Skip to main content

Advertisement

Log in

More than “male” and “female”: the role of gender identity in white-collar offending intentions

  • Published:
Crime, Law and Social Change Aims and scope Submit manuscript

Abstract

The gender gap in white-collar crime perpetration is well-established, yet reasons for women’s underrepresentation among this offending group remain disputed. Specifically, scholars debate whether women are socialized against offending or whether they simply lack the opportunity to engage in these types of crime. The current study focuses on the socialization perspective, looking beyond one’s gender assigned at birth and instead looking at gender identity, threats to that identity, and the interaction of race and gender identity. Using an online, experimental vignette design depicting embezzlement, we find that gender identity influences the likelihood of crime perpetration even when one’s opportunity to commit crime is held constant. Future directions for research and theoretical development into gender and white-collar crime are discussed following a presentation of the results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The data for this study are unavailable due to IRB restrictions.

Notes

  1. In total, three participants identified as transmen and four participants identified as “other.” Due to the small sample sizes in these gender categories, these participants were excluded from subsequent analyses.

  2. Bem’s (1974) initial study of the measure on college students indicated that men scored 4.97 on the masculinity and 4.44 on femininity subscales. For women, these scores were 4.57 and 5.01, respectively. In the current study, men scored an average of 4.55 on masculinity and 4.24 for femininity. Women scored 4.26 in masculinity and 4.71 in femininity. Therefore, the averages between this sample and Bem’s (1974) original study generally align.

References

Download references

Acknowledgements

The authors would like to thank Dr. Tereza Trejbalová for her comments on an earlier draft of this manuscript. We would also like to thank the two anonymous reviewers for their insightful and helpful comments.

Funding

This study was funded by the Criminal Justice Graduate Research Fund Award given by the College of Urban Affairs at the University of Nevada, Las Vegas.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shon M. Reed.

Ethics declarations

Informed consent

Informed consent was obtained from all participants with re-assent being obtained after completion of the study.

Conflicts of interest

The authors note no conflicts of interest financially or otherwise with the current study.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Much of the work on this project was done while Melissa Rorie was an Associate Professor in the Department of Criminal Justice at the University of Nevada, Las Vegas.

Appendix A. Embezzlement vignette scenario

Appendix A. Embezzlement vignette scenario

You hold a middle-management position within the Accounting Department at a Fortune 500 company.

In total, you oversee 20 employees in your department. Each of these employees has access to different financial accounts for the company. As a manager, you have access to all of the accounts handled by your employees. This access allows you to transfer company funds to accounts both within and outside of the company.

Your department handles the transaction of thousands of dollars on a daily basis, in which only a company audit would likely identify any improper transactions. Because of this, a small transaction of only a few thousand dollars would likely go unnoticed.

In terms of probabilities (from 0% = no chance at all to 110% = you would be certain to do this), how likely are you to transfer money to your personal account?

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Reed, S.M., Rorie, M.L. More than “male” and “female”: the role of gender identity in white-collar offending intentions. Crime Law Soc Change 80, 79–103 (2023). https://doi.org/10.1007/s10611-023-10074-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10611-023-10074-1

Keywords

Navigation