Time Will Tell: The Case for an Idiographic Approach to Behavioral Cybersecurity Research
论证了在行为网络安全研究中采用个体化方法（纵向数据、个体内分析）的必要性，并通过四周经验取样研究检验中立化理论的个体内变体，发现该方法能更精细地解释个体随时间的行为变化。
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.