CoChat
Sign Up
Cited by 287Cybercrime and Law Enforcement StudiesCrime Patterns and InterventionsInformation and Cyber Security

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Online Routines and Identity Theft Victimization: Further Expanding Routine Activity Theory beyond Direct-Contact Offenses

Reyns, Bradford W.·2013·Journal of Research in Crime and Delinquency
DOI 10.1177/0022427811425539
Open this paper in CoChat — free account

Abstract

Objectives: The purpose of the current study was to extend recent work aimed at applying routine activity theory to crimes in which the victim and offender never come into physical proximity. To that end, relationships between individuals' online routines and identity theft victimization were examined. Method: Data from a subsample of 5,985 respondents from the 2008 to 2009 British Crime Survey were analyzed. Utilizing binary logistic regression, the relationships between individuals' online routine activities (e.g., banking, shopping, downloading), individual characteristics (e.g., gender, age, employment), and perceived risk of victimization on identity theft victimization were assessed. Results: The results suggest that individuals who use the Internet for banking and/or e-mailing/instant messaging are about 50 percent more likely to be victims of identity theft than others. Similarly, online shopping and downloading behaviors increased victimization risk by about 30 percent. Males, older persons, and those with higher incomes were also more likely to experience victimization, as were those who perceived themselves to be at greater risk of victimization. Conclusions: Although the routine activity approach was originally written to account for direct-contact offenses, it appears that the perspective also has utility in explaining crimes at a distance. Further research should continue to explore the online and offline routines that increase individuals' risks of identity theft victimization.

Overview

Integrity signals

Registry

Crossref · 10.1177/0022427811425539

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 52 references

Research works printed but not linked: 9

  1. Baum Katrina, 2007, Identity Theft, 2005
  2. Choi Kyung-shick., 2008, International Journal of Cyber Criminology, 2, 308
  3. Cornish Derek B., 2003, Crime Prevention Studies, 16, 41
  4. Eck John E., 2003, Crime Prevention Studies, 16, 7
  5. Finch Emily, 2007, Crime Online, 29
  6. Fisher Bonnie S., 2010, Justice Quarterly, 37, 202
  7. Langton Lynn, 2010, Identity Theft Reported by Households, 2007
  8. Newman Graeme R., 2008, Perspectives on Identity Theft, 9
  9. Warr Mark, 2000, Fear of Crime in the United States: Avenues for Research and Policy

Cited by

Sorted by citations

Items 201–286 of 286

Related

See all

Metadata

Authors
Reyns, B. W.
Affiliations
Weber State University (US)
Corresponding author
Reyns, Bradford W.
ORCID
Reyns, Bradford W.
Venue
Journal of Research in Crime and Delinquency
Publisher
SAGE Publications
Published
2011-11-08
Volume
50
Issue
2
Pages
216-238
ISSN
  • 0022-4278 (ISSN-L)
  • 1552-731X
DOI
10.1177/0022427811425539
OpenAlex
W2133062599
Cited by
287
References
52
Citations by year
2026: 14 · 2025: 22 · 2024: 37 · 2023: 21 · 2022: 16 · 2021: 30 · 2020: 36 · 2019: 20 · 2018: 22 · 2017: 19 · 2016: 17 · 2015: 16 · 2014: 10 · 2013: 7
FWCI
15.67
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
Journal of Research in Crime and Delinquency (publishedVersion)
Funders
Weber State University
Topics
  • Social Sciences › Law › Cybercrime and Law Enforcement Studies
  • Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
Keywords
identity theft, routine activity theory, internet banking, online shopping, file sharing, instant messaging, victim characteristics, cybercrime

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review