Understanding individual differences: factors affecting secure computer behaviour

Matthew Hull, Leah Zhang-Kennedy, Khadija Baig and Sonia Chiasson

Behaviour and Information Technology, 2022, vol. 41, issue 15, 3237-3263

Abstract: Understanding users' individual differences may provide clues to help identify computer users who are prone to act insecurely. We examine factors that impact home users' reported computer security behaviour. We conducted two online surveys with a total of 650 participants to investigate the relationship between self-reported security behaviour and users' knowledge, motivation, confidence, risk propensity and sex-typed characteristics. We found that all of these factors impacted security behaviour, with knowledge as the most important predictor. We further show that a user's affinity to feminine or masculine characteristics is a better determinant of security behaviour than using binary male/female descriptors. Our study enabled us to confirm earlier results in the literature in a non-organisational setting, and to extend the literature by studying additional factors and by comparing the relative importance of each factor as a predictor of security behaviour.

Date: 2022
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DOI: 10.1080/0144929X.2021.1977849

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