TIME WILL TELL: THE CASE FOR AN IDIOGRAPHIC APPROACH TO BEHAVIORAL CYBERSECURITY RESEARCH.
In: MIS Quarterly, Jg. 48 (2024-03-01), Heft 1, S. 95-136
academicJournal
Zugriff:
Many of the theories used in behavioral cybersecurity research have been applied with a nomothetic approach, which is characterized by cross-sectional data (e.g., one-time surveys) that identify patterns across a population of individuals. Although this can provide valuable between-person, point-in-time insights (e.g., employees who use neutralization techniques, such as denying responsibility for cybersecurity policy violations, tend to comply less), it is unable to reveal within-person patterns that account for varying experiences and situations over time. This paper articulates why an idiographic approach, which undertakes a within-person analysis of longitudinal data, can: (1) help validate widely used theories in behavioral cybersecurity research that imply patterns of behavior within a given person over time and (2) provide distinct theoretical insights on behavioral cybersecurity phenomena by accounting for such within-person patterns. To these ends, we apply an idiographic approach to an established theory in behavioral cybersecurity research--neutralization theory--and empirically test a within-person variant of this theory using a four-week experience sampling study. Our results support a more granular application of neutralization theory in the cybersecurity context that considers the behavior of a given person over time. We conclude the paper by highlighting the contexts and theories that provide the most promising opportunities for future behavioral cybersecurity research using an idiographic approach. [ABSTRACT FROM AUTHOR]
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Titel: |
TIME WILL TELL: THE CASE FOR AN IDIOGRAPHIC APPROACH TO BEHAVIORAL CYBERSECURITY RESEARCH.
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Autor/in / Beteiligte Person: | Cram, W. Alec ; D'Arcy, John ; Benlian, Alexander |
Zeitschrift: | MIS Quarterly, Jg. 48 (2024-03-01), Heft 1, S. 95-136 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0276-7783 (print) |
DOI: | 10.25300/MISQ/2023/17707 |
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