{"id":308,"date":"2025-12-05T13:45:45","date_gmt":"2025-12-05T13:45:45","guid":{"rendered":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/?p=308"},"modified":"2025-12-05T13:45:45","modified_gmt":"2025-12-05T13:45:45","slug":"article-review-2","status":"publish","type":"post","link":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/2025\/12\/05\/article-review-2\/","title":{"rendered":"Article Review #2"},"content":{"rendered":"William Beiser<br \/>11\/15\/2025<br \/>Article Review #2: Personality, Behavior, and Criminal Typologies in Cybercrime Research<br \/>Relations to Social Sciences<br \/>The Cybercrime Journal article by Ghaleb &amp; Sattarov (2025) directly connects to core<br \/>principles of the social sciences by examining how psychological traits influence cybersecurity<br \/>behavior. The professor-provided article on cybercriminals versus traditional criminals situates<br \/>cyber offending within sociological and criminological frameworks, emphasizing how<br \/>environment, opportunity, and identity shape pathways into crime. Together, these works<br \/>highlight how human behavior, whether in compliance, ignorance, or criminal behavior, is<br \/>shaped by social structures, individual traits, and subjective situations.<br \/>Research Questions, Hypotheses, and Variables<br \/>Ghaleb &amp; Sattarov (2025) examine how five main personality traits predict cybersecurity<br \/>compliance. They hypothesize that traits such as conscientiousness and neuroticism are<br \/>correlated with safer practices. The Independent Variables are personality trait scores, with<br \/>compliance attitudes and behaviors as the Dependent Variables. The \u201cMost Wanted Criminals\u201d<br \/>article asks how cybercriminals differ in background and behavior from traditional offenders. Its<br \/>independent variables are the type of offender, with specific characteristics. The dependent<br \/>variables include criminal behaviors, techniques, and criminal profiles.<br \/>Research Methods<br \/>Ghaleb &amp; Sattarov (2025) employ a quantitative survey method, collecting self-reported<br \/>personality and behavioral data. They then statistically model the relationship between the two.<br \/>The comparison article uses secondary data analysis of offender records, case profiles, and<br \/>criminological typologies.<br \/>Data and Analysis<br \/>Ghaleb &amp; Sattarov\u2019s study relies on numerical personality scores and compliance<br \/>measures, which are analyzed using regression models. The comparison study utilizes both<br \/>qualitative and quantitative data, such as arrest records, behavioral profiles, and demographic<br \/>patterns, to explore the similarities and differences between offender types. Both studies aim to<br \/>identify predictors of behavior using the same approaches.<br \/>Relation to Course Concepts<br \/>Both articles reinforce key concepts in PowerPoint, including risk factors, individual<br \/>differences, social learning, and criminological typologies. Ghaleb\u2019s focus on the link between<br \/>personality and safe behavior parallels the professor\u2019s article, showing how personality and<br \/>background shape pathways into cyber versus traditional crime.<br \/>Marginalized Groups<br \/>Ghaleb &amp; Sattarov (2025) suggest that employees with lower digital literacy, often<br \/>younger staff or those from underrepresented backgrounds, may face increased risk. The<br \/>comparison article notes that traditional criminals disproportionately come from marginalized<br \/>communities due to structural inequalities, whereas cybercriminals often come from more<br \/>privileged or technically skilled backgrounds. Together, these studies demonstrate how various<br \/>forms of marginalization give rise to distinct forms of vulnerability or deviance.<br \/>Overall Contributions to Society<br \/>Both studies provide valuable insights for prevention. Ghaleb\u2019s findings support the use<br \/>of tailored cybersecurity training based on personality and behavioral profiles. At the same time,<br \/>the comparison article helps law enforcement understand the diversity of offenders in cybercrime<br \/>versus traditional crime. Together, they advance social science theory and contribute to more<br \/>effective, equitable responses to crime in digital and physical spaces.<br \/>Conclusion<br \/>When examined together, these articles demonstrate that cybersecurity behavior and<br \/>cyber offending cannot be understood without considering psychology, social structure, and<br \/>criminological theory. Ghaleb &amp; Sattarov (2025) show how personality predicts compliance,<br \/>while a comparison study illustrates how different offender backgrounds influence criminal<br \/>pathways. Both contribute valuable social science insights that help organizations, law<br \/>enforcement, and society better understand and manage behaviors in the digital age.<br \/>References<br \/>Ghaleb, M. M. S. (2025). Role of personality traits and cybersecurity behavior. Cybercrime<br \/>Journal.<br \/>https:\/\/cybercrimejournal.com\/menuscript\/index.php\/cybercrimejournal\/article\/view\/438\/124<br \/>America\u2019s most wanted criminals: Comparing cybercriminals and traditional criminals. (PDF<br \/>provided by professor).References<br \/>Ghaleb, M. M. S. (2025). Role of personality traits and cybersecurity behavior. Cybercrime<br \/>Journal.<br \/>https:\/\/cybercrimejournal.com\/menuscript\/index.php\/cybercrimejournal\/article\/view\/438\/124<br \/>America\u2019s most wanted criminals: Comparing cybercriminals and traditional criminals. (PDF","protected":false},"excerpt":{"rendered":"<p>William Beiser11\/15\/2025Article Review #2: Personality, Behavior, and Criminal Typologies in Cybercrime ResearchRelations to Social SciencesThe Cybercrime Journal article by Ghaleb &amp; Sattarov (2025) directly connects to coreprinciples of the social sciences by examining how psychological traits influence cybersecuritybehavior. The professor-provided article on cybercriminals versus traditional criminals situatescyber offending within sociological and criminological frameworks, emphasizing howenvironment,&#8230; <\/p>\n<div class=\"link-more\"><a href=\"https:\/\/sites.wp.odu.edu\/wt-beiser9\/2025\/12\/05\/article-review-2\/\">Read More<\/a><\/div>\n","protected":false},"author":30582,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wds_primary_category":0},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/posts\/308"}],"collection":[{"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/users\/30582"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/comments?post=308"}],"version-history":[{"count":1,"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/posts\/308\/revisions"}],"predecessor-version":[{"id":320,"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/posts\/308\/revisions\/320"}],"wp:attachment":[{"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/media?parent=308"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/categories?post=308"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/wt-beiser9\/wp-json\/wp\/v2\/tags?post=308"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}