Specialization in cybercrime and offense versatility during early adolescence and the role of criminogenic needs

Abstract This study explores the intertwinement of cybercrime and traditional crime during early adolescence. We designed a cross-sectional survey compromising previously validated instruments, which was completed by 1,240 young people from the Netherlands. This survey measured the lifetime prevalence and past-year frequencies of a number of offending behaviors, and screened for key criminogenic needs. Analysis revealed that around half of the cybercrime offenders only committed cybercrime in their lives, while the other half was also involved in traditional crime. Technical cybercrime offenders in particular specialized in cybercrime, while financial-economic cybercrime offenders were more likely to be mixed offenders. Such patterns were found both in terms of offending prevalence and in terms of offending frequency. Here, we found evidence for correlations between specific forms of offline and online crimes, such as shoplifting and theft in virtual games. Finally, based on regression analysis utilizing the offense specialization coefficient, it appeared that being male, substance use, and online antisocial peer influences related to mixed offending, while older mean ages were associated with specialization in cybercrime. Our findings provide evidence for the hybridization of crime, and offer ground for future research endeavors to explore this topic more in-depth.

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Publication Details

Journal
Crime Law and Social Change
Published
2025-10-21
DOI
https://doi.org/10.1007/s10611-025-10232-7
Citations
2
Primary Topic
Cybercrime and Law Enforcement Studies
Type
article
Field-Weighted Citation Impact
6.49
Controls
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article

Specialization in cybercrime and offense versatility during early adolescence and the role of criminogenic needs

Luuk Bekkers, Rutger Leukfeldt
2 citations
Crime Law and Social Change
Cybercrime and Law Enforcement Studies
6.49
article

Specialization in cybercrime and offense versatility during early adolescence and the role of criminogenic needs

Luuk Bekkers, Rutger Leukfeldt
article en
2 citations

Abstract

Abstract This study explores the intertwinement of cybercrime and traditional crime during early adolescence. We designed a cross-sectional survey compromising previously validated instruments, which was completed by 1,240 young people from the Netherlands. This survey measured the lifetime prevalence and past-year frequencies of a number of offending behaviors, and screened for key criminogenic needs. Analysis revealed that around half of the cybercrime offenders only committed cybercrime in their lives, while the other half was also involved in traditional crime. Technical cybercrime offenders in particular specialized in cybercrime, while financial-economic cybercrime offenders were more likely to be mixed offenders. Such patterns were found both in terms of offending prevalence and in terms of offending frequency. Here, we found evidence for correlations between specific forms of offline and online crimes, such as shoplifting and theft in virtual games. Finally, based on regression analysis utilizing the offense specialization coefficient, it appeared that being male, substance use, and online antisocial peer influences related to mixed offending, while older mean ages were associated with specialization in cybercrime. Our findings provide evidence for the hybridization of crime, and offer ground for future research endeavors to explore this topic more in-depth.

Crime Law and Social ChangeVol. 83(1)
Leiden University (NL), University of Applied Sciences Leiden (NL), Netherlands Institute for the Study of Crime and Law Enforcement (NL), Vrije Universiteit Amsterdam (NL), The Hague University of Applied Sciences (NL)
Openalex Percentile: Top 3%
Cybercrime and Law Enforcement Studies
6.49
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Specialization in cybercrime and offense versatility during early adolescence and the role of criminogenic needs — Luuk Bekkers, Rutger Leukfeldt · Crime Law and Social Change (2025) | TGRS Research Map | TGRS