Profiling Victims of Investment Fraud: Mindsets and Risky Behaviors
Abstract
Millions of Americans are targeted by investment scams, resulting in billions of dollars lost each year. Previous research indicates that investment fraud victims are more likely to be male, white, and married, and to have higher socioeconomic status compared to the general US population, but little research examines what behaviors and mindsets differentiate them from other investors. A telephone survey was administered to 214 investment fraud victims and 813 general investors recruited using random digit dialing. Based on the opportunity model of predatory victimization, the aim was to identify differences in investment behaviors and psychological mindsets that may affect exposure to investment scams and make individuals more attractive and susceptible targets. In addition to being older and male, victims were more materialistic than general investors and were more frequent stock traders, and purchased more investments sold through unsolicited calls, emails, television advertisements, or “free lunch” seminars, but were less likely to invest based on a social network member’s recommendation. As more retirees begin to take on managing their retirement assets, many may be tempted by unreasonable investment returns promised by unscrupulous brokers. Findings point to specific areas where investor education is needed to counteract poor investment decision-making and risky mindsets.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Many fraud studies focus on a narrow subtype of mass marketing scams, and risk factors do not necessarily generalize across the universe of consumer fraud.
“One reason is that many fraud studies focus on a narrow subtype of mass marking scams-such as investment fraud or romance scams (e.g., Buchanan and Whitty 2014;Deliema et al. 2020), and risk factors do not necessarily generalize across the universe of consumer fraud.”
From Profiling consumers who reported mass marketing scams: demographic characteristics and emotional sentiments associated with victimization (2024) · cites this paper as Deliema et al. 2020
DeLiema, Pak, and Shadel (2020) found that investment fraud victims were more likely to be male compared to general investors.
“DeLiema, Pak, and Shadel (2020) found that compared to general investors, investment fraud victims were more likely to be male.”
From Profiling consumers who reported mass marketing scams: demographic characteristics and emotional sentiments associated with victimization (2024) · cites this paper as DeLiema, Pak, and Shadel 2020
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.51.6.1173 · Cited by 91,542 · see citing works
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532 · see citing works
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810 · see citing works
Boys will be Boys: Gender, Overconfidence, and Common Stock Investment
Barber, B. M., & Odean, T. (2001) · The Quarterly Journal of Economics · doi:10.1162/003355301556400 · Cited by 5,276 · see citing works
The Persuasion Knowledge Model: How People Cope with Persuasion Attempts
Friestad, M., & Wright, P. (1994) · Journal of Consumer Research · doi:10.1086/209380 · Cited by 3,811 · see citing works
A Consumer Values Orientation for Materialism and Its Measurement: Scale Development and Validation
Richins, M. L., & Dawson, S. A. (1992) · Journal of Consumer Research · doi:10.1086/209304 · Cited by 3,381 · see citing works
(1977) · Medical Entomology and Zoology · Cited by 1,496 · see citing works
The Material Values Scale: Measurement Properties and Development of a Short Form
Richins, M. L. (2004) · Journal of Consumer Research · doi:10.1086/383436 · Cited by 1,427 · see citing works
Campbell, M. C., & Kirmani, A. (2000) · Journal of Consumer Research · doi:10.1086/314309 · Cited by 1,342 · see citing works
Fox, J. (1991) · doi:10.4135/9781412985604 · Cited by 1,008 · see citing works
Social Inequality and Predatory Criminal Victimization: An Exposition and Test of a Formal Theory
Cohen, L. E., Kluegel, J. R., & Land, K. C. (1981) · American Sociological Review · doi:10.2307/2094935 · Cited by 836 · see citing works
Applying Routine Activity Theory to Cybercrime: A Theoretical and Empirical Analysis
Leukfeldt, R., & Yar, M. (2016) · Deviant Behavior · doi:10.1080/01639625.2015.1012409 · Cited by 429 · see citing works
DENYING THE GUILTY MIND: ACCOUNTING FOR INVOLVEMENT IN A WHITE‐COLLAR CRIME*
Benson, M. L. (1985) · Criminology · doi:10.1111/j.1745-9125.1985.tb00365.x · Cited by 415 · see citing works
Pratt, T. C., Holtfreter, K., & Reisig, M. D. (2010) · Journal of Research in Crime and Delinquency · doi:10.1177/0022427810365903 · Cited by 411 · see citing works
LOW SELF‐CONTROL, ROUTINE ACTIVITIES, AND FRAUD VICTIMIZATION*
HOLTFRETER, K., REISIG, M. D., & PRATT, T. C. (2008) · Criminology · doi:10.1111/j.1745-9125.2008.00101.x · Cited by 375 · see citing works
A random walk down Wall Street: the time-tested strategy for successful investing
(2015) · Choice Reviews Online · doi:10.5860/choice.191812 · Cited by 316 · see citing works
Correlates of susceptibility to scams in older adults without dementia
James, B. D., Boyle, P. A., & Bennett, D. A. (2014) · Journal of Elder Abuse & Neglect · doi:10.1080/08946566.2013.821809 · Cited by 280 · see citing works
The Demographics of Overconfidence
Bhandari, G., & Deaves, R. (2006) · Journal of Behavioral Finance · doi:10.1207/s15427579jpfm0701_2 · Cited by 252 · see citing works
Seuntjens, T. G., Zeelenberg, M., van de Ven, N., & Breugelmans, S. (2015) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000031 · Cited by 240 · see citing works
The Gender Gap on Wall Street: An Empirical Analysis of Confidence in Investment Decision Making
Estes, R. W., & Hosseini, J. (1988) · The Journal of Psychology · doi:10.1080/00223980.1988.9915532 · Cited by 211 · see citing works
Victimization of Persons by Fraud
Titus, R. M., Heinzelmann, F., & Boyle, J. M. (1995) · Crime & Delinquency · doi:10.1177/0011128795041001004 · Cited by 200 · see citing works
Elder Fraud and Financial Exploitation: Application of Routine Activity Theory
DeLiema, M. (2018) · The Gerontologist · doi:10.1093/geront/gnw258 · Cited by 156 · see citing works
Self-citationFranklin, C. A., Franklin, T. W., Nobles, M. R., & Kercher, G. A. (2012) · Criminal Justice and Behavior · doi:10.1177/0093854812453673 · Cited by 135 · see citing works
Financial fraud among older Americans: Evidence and implications
DeLiema, M., Deevy, M., Lusardi, A., & Mitchell, O. S. (2020) · The Journals of Gerontology Series B · doi:10.1093/geronb/gby151 · Cited by 132 · see citing works
Self-citationMild Cognitive Impairment and Susceptibility to Scams in Old Age
Han, S. D., Boyle, P. A., James, B. D., Yu, L., & Bennett, D. A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150442 · Cited by 117 · see citing works
Shopping fraud victimization among the elderly
Reisig, M. D., & Holtfreter, K. (2013) · Journal of Financial Crime · doi:10.1108/jfc-03-2013-0014 · Cited by 90 · see citing works
The convergent validity of five dispositional greed scales
Mussel, P., Rodrigues, J., Krumm, S., & Hewig, J. S. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.05.006 · Cited by 76 · see citing works
Victims of fraud: comparing victims of white collar and violent crime.
Ganzini, L. K., McFarland, B. H., & Bloom, J. D. (1990) · PubMed · Cited by 71 · see citing works
Stotland, E. (1977) · Journal of Social Issues · doi:10.1111/j.1540-4560.1977.tb02531.x · Cited by 59 · see citing works
Situational Materialism: How Entering Lotteries May Undermine Self-Control
Kim, H. (2013) · Journal of Consumer Research · doi:10.1086/673191 · Cited by 57 · see citing works
Fraud and the American Dream: Toward an Understanding of Fraud Victimization
Trahan, A., Marquart, J. W., & Mullings, J. L. (2005) · Deviant Behavior · doi:10.1080/01639620500218294 · Cited by 56 · see citing works
A Random Walk Down Wall Street: The Time-Tested Strategy For Successful Investing
Sangvinatsos, A. A. (2016) · Quantitative Finance · doi:10.1080/14697688.2016.1256598 · Cited by 46 · see citing works
Tricks of the Trade: Motivating Sales Agents to Con Older Adults
DeLiema, M., Yon, Y., & Wilber, K. H. (2014) · The Gerontologist · doi:10.1093/geront/gnu039 · Cited by 43 · see citing works
Self-citationBolton, L. E., Bloom, P. N., & Cohen, J. B. (2011) · Journal of Marketing Research · doi:10.1509/jmkr.48.spl.s51 · Cited by 42 · see citing works
Sociolegal change in consumer fraud: From victim-offender interactions to global networks
Holtfreter, K., Slyke, S. R. V., & Blomberg, T. G. (2005) · Crime Law and Social Change · doi:10.1007/s10611-006-9006-8 · Cited by 39 · see citing works
How Does Survey Context Impact Self-reported Fraud Victimization?
Beals, M. E., Carr, D. C., Mottola, G. R., Deevy, M., & Carstensen, L. L. (2015) · The Gerontologist · doi:10.1093/geront/gnv082 · Cited by 23 · see citing works
Blum, R. (1972) · Thomas eBooks · Cited by 22 · see citing works
Findings from a Pilot Study to Measure Financial Fraud in the United StatesPreprint
DeLiema, M., Mottola, G. R., & Deevy, M. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2914560 · Cited by 21 · see citing works
Self-citationFairfax, L. M. (2001) · Digital Commons at University of Maryland Carey Law (University of Maryland Francis King Carey School of Law) · Cited by 17 · see citing works
Stock market scams, shell companies, penny shares, boiler rooms and cold calling: The UK experience
Barnes, P. A. (2016) · International journal of law, crime and justice · doi:10.1016/j.ijlcj.2016.11.001 · Cited by 15 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Financial Inclusion Paradigm Shift in the Postpandemic Period. Digital-Divide and Gender Gap
Vasile, V., Panait, M. C., & Apostu, S. A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182010938 · Cited by 86 · see citing works
Correlates of responding to and becoming victimized by fraud: Examining risk factors by scam type
DeLiema, M., Li, Y., & Mottola, G. R. (2022) · International Journal of Consumer Studies · doi:10.1111/ijcs.12886 · Cited by 73 · see citing works
Self-citationFraud prediction using machine learning: The case of investment advisors in Canada
Lokanan, M. E., & Sharma, K. (2022) · Machine Learning with Applications · doi:10.1016/j.mlwa.2022.100269 · Cited by 65 · see citing works
Financial literacy overconfidence and investment fraud victimization
Xiao, X., Li, X., & Zhou, Y. (2022) · Economics Letters · doi:10.1016/j.econlet.2022.110308 · Cited by 48 · see citing works
Who Is Next? A Study on Victims of Financial Fraud in Japan
Kadoya, Y., Khan, M. S. R., Narumoto, J., & WATANABE, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.649565 · Cited by 46 · see citing works
The role of social-psychological factors of victimity on victimization of online fraud in China
Zhang, Z., & Ye, Z. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1030670 · Cited by 35 · see citing works
Mueller, E. A., Wood, S. A., Hanoch, Y., Huang, Y., & Reed, C. L. (2020) · Journal of Elder Abuse & Neglect · doi:10.1080/08946566.2020.1736704 · Cited by 36 · see citing works
Understanding the rise of fraud in England and Wales through field theory: Blip or flip?
Button, M., Hock, B., Shepherd, D., & Gilmour, P. (2023) · Journal of Economic Criminology · doi:10.1016/j.jeconc.2023.100012 · Cited by 34 · see citing works
Financial frauds’ victim profiles in developing countries
Lev, E. B., Maha, L., & Topliceanu, Ș. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.999053 · Cited by 37 · see citing works
Analytical reasoning reduces internet fraud susceptibility
Kelley, N. J., Hurley-Wallace, A. L., Warner, K. L., & Hanoch, Y. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107648 · Cited by 36 · see citing works
Predicting Fraud Victimization Using Classical Machine Learning
Lokanan, M. E., & Liu, S. (2021) · Entropy · doi:10.3390/e23030300 · Cited by 29 · see citing works
Who is Victimized by Fraud? Evidence from Consumer Protection Cases
Raval, D. (2021) · Journal of Consumer Policy · doi:10.1007/s10603-020-09466-w · Cited by 28 · see citing works
Fan, J. X., & Yu, Z. (2021) · Journal of Elder Abuse & Neglect · doi:10.1080/08946566.2021.1937428 · Cited by 28 · see citing works
The application of scam compliance models to investment fraud offending
Lacey, D., Goode, S., Parwada, J. T., & Gibson, D. (2020) · Journal of Criminological Research Policy and Practice · doi:10.1108/jcrpp-12-2019-0073 · Cited by 24 · see citing works
Preventing fraud victimisation against older adults: Towards a holistic model for protection
Button, M., Karagiannopoulos, V., Lee, J., Suh, J. B., & Jung, J. (2024) · International journal of law, crime and justice · doi:10.1016/j.ijlcj.2024.100672 · Cited by 28 · see citing works
Dadà, C. B., Colautti, L., Rosi, A., Cavallini, E., Antonietti, A., & Iannello, P. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108734 · Cited by 25 · see citing works
DeBerry‐Spence, B., Torres, L. E. T., Sengupta, R., Matsumoto, K., & Chen, J. (2022) · Journal of Public Policy & Marketing · doi:10.1177/07439156221145330 · Cited by 22 · see citing works
Consumer Surveillance and Financial Fraud
Bian, B., Pagel, M., Tang, H., & Raval, D. R. (2023) · National Bureau of Economic Research · doi:10.3386/w31692 · Cited by 22 · see citing works
Fraud victimization across the lifespan: evidence on repeat victimization using perpetrator data
DeLiema, M., Langton, L. L., Brannock, M. D., & Preble, E. A. (2024) · Journal of Elder Abuse & Neglect · doi:10.1080/08946566.2024.2321923 · Cited by 23 · see citing works
Self-citationDeLiema, M., & Witt, P. (2024) · Security Journal · doi:10.1057/s41284-023-00401-5 · Cited by 20 · see citing works
Self-citationAnderson, M., March, E., Land, L. P. W., & Burken, C. B.-V. (2024) · Journal of Criminology · doi:10.1177/26338076241248176 · Cited by 28 · see citing works
Vulnerability and fraud: evidence from the COVID-19 pandemic
Zhang, Y., Wu, Q., Zhang, T., & Yang, L. (2022) · Humanities and Social Sciences Communications · doi:10.1057/s41599-022-01445-5 · Cited by 20 · see citing works
DeLiema, M., Gao, S., Brannock, M. D., & Langton, L. L. (2024) · Innovation in Aging · doi:10.1093/geroni/igae111 · Cited by 20 · see citing works
Self-citationSingh, K. N., & Misra, G. (2022) · Journal of Financial Crime · doi:10.1108/jfc-07-2022-0167 · Cited by 22 · see citing works
Financial fraud and individual investment behavior
Hagen, J., & Malisa, A. (2022) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2022.09.015 · Cited by 16 · see citing works
Button, M., Shepherd, D., Hawkins, C., & Tapley, J. (2024) · Crime Prevention and Community Safety · doi:10.1057/s41300-024-00218-3 · Cited by 16 · see citing works
Sirohi, N. J., & Misra, G. (2024) · Crime Law and Social Change · doi:10.1007/s10611-024-10138-w · Cited by 17 · see citing works
How to win trust: The case of P2P financial fraud in China
Lo, T. W., & Kan, W. S. (2022) · Journal of Criminology · doi:10.1177/26338076221140894 · Cited by 14 · see citing works
Nguyen, N. T. H., Nguyen, A. T., To, H. T. N., & Le, T. T. H. (2023) · Journal of Financial Crime · doi:10.1108/jfc-12-2022-0299 · Cited by 14 · see citing works
Lim, H. S., & Letkiewicz, J. C. (2023) · Journal of Consumer Policy · doi:10.1007/s10603-023-09535-w · Cited by 18 · see citing works
The case for economic criminology
Button, M., & Shepherd, D. (2023) · Journal of Economic Criminology · doi:10.1016/j.jeconc.2023.100015 · Cited by 13 · see citing works
Whitty, M. T. (2025) · Cogent Social Sciences · doi:10.1080/23311886.2025.2563781 · Cited by 14 · see citing works
The determinants of investment fraud: A machine learning and artificial intelligence approach
Lokanan, M. E. (2022) · Frontiers in Big Data · doi:10.3389/fdata.2022.961039 · Cited by 11 · see citing works
Button, M., Hock, B., Suh, J. B., & Koh, C.-S. (2025) · Crime Law and Social Change · doi:10.1007/s10611-024-10186-2 · Cited by 10 · see citing works
Routine activities theory and food fraud victimization
Lee, B., Fenoff, R., & Spink, J. (2021) · Security Journal · doi:10.1057/s41284-021-00287-1 · Cited by 10 · see citing works
Investment scams: the effect of bias-induced gullibility on victimization propensity
Ahmad, Z. (2025) · Crime, law and social change · doi:10.1007/s10611-024-10187-1 · Cited by 10 · see citing works
Langton, L. L., DeLiema, M., Brannock, M. D., & Preble, E. A. (2024) · The British Journal of Criminology · doi:10.1093/bjc/azae033 · Cited by 8 · see citing works
Self-citationKuo, C., & Tsang, S.-S. (2023) · Deviant Behavior · doi:10.1080/01639625.2023.2244115 · Cited by 6 · see citing works
Bäckman, C., & Hanspal, T. (2022) · Financial Planning Review · doi:10.1002/cfp2.1137 · Cited by 8 · see citing works
“More intelligent, less emotive and more greedy”: Hierarchies of blame in online fraud
Nataraj-Hansen, S. (2024) · International journal of law, crime and justice · doi:10.1016/j.ijlcj.2024.100652 · Cited by 7 · see citing works
DeLiema, M., Volker, J., & Worley, A. (2023) · Victims & Offenders · doi:10.1080/15564886.2023.2244468 · Cited by 7 · see citing works
Self-citationFear of fraud amongst older adults: a hidden epidemic?
Button, M., Shepherd, D., Hawkins, C., & Tapley, J. (2025) · Security Journal · doi:10.1057/s41284-025-00485-1 · Cited by 6 · see citing works
Buy Now and Pay (Dearly) Later: Unraveling Consumer Financial Spinning
Mesly, O. (2021) · International Journal of Financial Studies · doi:10.3390/ijfs9040055 · Cited by 6 · see citing works
Why comply? Risk and efficacy perceptions drive compliance in mass marketing scams
Wood, S. A., Hengerer, D., Hanoch, Y., Liu, P., Xi, P. M., Paul, J., & Klapatch, L. (2023) · Journal of Elder Abuse & Neglect · doi:10.1080/08946566.2023.2197268 · Cited by 6 · see citing works
Predictors of fraud victimization among the older adults in China: A machine learning analysis
Xu, L., Xu, J., Tang, Y., Li, H., & Xiang-ming, W. (2025) · Legal and Criminological Psychology · doi:10.1111/lcrp.70008 · Cited by 5 · see citing works
Cuadra, J. M., Mandras, Y. S., Raya, M. R., Belardo, H. A. B., Lopez, R. P., & Rodriguez, J. G. E. (2025) · Review of Behavioral Finance · doi:10.1108/rbf-03-2025-0116 · Cited by 6 · see citing works
Extended editorial: preventing fraud and cybercrime in an ageing society
Button, M., Karagiannopoulos, V., Lee, J., Suh, J. B., & Jung, J. (2025) · Security Journal · doi:10.1057/s41284-025-00479-z · Cited by 4 · see citing works
Финансовое мошенничество в современном мире
Данилова, Е. П., & Портняга, Е. М. (2023) · Siberian Socium · doi:10.21684/2587-8484-2023-7-2-67-97 · Cited by 3 · see citing works
The Oversea Chinese Fund: A complex affinity-based Ponzi scheme
Boyle, P. P., Li, D., Peng, Z., & Yang, Y. (2025) · Journal of Economic Criminology · doi:10.1016/j.jeconc.2025.100142 · Cited by 4 · see citing works
Kasim, E. S., Muda, S., Zin, N. M., Padil, H. M., Ismail, N., & Yusuf, S. N. S. (2025) · Journal of Criminological Research Policy and Practice · doi:10.1108/jcrpp-04-2025-0030 · Cited by 4 · see citing works
Incorporating machine learning in dispute resolution and settlement process for financial fraud
Lokanan, M. E. (2023) · Journal of Computational Social Science · doi:10.1007/s42001-023-00202-1 · Cited by 4 · see citing works
Tjondro, E., Ester, C., Sardjono, Y. G., & Kusumawardhani, A. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2464309 · Cited by 3 · see citing works
The Role of Financial Spinning, Learning, and Predation in Market Failure
Mesly, O., Mavoori, H., & Huck, N. (2022) · Journal of the Knowledge Economy · doi:10.1007/s13132-021-00862-2 · Cited by 3 · see citing works
Who Became Victims of Financial Frauds during the COVID-19 Pandemic in Japan?
Khan, M. S. R., & Kadoya, Y. (2023) · Sustainability · doi:10.3390/su15042865 · Cited by 3 · see citing works
Amplifying Consumers’ Voice: The Federal Trade Commission’s Report Fraud Website Redesign
Grosz, M., & Raval, D. R. (2024) · Marketing Science · doi:10.1287/mksc.2023.0643 · Cited by 2 · see citing works
Palmisano, F. (2025) · Journal of Economic Psychology · doi:10.1016/j.joep.2025.102857 · Cited by 2 · see citing works
Huang, K., Wang, X., Zhou, J., & Liang, B. (2025) · Information Technology and People · doi:10.1108/itp-04-2024-0548 · Cited by 2 · see citing works
Mohammed, F., Mukred, M., Munir, M., & Khasro, I. T. N. (2026) · The Journal of Adult Protection · doi:10.1108/jap-11-2025-0043 · Cited by 2 · see citing works
The evolution of investment cyber scams: vulnerability and victim blaming in the cryptocurrency era
Whitty, M. T., & Sakzad, A. (2026) · Computers & Security · doi:10.1016/j.cose.2026.104950 · Cited by 2 · see citing works
Reducing Consumer Fraud and Scam Victimization Through Incubation
Waschka, L., & Cunha, M. (2026) · Journal of Consumer Policy · doi:10.1007/s10603-026-09619-3 · Cited by 2 · see citing works
Frauds and Their Controls: Some Scholarly Reflections
Levi, M. (2025) · Crime and Justice · doi:10.1086/736347 · Cited by 2 · see citing works
Artificial Intelligence in Social Media Advertising Raising Engagement and Ethical Concerns
Thakur, K., & Gupta, K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3775-3.ch011 · Cited by 1 · see citing works
Dulisse, B. C., Connealy, N. T., Harrison, A., & Logan, M. W. (2025) · Journal of White Collar and Corporate Crime · doi:10.1177/2631309x251387700 · Cited by 1 · see citing works
Dikshit, N., Srivastava, K., & Sav, S. K. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.106107 · Cited by 3 · see citing works
Chanenson, J., Matthews, T. L., Consolvo, S., Kelley, P. G., McClearn, J., Meiklejohn, S., Roy, A., Shelby, R. M., Thomas, K., & Hassoun, A. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790556 · Cited by 1 · see citing works
Scammers’ roles and online fraud process: Perspectives of the elder victims in Thailand
Cheurprakobkit, S., Mulaphong, D., Kitcharoen, P., & Visaetsilapanonta, P. (2026) · International Review of Victimology · doi:10.1177/02697580261443543 · Cited by 1 · see citing works
User interaction with digital platforms: A consumer protection perspective
Lew, N., & Raval, D. R. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2525996123 · Cited by 1 · see citing works
Fraud exposure and victimization among US military veterans: a comparison of two national surveys
Yaskewich, D. M. (2026) · Journal of Financial Crime · doi:10.1108/jfc-02-2026-0040 · Cited by 1 · see citing works
Followers of the pied piper of pensioners
Cuevas, C., Bernhardt, D., & Sanclemente, M. (2023) · Canadian Journal of Economics/Revue canadienne d économique · doi:10.1111/caje.12684 · Cited by 1 · see citing works
Safeguarding Retirement in the Age of ScamsPreprint
DeLiema, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5068931 · Cited by 1 · see citing works
Self-citationIncorporating Machine Learning in Dispute Resolution and Settlement Process for Financial FraudPreprint
', M. (2022) · Research Square · doi:10.21203/rs.3.rs-2133054/v1
Financial Exploitation in Canada: A Predictive Model using ML and AIPreprint
Wasdani, K. P., & Lokanan, M. E. (2023) · Research Square · doi:10.21203/rs.3.rs-2709173/v1
Internal Factors Influencing Vulnerability to Telecom Fraud
Wei, Z. (2023) · Advances in Economics Management and Political Sciences · doi:10.54254/2754-1169/6/20220185
Analisa Perbandingan Profil Korban Fraud di Berbagai WIlayah Pasca Pandemi Covid-19
Christian, N., Karen, K., Yenanda, K., & Evelyn, V. (2023) · E-Bisnis Jurnal Ilmiah Ekonomi dan Bisnis · doi:10.51903/e-bisnis.v16i1.1151
Zhao, X., & Wang, B. (2023) · Information Services & Use · doi:10.3233/isu-230198
Information and Investment Fraud Detection: Evidence from an Online ExperimentPreprint
Jiang, J., & Xiang, H. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4670617
(2024) · IAFOR International Conference on Arts & Humanities, official conference proceedings · doi:10.22492/issn.2432-4604.2024 · Cited by 1 · see citing works
Blaming Victims of Online Romance and Investment Frauds: An Analysis of Two Theoretical Perspectives
Nataraj-Hansen, S. (2024) · Queensland University of Technology · doi:10.5204/thesis.eprints.252784
The Eroded Generosity: The Hidden Cost of Investment FraudPreprint
Jiang, J., Xiang, H., & Zhang, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5159797
Preventive counselling against online fraud: Does this work?
Lee, Y., Koh, C.-S., & Suh, J. B. (2025) · Security Journal · doi:10.1057/s41284-025-00489-x
Cognitive ability and financial fraud victimization
Malisa, A., Hagen, J., & Nystedt, P. (2025) · European Journal of Finance · doi:10.1080/1351847x.2025.2585956
Ching, C. S., Sinnappan, S., & Periyayya, T. (2025) · Journal of Financial Crime · doi:10.1108/jfc-07-2025-0228 · Cited by 1 · see citing works
The role of individual and situational factors on repeat victimization of online fraud in China
Zhang, Z., & Ye, Z. (2026) · Security Journal · doi:10.1057/s41284-026-00535-2
Constructing Online Fraud Victimization Models: A Machine Learning Approach
Wang, H., & Wang, D. (2026) · Journal of Forensic Psychology Research and Practice · doi:10.1080/24732850.2026.2643611 · Cited by 1 · see citing works
Practitioner perspectives on what works in preventing fraud against older adults
Button, M., Karagiannopoulos, V., Shepherd, D., Kirby, A., Lee, J., Suh, J. B., Jung, J., & Koh, C.-S. (2026) · Journal of Economic Criminology · doi:10.1016/j.jeconc.2026.100213
Lei, Y., Lu, H., Zhang, Y., & Zhang, L. (2026) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2026.2656309
Rai, S., Ghosh, K., & Kumar, M. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-1603-9.ch001
Scam detection between individuals with and without prior victimization
Rong, Z., & Khan, M. M. H. (2026) · Computers & Security · doi:10.1016/j.cose.2026.104961
Şahin, D. B., Valdes, O. M., Mottola, G. R., Parker, A. M., Hyde, K., Smucker, S., & Hoch, E. (2026) · Journal of Consumer Affairs · doi:10.1111/joca.70051
Zhao, J., Zhu, Y., Zhang, T., & Yu, L. (2026) · Research Square · doi:10.21203/rs.3.rs-9497418/v1
Lam, G., Lau, B. H. P., Tsang, C.-K., Kwok, A. P. K., & Shum, E. N.-Y. (2026) · Frontiers in Sociology · doi:10.3389/fsoc.2026.1739787
Marbun, F. J., Simanjuntak, I., & Febriyani, S. (2026) · JURNAL MERCATORIA · doi:10.31289/mercatoria.v19i1.17738
Sarkar, G., Sachdeva, A., & Shukla, S. K. (2026) · doi:10.1145/3803632.3807887
From Perception to Protection: How Fraud Worry Shapes Investor Behavior
Sun, X., Zhang, Y., & Chatterjee, S. (2026) · International Journal of Financial Studies · doi:10.3390/ijfs14090245
FINANCIAL FRAUD DETECTION OVERCONFIDENCE AND FRAUD VICTIMIZATIONPreprint
Xiao, J. J., Valdes, O. M., & Mottola, G. R. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7507000
Not naive, just gullible: psycho-cognitive vulnerability and fraud victimization in Italy
Dadà, C. B., Colautti, L., Robba, M., Rosi, A., Cavallini, E., & Iannello, P. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.109203
Victims’ relational work in online investment fraud
Ren, R., & 艾云 (2026) · Sociology · doi:10.1177/00380385261487047
The geography of fintech-related financial harm: a multilevel analysis in the UK
Tran, T.-M., & Sohns, F. (2026) · Finance and Space · doi:10.1080/2833115x.2026.2738618
Mental Accounting Biases in Corporate Decision-Making: Evidence from Indian Managers
Sruthi, S. G., & Irshad, V. (2026) · International Journal of Engineering and Management Research · doi:10.31033/ijemr/16.5.2026.1949
The psychology of deception: exploring behavioral drivers of Ponzi investments
Nosita, F., Moeljadi, M., Sumiati, ., Ratnawati, K., & Wagay, J. A. (2026) · Journal of Financial Crime · doi:10.1108/jfc-11-2025-0400
- Authors
- Deliema, M., Shadel, D., & Pak, K.
- Affiliations
- University of Minnesota (US)
- AARP (US)
- Corresponding author
- Deliema, Marguerite
- ORCID
- Deliema, Marguerite
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-05-28
- Volume
- 46
- Issue
- 5
- Pages
- 904-914
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2955622632
- Cited by
- 100
- References
- 39
- Citations by year
- 2026: 25 · 2025: 21 · 2024: 12 · 2023: 19 · 2022: 14 · 2021: 6 · 2020: 3
- FWCI
- 7.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Consumer Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Fraud Watch Network
- AARP’s Fraud Watch Network
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Securities Regulation and Market Practices
- Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Keywords
- investment fraud, investment scams, opportunity model, materialism, retirement investing, investor education, investor decision-making
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