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How the detection of insurance fraud succeeds and fails.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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How the detection of insurance fraud succeeds and fails. / Morley, N.J.; Ball, L.J.; Ormerod, T.C.
In: Psychology, Crime and Law, Vol. 12, No. 2, 04.2006, p. 163-180.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Morley, NJ, Ball, LJ & Ormerod, TC 2006, 'How the detection of insurance fraud succeeds and fails.', Psychology, Crime and Law, vol. 12, no. 2, pp. 163-180. https://doi.org/10.1080/10683160512331316325

APA

Morley, N. J., Ball, L. J., & Ormerod, T. C. (2006). How the detection of insurance fraud succeeds and fails. Psychology, Crime and Law, 12(2), 163-180. https://doi.org/10.1080/10683160512331316325

Vancouver

Morley NJ, Ball LJ, Ormerod TC. How the detection of insurance fraud succeeds and fails. Psychology, Crime and Law. 2006 Apr;12(2):163-180. doi: 10.1080/10683160512331316325

Author

Morley, N.J. ; Ball, L.J. ; Ormerod, T.C. / How the detection of insurance fraud succeeds and fails. In: Psychology, Crime and Law. 2006 ; Vol. 12, No. 2. pp. 163-180.

Bibtex

@article{0b8656d182554a90980ba9ff24bd9c8b,
title = "How the detection of insurance fraud succeeds and fails.",
abstract = "Insurance fraud is a serious and growing problem, and there is widespread recognition that traditional approaches to tackling fraud are inadequate. Studies of insurance fraud have typically focused upon identifying characteristics of fraudulent claims and claimants, and this focus is apparent in the current wave of forensic and data-mining technologies for fraud detection. An alternative approach is to understand and then optimize existing practices in the detection of fraud. We report an ethnographic study that explored the nature of motor insurance fraud-detection practices in two leading insurance companies. The results of the study suggest that an occupational focus on the practices of fraud detection can complement and enhance forensic and data-mining approaches to the detection of potentially fraudulent claims.",
author = "N.J. Morley and L.J. Ball and T.C. Ormerod",
note = "The final, definitive version of this article has been published in the Journal, Psychology, Crime & Law, 12 (2), 2006, {\textcopyright} Informa Plc",
year = "2006",
month = apr,
doi = "10.1080/10683160512331316325",
language = "English",
volume = "12",
pages = "163--180",
journal = "Psychology, Crime and Law",
issn = "1068-316X",
publisher = "Routledge",
number = "2",

}

RIS

TY - JOUR

T1 - How the detection of insurance fraud succeeds and fails.

AU - Morley, N.J.

AU - Ball, L.J.

AU - Ormerod, T.C.

N1 - The final, definitive version of this article has been published in the Journal, Psychology, Crime & Law, 12 (2), 2006, © Informa Plc

PY - 2006/4

Y1 - 2006/4

N2 - Insurance fraud is a serious and growing problem, and there is widespread recognition that traditional approaches to tackling fraud are inadequate. Studies of insurance fraud have typically focused upon identifying characteristics of fraudulent claims and claimants, and this focus is apparent in the current wave of forensic and data-mining technologies for fraud detection. An alternative approach is to understand and then optimize existing practices in the detection of fraud. We report an ethnographic study that explored the nature of motor insurance fraud-detection practices in two leading insurance companies. The results of the study suggest that an occupational focus on the practices of fraud detection can complement and enhance forensic and data-mining approaches to the detection of potentially fraudulent claims.

AB - Insurance fraud is a serious and growing problem, and there is widespread recognition that traditional approaches to tackling fraud are inadequate. Studies of insurance fraud have typically focused upon identifying characteristics of fraudulent claims and claimants, and this focus is apparent in the current wave of forensic and data-mining technologies for fraud detection. An alternative approach is to understand and then optimize existing practices in the detection of fraud. We report an ethnographic study that explored the nature of motor insurance fraud-detection practices in two leading insurance companies. The results of the study suggest that an occupational focus on the practices of fraud detection can complement and enhance forensic and data-mining approaches to the detection of potentially fraudulent claims.

U2 - 10.1080/10683160512331316325

DO - 10.1080/10683160512331316325

M3 - Journal article

VL - 12

SP - 163

EP - 180

JO - Psychology, Crime and Law

JF - Psychology, Crime and Law

SN - 1068-316X

IS - 2

ER -