Academic literature on the topic 'Investigation of insurance fraud'
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Journal articles on the topic "Investigation of insurance fraud"
Boyer, M. Martin. "Centralizing Insurance Fraud Investigation*." Geneva Papers on Risk and Insurance Theory 25, no. 2 (December 2000): 159–78. http://dx.doi.org/10.1023/a:1008766413327.
Full textTseng, Lu-Ming. "Customer insurance frauds: the influence of fraud type, moral intensity and fairness perception." Managerial Finance 45, no. 3 (March 11, 2019): 452–67. http://dx.doi.org/10.1108/mf-04-2018-0162.
Full textvon Bieberstein, Frauke, and Jörg Schiller. "Contract design and insurance fraud: an experimental investigation." Review of Managerial Science 12, no. 3 (February 10, 2017): 711–36. http://dx.doi.org/10.1007/s11846-017-0228-1.
Full textMajewski, Wojciech. "Integrated Platform for Identification and Verification of Insurance Crime as a Modern Tool to Combat Insurance Fraud – Legal Conditions." Prawo Asekuracyjne 4, no. 101 (December 15, 2019): 70–83. http://dx.doi.org/10.5604/01.3001.0013.6743.
Full textKim, Yongbum, and Miklos A. Vasarhelyi. "A Model to Detect Potentially Fraudulent/Abnormal Wires of an Insurance Company: An Unsupervised Rule-Based Approach." Journal of Emerging Technologies in Accounting 9, no. 1 (December 1, 2012): 95–110. http://dx.doi.org/10.2308/jeta-50411.
Full textPustika Sukma, Dara, Adi Sulistiyono, and Widodo Tresno Novianto. "Fraud in Healthcare Service." SHS Web of Conferences 54 (2018): 03015. http://dx.doi.org/10.1051/shsconf/20185403015.
Full textMunavalli, Sahana, and Sanjeevakumar M. Hatture. "Fraud Detection in Healthcare System using Symbolic Data Analysis." International Journal of Innovative Technology and Exploring Engineering 10, no. 9 (July 30, 2021): 1–7. http://dx.doi.org/10.35940/ijitee.h9269.0710921.
Full textChung Woong. "Analysis on Workload of Insurance Fraud Investigation Team in the Police." Journal of Korean Public Police and Security Studies 12, no. 3 (November 2015): 143–65. http://dx.doi.org/10.25023/kapsa.12.3.201511.143.
Full textSalami, Suleiman, and Abass Wahab Olabamiji. "THE EFFECT OF FRAUD ON PROFITABILITY OF LISTED DEPOSIT MONEY BANKS IN NIGERIA." Malaysian Management Journal 25 (July 9, 2021): 169–90. http://dx.doi.org/10.32890/mmj2021.25.7.
Full textSooksripaisarnkit, Poomintr. "Marine insurance – collateral lies: when lies are not fraud." Maritime Business Review 2, no. 1 (March 15, 2017): 52–56. http://dx.doi.org/10.1108/mabr-09-2016-0020.
Full textDissertations / Theses on the topic "Investigation of insurance fraud"
Pražanová, Markéta. "Problematika pojistného podvodu v ČR." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75473.
Full textKonopíková, Marie. "Pojistné podvody." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-205812.
Full textGažová, Iva. "Pojistné podvody." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-232511.
Full textGill, Karen Ann. "Insurance fraud : causes, characteristics and prevention." Thesis, University of Leicester, 2014. http://hdl.handle.net/2381/29106.
Full textAboutajdine, Reda. "Deterrence and learning effects in insurance fraud audits." Thesis, Institut polytechnique de Paris, 2019. http://www.theses.fr/2019IPPAX016.
Full textInsurance fraud is a serious threat to insurance markets and is tackled through the design of credible and targeted auditing policies. This thesis studies the deterrence and learning mechanisms of insurance fraud audits, especially when service providers (car repairers, opticians, etc.) act as intermediaries between the insurer and the policyholders. The first chapter is an empirical assessment of the deterrence effects of auditing. It was conducted in collaboration with IBM France and PRO BTP, in the context of the deployment of the Solon counter-fraud solution. This assessment shows that incurred audits decrease an optician’s subsequent fraud. More specifically, the more credible the audit threat, the stronger this deterrence effect, emphasizing the importance of commitment in counter-fraud efforts. The second and third chapters examine a dynamic auditing problem where information plays a central role. The auditor interacts repeatedly with non-strategic service providers and can learn about their propensity to defraud from the auditing outcomes. The second chapter relies on a two-period model to show the existence of this learning effect, whose consequence is that it is optimal to audit more at the beginning of the relationship. The third chapter extends this model to an arbitrary or infinite number of periods, and shows that the further away the time horizon, the larger the optimal auditing efforts. Intuition stems from the fact that more auditing in the present, though costly, has a positive informational impact on all future periods. Finally, the fourth chapter combines the deterrence and learning mechanisms in the same dynamic reputation model, with strategic service providers. It reveals a reputation-based deterrence effect, where learning turns deterrence into an intertemporal threat. In other words, a service provider will be deterred more strongly in the present because of the risk of seeing his future reputation deteriorate if he gets caught defrauding
Richards, Katie. "Fraud unravels all? : a critical examination of the fraud rules in marine insurance and documentary credit transactions." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/110284/.
Full textPonce, Michael. "Healthcare fraud and non-fraud healthcare crimes: A comparison." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3233.
Full textShawyer, Andrea. "Investigative interviewing : investigation, counter fraud and deception." Thesis, University of Portsmouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496605.
Full textMohamed, Mudzamir. "Countering fraud in the insurance industry : a case study of Malaysia." Thesis, University of Portsmouth, 2013. https://researchportal.port.ac.uk/portal/en/theses/countering-fraud-in-the-insurance-industry(3959e2cd-403b-4a18-86f7-99e89948ee19).html.
Full textRoberts, Terisa. "The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts." Thesis, North-West University, 2011. http://hdl.handle.net/10394/10347.
Full textPhD, Operational Research, North-West University, Vaal Triangle Campus, 2011
Books on the topic "Investigation of insurance fraud"
American Bar Association. Tort Trial and Insurance Practice Section, ed. The insurance fraud deskbook. Chicago, Illinois: American Bar Association, Tort Trial and Insurance Practice Section, 2014.
Find full textStauf, Bruce W. Investigation of fraudulent casualty insurance claims. Atlanta, Ga. (5620 Glenridge Dr., Atlanta 30342): Crawford, 1993.
Find full textArgraves, Neil. Private eyes handbook of insurance investigations. East Greenwich, R.I. (1050 Main St., East Greenwich 02818): Casualty Consultants, 1992.
Find full textNew York (State). Dept. of Audit and Control. Division of Management Audit. Non-profit health insurance companies, fraud prevention and detection activities. [Albany, N.Y: The Division, 1994.
Find full textHymes, Laura, and Joseph T. Wells. Insurance fraud casebook: Paying a premium for crime. Hoboken, New Jersey: Wiley, 2013.
Find full textStauf, Bruce W. Investigation of fraudulent workers compensation claims. Atlanta, Ga. (5620 Glenridge Dr., Atlanta 30342): Crawford, 1993.
Find full text1964-, Finger Scott, ed. SIU 101: Special investigation units : guidelines, formats, procedures, forms, and philosophy for investigators and adjustors. Naperville, Ill: PSI Publications, 1994.
Find full textFinance, United States Congress Senate Committee on. Anatomy of a fraud bust: From investigation to conviction : hearing before the Committee on Finance, United States Senate, One Hundred Twelfth Congress, second session, April 24, 2012. Washington: U.S. Government Printing Office, 2012.
Find full textDornstein, Ken. Accidentally, on purpose: The making of a personal injury underworld in America. New York: St. Martin's Press, 1996.
Find full textBook chapters on the topic "Investigation of insurance fraud"
Gottschalk, Petter. "Investigation Reports." In Fraud Investigation, 80–95. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-6.
Full textGottschalk, Petter. "Introduction." In Fraud Investigation, 1–4. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-1.
Full textGottschalk, Petter. "Misconduct Investigations in the United States." In Fraud Investigation, 178–98. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-10.
Full textGottschalk, Petter. "Conclusion." In Fraud Investigation, 199–201. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-11.
Full textGottschalk, Petter. "White-Collar Crime Research." In Fraud Investigation, 5–17. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-2.
Full textGottschalk, Petter. "Theory of Convenience." In Fraud Investigation, 18–47. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-3.
Full textGottschalk, Petter. "Convenience Research." In Fraud Investigation, 48–59. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-4.
Full textGottschalk, Petter. "Crime Signal Detection." In Fraud Investigation, 60–79. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-5.
Full textGottschalk, Petter. "Crime Investigations in Norway." In Fraud Investigation, 96–106. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-7.
Full textGottschalk, Petter. "Misconduct Investigations in Scandinavia." In Fraud Investigation, 123–65. 1 Edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351139069-8.
Full textConference papers on the topic "Investigation of insurance fraud"
Diaz-Granados, Manuel, Javier Diaz-Montes, and Manish Parashar. "Investigating insurance fraud using social media." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363893.
Full textFelcan, Miroslav. "Historical Cross-Section of Arson." In Safe and Secure Society. The College of European and Regional Studies, 2020. http://dx.doi.org/10.36682/ssc_2020/1.
Full textSaldamli, Gokay, Vamshi Reddy, Krishna S. Bojja, Manjunatha K. Gururaja, Yashaswi Doddaveerappa, and Loai Tawalbeh. "Health Care Insurance Fraud Detection Using Blockchain." In 2020 Seventh International Conference on Software Defined Systems (SDS). IEEE, 2020. http://dx.doi.org/10.1109/sds49854.2020.9143900.
Full textNur Prasasti, Iffa Maula, Arian Dhini, and Enrico Laoh. "Automobile Insurance Fraud Detection using Supervised Classifiers." In 2020 International Workshop on Big Data and Information Security (IWBIS). IEEE, 2020. http://dx.doi.org/10.1109/iwbis50925.2020.9255426.
Full textLiang, Chen, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, and Yuan Qi. "Uncovering Insurance Fraud Conspiracy with Network Learning." In SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3331184.3331372.
Full textKenyon, David, and J. H. P. Eloff. "Big data science for predicting insurance claims fraud." In 2017 Information Security for South Africa (ISSA). IEEE, 2017. http://dx.doi.org/10.1109/issa.2017.8251773.
Full textPeng, Jinfeng, Qingzhong Li, Hui Li, Lei Liu, Zhongmin Yan, and Shidong Zhang. "Fraud Detection of Medical Insurance Employing Outlier Analysis." In 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2018. http://dx.doi.org/10.1109/cscwd.2018.8465273.
Full textRoy, Riya, and K. Thomas George. "Detecting insurance claims fraud using machine learning techniques." In 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT). IEEE, 2017. http://dx.doi.org/10.1109/iccpct.2017.8074258.
Full textSubudhi, Sharmila, and Suvasini Panigrahi. "Effect of Class Imbalanceness in Detecting Automobile Insurance Fraud." In 2018 2nd International Conference on Data Science and Business Analytics (ICDSBA). IEEE, 2018. http://dx.doi.org/10.1109/icdsba.2018.00104.
Full textAnbarasi, M. S., and S. Dhivya. "Fraud detection using outlier predictor in health insurance data." In 2017 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2017. http://dx.doi.org/10.1109/icices.2017.8070750.
Full textReports on the topic "Investigation of insurance fraud"
Ravikumar, B., Yuzhe Zhang, and David L. Fuller. Unemployment Insurance Fraud and Optimal Monitoring. Federal Reserve Bank of St. Louis, 2012. http://dx.doi.org/10.20955/wp.2012.024.
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