Employment opportunities for applicants with cybercrime records: A field experiment
Publication year
2023Number of pages
19 p.
Source
Social Science Computer Review, 41, 5, (2023), pp. 1562-1580ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ RSCR SOC
Journal title
Social Science Computer Review
Volume
vol. 41
Issue
iss. 5
Languages used
English (eng)
Page start
p. 1562
Page end
p. 1580
Subject
Inequality, cohesion and modernization; Ongelijkheid, cohesie en moderniseringAbstract
Various studies have shown that convicted offenders often face difficulties in finding employment. These studies, however, only examined traditional types of crime and little is known about the job opportunities of convicted cybercrime offenders. Therefore, this study examines the influences of being convicted for a cybercrime on labour market chances in the IT sector in the Netherlands. An experiment was conducted in which fictitious job applications were sent to existing job openings between March and June 2021 (N = 300), varying for type of crime (cybercrime, property crime, no offence) and ethnic background (Dutch or Turkish). In order to test the hypotheses, logistic regression analyses were carried out to test whether differences in responses were significant. No significant differences in positive responses were found between cybercrime offenders and non-offenders, implying that cybercrime offenders do not have less labour market opportunities. Moreover, significant differences were found between Dutch and Turkish applicants. The results of this study indicate that results from previous studies on job opportunities of traditional offenders are not generalisable to cybercrime offenders. Possibly, a cybercrime record gives a positive signal of IT-skills that are useful for employees, while a criminal record for a property crime is associated with negative characteristics.
This item appears in the following Collection(s)
- Academic publications [242558]
- Electronic publications [129511]
- Faculty of Social Sciences [29963]
- Open Access publications [104132]
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