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2.4 - Acquisitive Crime

from Part II - Psychology and Criminal Behaviour

Published online by Cambridge University Press:  02 December 2021

Jennifer M. Brown
Affiliation:
London School of Economics and Political Science
Miranda A. H. Horvath
Affiliation:
University of Suffolk
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Summary

Acquisitive crime is a wide-ranging category in which the offender derives material gain by illegal means, usually from another person, but sometimes from organisations. The category includes shoplifting, burglary, robbery, larceny, piracy, and fraud. There are some inherent similarities in the motivations underpinning these crimes, but the differences are worthy of examination and manifest in the investigative processes of detection and prevention. As with many other types of crime, there is no simple underlying theoretical position that leads to an explanation for acquisitive, there is no one personality type associated with theft or armed robbery or piracy. This chapter examines some of the complex psychological explanations for people acquiring property and goods that do not belong to them, including evolutionary models, mental disorder, psychopathy, gender effects, cyberpsychology and individual vs social factors.

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Publisher: Cambridge University Press
Print publication year: 2021

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References

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Association Publishing.Google Scholar
Bonić, L., & Stojilković, M. (2018). Strengthening of the regulatory framework aimed at financial stability and prevention of big banking scandals. TEME, 41(4), 839853.Google Scholar
BRC. (2019). Retail Crime Survey. BRC.Google Scholar
Brooks, N., Fritzon, K., & Croom, S. (2020). Corporate psychopathy: entering the paradox and emerging unscathed. In Corporate Psychopathy (pp. 327365). Palgrave Macmillan.Google Scholar
Chiluwa, I. M. (2019). “Truth,” lies, and deception in Ponzi and pyramid schemes. In Handbook of research on deception, fake news, and misinformation online (pp. 439458). IGI Global.Google Scholar
Corcoran, J., Zahnow, R., Kimpton, A., Wickes, R., & Brunsdon, C. (2019). The temporality of place: Constructing a temporal typology of crime in commercial precincts. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808319846904Google Scholar
Drummond, H. (2008). The dynamics of organizational collapse: The case of Barings Bank. Routledge.CrossRefGoogle Scholar
Edwards, B. G., Albertson, E., & Verona, E. (2017). Dark and vulnerable personality trait correlates of dimensions of criminal behavior among adult offendersJournal of Abnormal Psychology126(7), 921.Google Scholar
Egan, V., & Taylor, D. (2010). Shoplifting, unethical consumer behaviour, and personality. Personality and Individual Differences, 48(8), 878883.Google Scholar
Eigner, P., & Umlauft, T. S. (2015). The Great Depression (s) of 1929–1933 and 2007–2009? Parallels, differences and policy lessons (Crisis History Working Paper No. 2). Hungarian Academy of Science.Google Scholar
Fagbaibi, S. O., Yahya, Y. I., & Longe, O. B. (2012). On the uses of data mining techniques for crime profiling Computing, Information Systems & Development Informatics Journal 3(3), 6168.Google Scholar
Garcia-Retamero, R., & Dhami, M. K. (2009). Take-the-best in expert-novice decision strategies for residential burglary. Psychonomic Bulletin & Review, 16(1), 163169.CrossRefGoogle ScholarPubMed
Goldstein, A. M., & Epstein, S. D. (2008). Personality testing in employment: useful business tool or civil rights violation? The Labor Lawyer, 24(2), 243252.Google Scholar
Goodwill, A. M., Stephens, S., Oziel, S., Yapp, J., & Bowes, N. (2012). Multidimensional latent classification of “street robbery” offences. Journal of Investigative Psychology and Offender Profiling, 9(1), 93109.CrossRefGoogle Scholar
Hockey, D. (2016). Burglary crime scene rationality of a select group of non-apprehend burglars. SAGE Open, 6(2). https://doi.org/10.1177/2158244016640589Google Scholar
Hoertel, N., Dubertret, C., Schuster, J. P., & Le Strat, Y. (2012). Sex differences in shoplifting: results from a national sample. The Journal of nervous and mental disease, 200(8), 728733.CrossRefGoogle ScholarPubMed
Konstam, A. (2019). The pirate world: a history of the most notorious sea robbers. Bloomsbury.Google Scholar
Kranacher, M. J., & Riley, R. (2019). Forensic accounting and fraud examination. John Wiley.Google Scholar
Lenz, T., & MagShamhráin, R. (2012). Inventing diseases: kleptomania, agoraphobia and resistance to modernity. Society, 49(3), 279283.CrossRefGoogle Scholar
Mangot, A. (2014). Neurobiology of kleptomania: an overview. Sri Lanka Journal of Psychiatry, 5(2).Google Scholar
Matsumoto, T., & Sakuragi, H. (2018). Deposit and theft? Two unusual interactions over wild plant food between adult chimpanzees in Mahale. PanAfrica News, 8.Google Scholar
McDonald, O. (2019). Holding bankers to account A decade of market manipulation, regulatory failures and regulatory reforms Manchester University Press.Google Scholar
Ministry of Justice (MoJ). (2019). Electronic monitoring: GPS satellite tagging handbook. UK Ministry of Justice.Google Scholar
Morgan, R., & Oudekerk, B (2019). Criminal victimization, 2018. Bureau of Justice Statistics, US Department of Justice.Google Scholar
National Association for Shoplifting Prevention. (2019). We help people who have nowhere else to turn. www.shopliftingprevention.org/self-help-support-center/Google Scholar
National Retail Federation. (2018). 2018 National Retail Security Survey. www.nrf.comGoogle Scholar
Office for National Statistics. (2019). Crime in England and Wales: Quarterly data tables. Office for National Statistics.Google Scholar
SFO. (2019). SFO concludes investigation into LIBOR manipulation. www.sfo.gov.uk/2019/10/18/sfo-concludes-investigation-into-libor-manipulation/Google Scholar
Smith, J. (2003). The nature of personal robbery. https://psycnet.apa.org/record/649622007–001Google Scholar
Spectator. (2017). A whistle-blower mystery that illuminates the banking sector’s inner turmoil. https://www.spectator.co.uk/2017/04/Google Scholar
Stein, M. (2000). The risk taker as shadow: a psychoanalytic view of the collapse of Baring’s bank. Journal of Management Studies, 37(8), 12151230.Google Scholar
Stotland, E. (1977). White collar criminals. Journal of Social Issues, 33(4), 179196.Google Scholar
Sulthana, N., Singh, M., & Vijaya, K. (2015). Kleptomania – the compulsion to steal. American Journal of Pharmtech. Research, 5(3).Google Scholar
Sutherland, E (1939, December). White-collar criminality. Presidential address to the American Sociological Society, Philadelphia.Google Scholar
Sutherland, E. (1949). White collar crime. Dryden.Google Scholar
Synnott, J., Canter, D., Youngs, D., & Ioannou, M. (2016). Variations in the journey from crime: Examples from tiger kidnapping. Journal of Investigative Psychology and Offender Profiling, 13(3), 239252.Google Scholar
Talih, F. R. (2011). Kleptomania and potential exacerbating factors: a review and case report. Innovations in Clinical Neuroscience, 8(10), 35.Google Scholar
Taylor, E. R. (2017). On the edge of reason? Armed robbery, affective transgression, and bounded rationality. Deviant Behaviour, 38(8), 928940.Google Scholar
Taylor, E. R., Kelly, J., Valescu, S., Reynolds, G. S., Sherman, J., & German, V. (2001). Is stealing a gateway crime? Community Mental Health Journal, 37(4), 347358.Google Scholar
Tiratelli, M., Bradford, B., & Yesberg, J. (2020). The political economy of crime: Did universal credit increase crime rates? https://doi.org/10.31235/osf.io/e9ws8CrossRefGoogle Scholar
US, DoJ (2009). United States v. Bernard L. Madoff Case 1:09-cr-00213 Department of Justice, USA.Google Scholar
Vousinas, G. (2019) Advancing theory of fraud: the SCORE model Journal of Financial Crime, 26(1). https://doi.org/10.1108/JFRC-02–2015–0011CrossRefGoogle Scholar
Wolfe, D. T., & Hermanson, D. R. (2004). The fraud diamond: Considering the four elements of fraud. CPA journal, 74(12), 3842.Google Scholar

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