Browsing by Author "Sun, Ivan"
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Item The Distinct Role of Peers and Supervisors in Shaping Officers’ Just and Unjust Interactions with Citizens(Criminal Justice and Behavior, 2023-03-01) Peacock, Robert P.; Wu, Yuning; Ivković, Sanja Kutnjak; Sun, Ivan; Vinogradac, Marijan; Vinogradac, Valentina PavlovićThis study steps outside the dominant supervisor-centric approach to organizational justice to examine the impact of peer officers on both procedural justice and injustice in officer–citizen interactions. Recent scandals over the failure of officers to not intercede or object to a colleague’s misconduct has led to a growing policy and research interest in peer influence, training, and intervention programs. A structural equation modeling analysis on a cross-national survey of officers decomposed the direct and indirect effects of peer procedural justice (PPJ) on anticipated officer just and unjust interactions with the public. The study’s finding that PPJ has a greater impact than supervisory procedural justice on officer anticipated just and unjust behavior suggests that policing studies should expand the modeling of organizational justice to include the role of interactions with peer officers. The outcome also adds to the nascent research seeking to better understand how peer-level interventions can promote procedurally just policing.Item Traditional social learning predicts cyber deviance? Exploring the offending versatility thesis in social learning theory(Behavioral Sciences & the Law, 2024-05-20) Zhou, You; Liu, Weidi; Lee, Claire; Xu, Boyang; Sun, IvanSocial learning theory has been widely implemented to understand cyber deviance. Nevertheless, the antecedent scholarship homogenously nested in the perspective of offending specification, leaving the offending versatility thesis unattained. The lack of such studies may undermine the capability of comprehensively understanding the social learning patterns of online offending. Using a sample of 3741 Chinese college students, this study estimated an array of binary logistic regressions to compare the effects of traditional and online social learning in four types of online offending (online sexual harassment, cyberbullying, hacking, and digital piracy). The results suggest that offending versatility and offending specification co-exist in the social learning process of cyber deviance, while offending specification explains a marginally greater variance. Besides, online learning variables act as potential mediators in the relationships between traditional learning and cyber deviance. Furthermore, traditional social learning shows greater predictive power in cyber-enabled crimes than in cyber-dependent crimes. Our study provides fresh empirical evidence for the non-exclusive association between offending versatility and offending specification in the social learning process of cyber deviance.