The DOI matches its Crossref record; 77 of the 78 references it cites were found in a registry or an index.
Routine Online Activity and Internet Fraud Targeting: Extending the Generality of Routine Activity Theory
Abstract
Routine activity theory predicts that changes in legitimate opportunity structures (e.g., technology) can increase the convergence of motivated offenders and suitable targets in the absence of capable guardianship. The Internet has fundamentally changed consumer practices and has simultaneously expanded opportunities for cyber-fraudsters to target online consumers. The authors draw on routine activity theory and consumer behavior research to understand how personal characteristics and online routines increase people’s exposure to motivated offenders. Using a representative sample of 922 adults from a statewide survey in Florida, the results of the regression models are consistent with prior research in that sociodemographic characteristics shape routine online activity (e.g., spending time online and making online purchases). Furthermore, indicators of routine online activity fully mediate the effect of sociodemographic characteristics on the likelihood of being targeted for fraud online. These findings support the routine activity perspective and provide a theoretically informed direction for situational crime prevention in a largely unexplored consumer context.
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“For example, Pratt et al. (2010) found that the frequency of internet use and online purchasing significantly increased the probability of being targeted by internet fraud.”
From Profiling consumers who reported mass marketing scams: demographic characteristics and emotional sentiments associated with victimization (2024) · cites this paper as Pratt et al. (2010)
Citations
Cites
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Regression Models for Categorical Dependent Variables Using Stata
Guzmán, J. (2013) · Puerto Rico health sciences journal · Cited by 5,304
Statistical Methods for Social Scientists
(1977) · Elsevier eBooks · doi:10.1016/c2009-0-22083-6 · Cited by 1,880
Gardner, W. P., Mulvey, E. P., & Shaw, E. C. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.118.3.392 · Cited by 1,840
Situational Crime Prevention: Successful Case Studies
Clarke, R. V. (1992) · Medical Entomology and Zoology · Cited by 1,618
Sampling Methods for Random Digit Dialing
Waksberg, J. (1978) · Journal of the American Statistical Association · doi:10.1080/01621459.1978.10479995 · Cited by 1,386
Clarke, R. V. (1995) · Crime and Justice · doi:10.1086/449230 · Cited by 1,215
On risk, convenience, and Internet shopping behavior
Bhatnagar, A., Misra, S., & Rao, H. R. (2000) · Communications of the ACM · doi:10.1145/353360.353371 · Cited by 1,089
Assessing Macro-Level Predictors and Theories of Crime: A Meta-Analysis
Pratt, T. C., & Cullen, F. T. (2005) · Crime and Justice · doi:10.1086/655357 · Cited by 995
Self-citation
Research works printed but not linked: 35
- American Association for Public Opinion Research., 2004, Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys
- Anderson, Keith B., 2004, Consumer Fraud in the United States: An FTC Survey
- Berg, Sara. 2008. ‘‘Preventing Identity Theft through Information Technology.’’ Pp. 151-67 in Perspectives on Identity Theft, edited by M. M. McNally and G. R. Newman. Monsey, NY: Criminal Justice Press.
- Budd, Tracey., 1999, Burglary of Domestic Dwellings: Findings from the British Crime Survey
- Chang, Joshua, 2004, ’’ Journal of American Academy of Business, 5, 171
- Clarke, Ronald V., 1999, Hot Products: Understanding, Anticipating, and Reducing Demand for Stolen Goods (Police Research Series, Paper 112)
- Copes, Heath and Lynne Vieraitis. 2008. ‘‘The Risks, Rewards, and Strategies of Stealing Identities.’’ Pp. 87-110 in Perspectives on Identity Theft. Crime Prevention Studies. Vol. 23, edited by M. McNally and G. R. Newman. Monsey, NY: Criminal Justice Press.
- Criminal Law Reporter., 2006, ’’ Criminal Law Reporter, 78, 725
- Eck, John E. and David Weisburd. 1995. ‘‘Crime Places in Crime Theory.’’ Pp. 1-33 in Crime and Place, Crime Prevention Studies. Vol. 4, edited by J. E. Eck and D. Weisburd. Monsey, NY: Criminal Justice Press.
- Fallows, Deborah., 2005, How Women and Men Use the Internet
- Federal Bureau of Investigation., 2001, Press release: Internet fraud investigation ‘‘operation cyber loss.’’
- Federal Trade Commission., 2006, Consumer Fraud and Identity Theft Complaint Data
- Ferraro, Monique Mattei, 2004, Investigating Child Exploitation and Pornography
- Gelber, Alexandra., 2006, ’’ United States Attorney’s Bulletin, 54, 3
- Harris Poll., 2005, Harris Interactive Poll.’’ Retrieved March, 5, 2010
- Hesseling, René B. P. 1995. ‘‘Displacement: A Review of the Literature.’’ Pp. 197-230 in Crime Prevention Studies. Vol. 3, edited by R. V. Clarke. Monsey, NY: Criminal Justice Press.
- Hindelang, Michael J., 1978, Victims of Personal Crime
- Holtfreter, Kristy, 2006, St. Thomas Law Review, 18, 761
- Horrigan, John B., 2008, Online Shopping
- Internet Crime Complaint Center., 2006, Internet Crime Report
- Jöreskog, Karl G., 1996, PRELIS 2: User’s Reference Guide
- Korgaonkar, Pradeep K., 1999, Journal of Advertising Research, 39, 53
- McNally, Megan M., 2008, Crime Prevention Studies, 23
- Miethe, Terance, 1994, Crime and Its Social Context: Toward and Integrated Theory of Offenders, Victims, and Situations
- Newman, Graeme R. 2008. ‘‘Identity Theft and Opportunity.’’ Pp. 9-31 in Perspectives on Identity Theft. Crime Prevention Studies. Vol. 23 , edited by M. M. McNally and G. R. Newman. Monsey, NY: Criminal Justice Press.
- Nielsen Online., 2008, Nielsen Online Reports Topline U.S. data for March 2008
- Parks Associates., 2008, Only One in Five Households Has Never Used E-Mail
- Pew Research Center., 2004, Survey Experiment Shows Polls Face Growing Resistance, but Still Representative
- Pontell, Henry N., Gregory C. Brown, and Anastasia Tosouni . 2008. ‘‘Stolen Identities: A Victim Survey.’’ Pp. 57-85 in Perspectives on Identity Theft. Crime Prevention Studies. Vol. 23, edited by M. M. McNally and G. R. Newman. Monsey, NY: Criminal Justice Press.
- Titus, Richard. 2001. ‘‘Personal Fraud and Its Victims.’’ Pp. 57-74 in Crimes of Privilege: Readings in White-Collar Crime, edited by N. Shover and J. P. Wright. Oxford, UK: Oxford University Press.
- U.S. Census Bureau., 2008, Projected Online Retail Sales
- U.S. Department of Commerce., 2008, U.S. Census Bureau News: Quarterly Retail E-Commerce Sales, 4th Quarter 2007
- U.S. Department of Justice., 2008, Crime in the United States, 2006
- Willison, Robert. 2008. ‘‘Applying Situational Crime Prevention to the Information Systems Security Context.’’ Pp. 169-92 in Perspectives on Identity Theft. Crime Prevention Studies. Vol. 23, edited by M. M. McNally and G. R. Newman. Monsey, NY: Criminal Justice Press.
- Wilson, Debbie, 2006, ‘‘Fraud and Technology Crimes: Findings from the 2003/04 British Crime Survey, the 2004 Offending, Crime and Justice Survey and Administrative Sources. Online Report 9/06.’’
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Arthur, J. K. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6556708
Iweriebor, L. E., & Lewis, E. J. M. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-1016-7.ch012
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Seo, W., & Ahn, J. (2026) · Decision Support Systems · doi:10.1016/j.dss.2026.114686
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Nikkhah, H. R., Sarabadani, J., Grover, V., & Shuva, S. (2026) · Information & Management · doi:10.1016/j.im.2026.104369
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Shen, L., & Sood, G. (2026) · Information Communication & Society · doi:10.1080/1369118x.2026.2665253
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Metadata
- Authors
- Pratt, T. C., Holtfreter, K., & Reisig, M. D.
- Affiliations
- Arizona State University (US)
- Corresponding author
- Pratt, Travis C.
- Venue
- Journal of Research in Crime and Delinquency
- Publisher
- SAGE Publications
- Published
- 2010-08
- Volume
- 47
- Issue
- 3
- Pages
- 267-296
- ISSN
- 0022-4278 (ISSN-L)
- 1552-731X
- OpenAlex
- W2161881360
- Cited by
- 411
- References
- 78
- Citations by year
- 2026: 27 · 2025: 26 · 2024: 38 · 2023: 35 · 2022: 19 · 2021: 33 · 2020: 35 · 2019: 30 · 2018: 29 · 2017: 25 · 2016: 32 · 2015: 28 · 2014: 17 · 2013: 18 · 2012: 11
- FWCI
- 33.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Research in Crime and Delinquency (publishedVersion)
- Topics
- Social Sciences › Law › Cybercrime and Law Enforcement Studies
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Law › Criminal Justice and Penology
- Keywords
- routine activity theory, online fraud, cybercrime, online consumer behavior, sociodemographic factors, online purchase, situational crime prevention, mediation
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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 ›
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