Article

The Anatomy of Digital Risk: Predicting Cybersecurity Incidents Through Behavioral, Cognitive, and Personality Indicators in Blurred Work–Life Environments

2025-07-30

Abstract excerpt

This study presents a uniquely comprehensive and deployment-ready framework for predicting cybersecurity incidents through item-level behavioral, cognitive, and dispositional indicators. Based on survey data from 453 professionals across countries and sectors, we developed 72 logistic regression models across twelve self-reported incident outcomes—from account lockouts to full device compromise—within six analytic...

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Literature Corpus work: d47d7289-08ec-5525-9662-921b0397938f
DOI: 10.20944/preprints202507.2474.v1

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