Cyber-Dependent Crime Versus Traditional Crime: Empirical Evidence for Clusters of Offenses and Related Motives
| Autor: | Weulen Kranenbarg, Marleen, Leukfeldt, E. Rutger |
|---|---|
| Přispěvatelé: | Criminology, A-LAB, Empirical and Normative Studies, Weulen Kranenbarg, Marleen, Leukfeldt, E. Rutger |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Cybercrime
ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS SDG 16 - Peace SDG 16 - Peace Justice and Strong Institutions Cluster (physics) ComputingMilieux_COMPUTERSANDSOCIETY Sample (statistics) ComputingMilieux_LEGALASPECTSOFCOMPUTING Criminology Empirical evidence Psychology Justice and Strong Institutions |
| Zdroj: | Cybercrime in context: The human factor in victimization, offending, and policing, 195-216 STARTPAGE=195;ENDPAGE=216;TITLE=Cybercrime in context Cybercrime in Context ISBN: 9783030605261 Weulen Kranenbarg, M 2021, Cyber-Dependent Crime Versus Traditional Crime : Empirical Evidence for Clusters of Offenses and Related Motives . in M Weulen Kranenbarg & E R Leukfeldt (eds), Cybercrime in context : The human factor in victimization, offending, and policing . Crime and Justice in Digital Society, vol. 1, Springer, Cham, Cham, Switzerland, pp. 195-216 . https://doi.org/10.1007/978-3-030-60527-8_12 |
| DOI: | 10.1007/978-3-030-60527-8_12 |
| Popis: | It is unknown to what extent cyber-dependent offenders are distinctly different from other offenders and to what extent they have different motives. This is addressed in this study by examining to what extent cyber-dependent offenders can be distinguished from traditional offenders and by identifying clusters of cyber-dependent and traditional offenses. In addition, it is explored which motives for offending the offenders provide and to what extent a specific cluster of crimes distinguishes itself from the other clusters by specific motives. The analyses are based on a survey among a Dutch high-risk sample of adult cyber-dependent offenders (N = 268) and traditional offenders (N = 270). The principal component analysis identified seven clusters of crimes, four clusters that include only cyber-dependent crime and three clusters that only include traditional crimes. This indicates that cyber-dependent offenders can be distinguished from traditional offenders. In addition, cyber-dependent crimes can be distinguished from traditional crimes by almost all motives. The cyber-dependent crimes are mostly committed out of intrinsic motives, i.e., committing the crime is in itself rewarding. Financial motives are almost absent for cyber-dependent crime. Differences between cyber-dependent crime clusters are mainly found in extrinsic motives, i.e., the extent to which the external consequences of committing a crime is rewarding. The results are discussed in light of the existing cybercrime literature. |
| Databáze: | OpenAIRE |
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