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The Journal of the Southern Association for Information Systems

Abstract

Behavioral information security has become an important aspect of information security. In this study, we extend previous works on developing a comprehensive tool to measure security behaviors (i.e. Security Behavior Intentions scale - SeBIS(Egelman & Peer, 2015)). We extend the work on SeBIS by 1) proposing the use of security domain-specific risk as opposed to a generic risk measure, 2) investigating differences in SeBIS across age, gender, education and experience, and 3) providing suggestions for improving SeBIS measures. Survey results from our study provide support for security risk - device securement relationship, a previously unsupported link. We also uncover the role of demographics in influencing SeBIS. Overall, our study contributes to, and further establishes SeBIS as a predictive tool for measuring security behaviors.

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