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Identifying factors influencing the employee's intention with self-protective behaviors against phishing attacks

Bibliographic Data

ID21596236
AuthorsSeyedeh OMSalameh Pourhashemi (0000-0002-3563-4295, Islamic Azad University Central Tehran Branch), Bilal Naqvi (0000-0001-5271-5604, Lappeenrannan-Lahden Teknillinen Yliopisto Department of Software Engineering), Mehdi Azizi Mehmandoost (0000-0002-6612-8133, ICT Research Institute)
Year2026
Volume39
Issue8
Pages50-79
Publication date2026-12-14
Open AccessYes
TypeARTICLE
VenueInformation Technology and People (JOURNAL)
Journal identifiersISSN: 0959-3845 • E-ISSN: 1758-5813
PublisherEmerald (PUBLISHER)
DOI10.1108/itp-11-2024-1429
OpenAlexW7162749224
LanguageEN
References cited93

Purpose Phishing is a form of social engineering attack that poses an increasingly significant risk in today's digital era. The challenges and implications associated with phishing affect both end users and organizations. However, organizations face particularly serious consequences, as a single employee's error can compromise the security and privacy of the entire organization. Design/methodology/approach This research examines the factors influencing employees' intentions to adopt self-protective behaviors against phishing attacks using protection motivation theory (PMT). The study sample comprised 200 employees working in higher education institutions (HEIs). Findings Perceived vulnerability, perceived risk, perceived barriers, response efficacy and self-efficacy influence behavioral intention. The findings also identify significant positive associations between conceptual knowledge and self-efficacy, procedural knowledge and self-efficacy and perceived vulnerability and information security awareness. Originality/value This study contributes to the state of the art by extending PMT by integrating conceptual and procedural knowledge to explain employees' self-protective behaviors against phishing attacks. It also provides empirical evidence from the higher education sector, a context that has received limited attention in prior phishing research

Compromise · Conceptual model · Empirical research · Information security · Phishing · Cyberloafing and Workplace Behavior · Information and Cyber Security · Spam and Phishing Detection

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