt workplace processes accordingly to improve behavior. In addition, we present three illustrative case studies, adapted from employee experiences, to demonstrate the application of the four-component model to an organizational context. The review presents a framework for coordinating the existing approaches to cybersecurity fatigue in the current literature.

Suggested Citation

  • A. Reeves & P. Delfabbro & D. Calic, 2021. "Encouraging Employee Engagement With Cybersecurity: How to Tackle Cyber Fatigue," SAGE Open, , vol. 11(1), pages 21582440211, March.
  • Handle: RePEc:sae:sagope:v:11:y:2021:i:1:p:21582440211000049
    DOI: 10.1177/21582440211000049
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    References listed on IDEAS

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    1. Shahid Tufail & Imtiaz Parvez & Shanzeh Batool & Arif Sarwat, 2021. "A Survey on Cybersecurity Challenges, Detection, and Mitigation Techniques for the Smart Grid," Energies, MDPI, vol. 14(18), pages 1-22, September.

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