Cited by 43Cybercrime and Law Enforcement StudiesInformation and Cyber SecurityPrivacy, Security, and Data Protection

Exploring the determinants of victimization and fear of online identity theft: an empirical study

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Guedes, Inês, Martins, Margarida, Cardoso, Carla Sofia·2023·Security Journal

Abstract

The present study aims at understanding what factors contribute to the explanation of online identity theft (OIT) victimization and fear, using the Routine Activity Theory (RAT). Additionally, it tries to uncover the influence of factors such as sociodemographic variables, offline fear of crime, and computer perception skills. Data for the present study were collected from a self-reported online survey administered to a sample of university students and staff (N = 832, 66% female). Concerning the OIT victimization, binary logistic regression analysis showed that those who do not used credit card had lower odds of becoming an OIT victim, and those who reported visiting risky contents presented higher odds of becoming an OIT victim. Moreover, males were less likely than females of being an OIT victim. In turn, fear of OIT was explained by socioeconomic status (negatively associated), education (positively associated) and by fear of crime in general (positively associated). In addition, subjects who reported more online interaction with strangers were less fearful, and those reported more avoiding behaviors reported higher levels of fear of OIT. Finally, subjects with higher computer skills are less fearful. These results will be discussed in the line of routine activities approach and implications for online preventive behaviors will be outlined.

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Research works printed but not linked: 8

  1. Bellah, J. 2001. Training: Identity theft. Law and Order 49 (10): 222-226.
  2. Bossler, A.M., and T.J. Holt. 2009. On-line activities, guardianship, and malware infection: An examina- tion of routine activities theory. International Journal of Cyber Criminology 3 (1): 974-2891.
  3. Brands & Wilsem. 2019. Connected and fearful? Exploring fear of online financial crime, Internet behav- iour and their relationship. European Journal of Criminology 00: 1-12.
  4. Choi, K. 2008. An empirical assessment of an integrated theory of computer crime victimisation. Inter- national Journal of Cyber Criminology 2 (1): 308-333.
  5. Harrell, E. 2019. Victims of identity theft, 2016: Bulletin.
  6. Jackson, J., and I. Gouseti (eds). 2012. Fear of crime. In The encyclopedia of theoretical criminology. Hoboken, NJ: Wiley-Blackwell.
  7. Keane, C. 1992. Fear of crime in Canada: An examination of concrete and formeless fear of victimiza- tion. Canadian Journal of Criminology 34 (2): 215-224.
  8. Ngo, F., and R. Paternoster. 2011. Cybercrime victimization: An examination of individual and situ- ational level factors. International Journal of Cyber Criminology 5 (1): 773-793.

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Authors
Guedes, I., Martins, M., & Cardoso, C. S.
Affiliations
Universidade do Porto (PT)
Corresponding author
Guedes, Inês
Venue
Security Journal
Published
2022-07-21
Volume
36
Issue
3
Pages
472-497
ISSN
  • 0955-1662 (ISSN-L)
  • 1743-4645
OpenAlex
W4286489859
Cited by
43
References
58
Citations by year
2026: 6 · 2025: 17 · 2024: 9 · 2023: 9 · 2022: 2
FWCI
9.15
Type
journal article
Language
en
Open access
Locations
  • Security Journal (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
online identity theft, victimization, fear of crime, routine activity theory, credit card usage, gender differences, socioeconomic status, computer skills, avoidance behavior, university students

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