Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms

Published Online:https://doi.org/10.1287/isre.2019.0841

References

  • Anechiarico F, Jacobs J (1994) Panopticism and financial controls. Crime Law Soc. Change 22(4):361–379.CrossrefGoogle Scholar
  • Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512.CrossrefGoogle Scholar
  • Bass F (1969) A new product growth for model consumer durables. Management Sci. 15(5):215–227.LinkGoogle Scholar
  • Bentham J (1969 [1790]) Outline of the plan for the construction of a panopticon penitentiary house. Mack M, ed. A Bentham Reader (Pegasus, New York).Google Scholar
  • Brandes U (2001) A faster algorithm for betweenness centrality. J. Math. Sociol. 25(2):163–177.CrossrefGoogle Scholar
  • Burt R (1987) Social contagion and innovation: Cohesion vs. structural equivalence. Amer. J. Sociol. 92(6):1287–1335.CrossrefGoogle Scholar
  • CBS News (2009) Medicare fraud: A $60 billion crime. 60 Minutes (October 23), http://www.cbsnews.com/news/medicare-fraud-a-60-billion-crime-23-10-2009/.Google Scholar
  • Centola D (2010) The spread of behavior in an online social network experiment. Science 329(5996):1194–1197.CrossrefGoogle Scholar
  • Churchill N, Cooper W, Govindarajan V (1982) Effects of audits on the behavior of medical professionals under the Bennett Amendment. Auditing 1(2):69–90.Google Scholar
  • Coleman J, Katz E, Menzel H (1957) The diffusion of an innovation among physicians. Sociometry 20(4):253–270.CrossrefGoogle Scholar
  • Committee on the Learning Health Care System in America (2013) Smith M, Saunders R, Stuckhardt L, McGinnis JM, eds. Best Care at Lower Cost: The Path to Continuously Learning Healthcare in America (National Academies Press, Washington, DC).Google Scholar
  • D’Arcy J, Hovav A, Galletta D (2009) User awareness of security countermeasures and its impact on information systems misuse: A deterrence approach. Inform. Systems Res. 20(1):79–98.LinkGoogle Scholar
  • Dionne G, Giuliano F, Picard P (2009) Optimal auditing with scoring: Theory and application to insurance fraud. Management Sci. 55(1):58–70.LinkGoogle Scholar
  • Eide E, Rubin PH, Shepherd J (2006) Economics of crime. Foundations Trends Microeconom. 2(3):205–279.CrossrefGoogle Scholar
  • Federal Bureau of Investigation (2007) Financial crimes report 2007. Accessed December 7, 2017, https://www.fbi.gov/stats-services/publications/fcs_report2007.Google Scholar
  • Guare J (1990) Six Degrees of Separation: A Play (Vintage Books, New York).Google Scholar
  • Guille A, Hacid H, Favre C, Zighed D (2013) Information diffusion in online social networks: A survey. SIGMOD Record 42(2):17–28.CrossrefGoogle Scholar
  • Hill S, Provost F, Volinsky C (2006) Network-based marketing: Identifying likely adopters via consumer networks. Statist. Sci. 21(2):256–276.CrossrefGoogle Scholar
  • Institute of Medicine (US) Roundtable on Evidence-Based Medicine (2010) Inefficiently delivered services. Yong PL, Saunders RS, Olsen L, eds. The Healthcare Imperative: Lowering Costs and Improving Outcomes: Workshop Series Summary (National Academies Press, Washington, DC), 109–110.Google Scholar
  • Kang U, Tsourakakis C, Appel A, Faloutsos C, Leskovec J (2008) HADI: Fast diameter estimation and mining in massive graphs with Hadoop. Report CMU-ML-08-117, School of Computer Science, Carnegie Mellon University, Pittsburgh.Google Scholar
  • Katona Z, Zubcsek P, Sarvary M (2011) Network effects and personal influences: The diffusion of an online social network. J. Marketing Res. 48(3):425–443.CrossrefGoogle Scholar
  • Kempe D, Kleinberg J, Tardos E (2003) Maximizing the spread of influence through a social network. Proc. 9th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 137–146.CrossrefGoogle Scholar
  • Kossinets G, Kleinberg J, Watts D (2008) The structure of information pathways in a social communication network. Proc. 14th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 435–443.CrossrefGoogle Scholar
  • Liu J, Bier E, Wilson A, Guerra-Gomez JA, Honda T, Sricharan K, Gilpin L, Davies D (2016) Graph analysis for detecting fraud, waste, and abuse in healthcare data. AI Magazine 37(2):33–46.CrossrefGoogle Scholar
  • Mahajan V, Muller E, Bass F (1991) New product diffusion models in marketing: A review and directions for research. Nakićenović N, Grübler A, eds. Diffusion of Technologies and Social Behavior (Springer, Berlin), 125–177.CrossrefGoogle Scholar
  • Myers S, Zhu C, Leskovec J (2012) Information diffusion and external influence in networks. Proc. 18th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 33–41.CrossrefGoogle Scholar
  • Ratna N, Dray A, Perez P, Grafton R, Newth D, Kompas T (2008) Diffusion and social networks: Revisiting medical innovation with agents. Qudrat-Ullah H, Spector J, Davidsen P, eds. Complex Decision Making (Springer, Berlin), 247–265.Google Scholar
  • Sales A, Estabrooks CA, Valente TW (2010) The impact of social networks on knowledge transfer in long-term care facilities: Protocol for a study. Implementation Sci. 5(1):49.CrossrefGoogle Scholar
  • Schenck K (2012) The deterrence effects of SEC enforcement actions. Unpublished doctoral dissertation, Pennsylvania State University, University Park. Available at https://etda.libraries.psu.edu/catalog/15397.Google Scholar
  • Strang D, Tuma N (1993) Spatial and temporal heterogeneity in diffusion. Amer. J. Sociol. 99(3):614–639.CrossrefGoogle Scholar
  • Tennyson S, Salsas-Forn P (2002) Claims auditing in automobile insurance: Fraud detection and deterrence objectives. J. Risk Insurance 69(3):289–308.CrossrefGoogle Scholar
  • Thornton D (1998) “Sentinel effect” shows fraud control effort works. J. Health Law 32(4):493–502.Google Scholar
  • Valente T (1996) Network models of the diffusion of innovations. Comput. Math. Organ. Theory 2(2):163–164.CrossrefGoogle Scholar
  • Valente T (2005) Network models and methods for studying the diffusion of innovations. Carrington P, Scott J, Wasserman S, eds. Models and Methods in Social Network Analysis (Cambridge University Press, New York), 98–116.CrossrefGoogle Scholar
  • Vance A, Lowry P, Eggett D (2013) Using accountability to reduce access policy violations in information systems. J. Management Inform. Systems 29(4):263–298.CrossrefGoogle Scholar
  • Vance A, Lowry P, Eggett D (2015) A new approach to the problem of access policy violations: Increasing perceptions of accountability through the user interface. Management Inform. Systems Quart. 3(2):345–366.CrossrefGoogle Scholar
  • Van den Bulte C, Lilien G (2001) Medical innovation revisited: Social contagion vs. marketing effort. Amer. J. Sociol. 106(5):1409–1435.CrossrefGoogle Scholar
  • Van Vlasselaer V, Eliassi-Rad T, Akoglu L, Snoeck M, Baesens B (2017) GOTCHA! Network-based fraud detection for social security fraud. Management Sci. 63(9):3090–3110.LinkGoogle Scholar
  • Villanustre F, Furht B (2016) Social network analytics: Hidden and complex fraud schemes. Furht B, Villanustre F, eds. Big Data Technologies and Applications (Springer, Berlin), 341–346.CrossrefGoogle Scholar
  • Watts D (1999) Networks, dynamics, and the small‐world phenomenon. Amer. J. Sociol. 105(2):493–527.CrossrefGoogle Scholar
  • Wu F, Huberman B, Adamic L, Tyler J (2004) Information flow in social groups. Phys. A 337(1–2):327–335.CrossrefGoogle Scholar
  • Young P (2009) Innovation diffusion in heterogeneous populations: Contagion, social influence, and social learning. Amer. Econom. Rev. 99(5):1899–1924.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.