Information economics approach to the performance evaluation of error-prone internal auditors

References

• Ahituv, N. (1981). A comparison of information structures for a rigid decision rule case. Decision Science, 12, 399–416. doi:https://doi.org/10.1111/j.1540-5915.1981.tb00093.x
   Google Scholar
• Ahituv, N., & Greenstein, G. (2005). The impact of accessibility on the value of information and the productivity paradox. European Journal of Operational Research, 161, 505–524.
   Web of Science ®Google Scholar
• Ahituv, N., & Ronen, B. (1988). Orthogonal information structures – A model to evaluate the information provided by a second opinion. Decision Science, 19, 255–268.
   Web of Science ®Google Scholar
• Barnett, V., Haworth, J., & Smith, T. M. F. (2001). A two-phase sampling scheme with application to auditing or sed quis custodiet ipsos custodies? Journal of the Royal Statistical Society: Series A (Statistics in Society), 164, 407–422.
   Web of Science ®Google Scholar
• Bonett, D. G., & Woodward, J. A. (1994). Sequential defect removal sampling. Management Science, 40, 898–902.
   Web of Science ®Google Scholar
• Boros, E., Goldberg, N., Kantor, P. B., & Word, J. (2011). Optimal sequential inspection policies. Annals of Operations Research, 187, 89–119.
   Web of Science ®Google Scholar
• Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), November 1978, 429–444.
   Web of Science ®Google Scholar
• Chun, Y. H. (1999). On the information economics approach to the generalized game show problem. The American Statistician, 53, 43–51.
   Web of Science ®Google Scholar
• Chun, Y. H. (2004). Generalized best choice problem based on the information economics approach. Journal of Operational Research Society, 55, 988–999.
   Web of Science ®Google Scholar
• Chun, Y. H. (2008). Bayesian analysis of the sequential inspection plan via the Gibbs sampler. Operations Research, 56, 235–246.
   Web of Science ®Google Scholar
• Chun, Y. H. (2009). Improving product quality by multiple inspections: Prior and posterior planning of serial inspection procedures. IIE Transactions, 41, 831–842.
   Web of Science ®Google Scholar
• Chun, Y. H. (2016). Designing repetitive screening procedures with imperfect inspections: An empirical Bayes approach. European Journal of Operational Research, 253, 639–647.
   Web of Science ®Google Scholar
• Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Handbook on data envelopment analysis (2nd ed.). New York: Springer.
   Google Scholar
• Ding, J., & Gong, L. (2008). The effect of testing equipment shift on optimal decisions in a repetitive testing process. European Journal of Operational Research, 186, 330–350.
   Web of Science ®Google Scholar
• Duffuaa, S. O., & Khan, M. (2002). An optimal repeat inspection plan with several classifications. Journal of Operational Research Society, 53, 1016–1026.
   Web of Science ®Google Scholar
• Duffuaa, S. O., & Khan, M. (2008). A general repeat inspection plan for dependent multicharacteristic critical components. European Journal of Operational Research, 191, 374–385.
   Web of Science ®Google Scholar
• Elovici, Y., & Braha, D. (2003). A decision-theoretic approach to data mining. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 33, 42–51.
   Web of Science ®Google Scholar
• Gong, L. (2012). The effect of testing errors on a repetitive testing process. European Journal of Operational Research, 220, 115–124.
   Web of Science ®Google Scholar
• Greenberg, B. S., & Stokes, S. L. (1995). Repetitive testing in the presence of inspection errors. Technometrics, 37, 102–111.
   Web of Science ®Google Scholar
• Hochberg, Y. (1977). On the use of double sampling schemes in analyzing categorical data with misclassification errors. Journal of American Statistical Association, 72, 914–921.
   Web of Science ®Google Scholar
• Johnson, R. A., & Wichern, D. W. (1998). Applied multivariate statistical analysis (4th ed.). New York: Prentice Hall.
   Google Scholar
• Maleyeff, J., Kaminsky, F. C., & Farris, J. P. (2003). Minimum cost 100% inspection systems with inspection error. Quality Engineering, 15, 557–563.
   Google Scholar
• Margaliot, N. (1999). Selecting a quality control attribute sample: An information-economics method. Annals of Operations Research, 91, 83–104.
   Web of Science ®Google Scholar
• Marschak, J. (1971). Economics of information systems. Journal of American Statistical Association, 66, 192–219.
   Web of Science ®Google Scholar
• McGuire, C. B. (1986). Comparisons of information structures (2nd ed.). In C. B. McGuire & R. Radner (Eds.), Decision and organization (pp. 101–130). Minneapolis, MN: University of Minnesota Press.
   Google Scholar
• Moors, J. J. A., van der Genugten, B. B., & Strijbosch, L. W. G. (2000). Repeated audit controls. Statistica Neerlandica, 54, 3–13.
   Web of Science ®Google Scholar
• Quinino, R. C., & Ho, L. L. (2004). Repetitive tests as an economic alternative procedure to control attributes with diagnosis errors. European Journal of Operational Research, 155, 209–225.
   Web of Science ®Google Scholar
• Raats, V. M., & Moors, J. J. A. (2003). Double-checking auditors: A Bayesian approach. Journal of the Royal Statistical Society: Series D (the Statistician), 52, 351–365.
   Google Scholar
• Rallis, N. E., & Lansdowne, Z. F. (2001). Reliability estimation for a software system with sequential independent reviews. IEEE Transactions on Software Engineering, 27, 1057–1061.
   Web of Science ®Google Scholar
• Ronen, B. (1994). An information-economics approach to quality control attribute sampling. European Journal of Operational Research, 73, 430–442.
   Web of Science ®Google Scholar
• Ronen, B., & Spector, Y. (1995). Evaluating sampling strategy under two criteria. European Journal of Operational Research, 80, 59–67.
   Web of Science ®Google Scholar
• Sim, S. H. (1988). The reliability of a test procedure for identifying defective components. European Journal of Operational Research, 34, 345–350.
   Web of Science ®Google Scholar
• Simnett, R., Carson, E., & Vanstraelen, A. (2016). International archival auditing and assurance research: Trends, methodological issues, and opportunities. AUDITING: A Journal of Practice & Theory, 35, 1–32.
   Web of Science ®Google Scholar
• Tenenbein, A. (1970). A double sampling scheme for estimating from binomial data with misclassifications. Journal of American Statistical Association, 65, 1350–1361.
   Web of Science ®Google Scholar
• Tenenbein, A. (1972). A double sampling scheme for estimating from misclassified multinomial data with applications to sampling inspection. Technometrics, 14, 187–202.
   Web of Science ®Google Scholar
• Zhang, Z. G., Luh, H. P., & Wang, C.-H. (2011). Modeling security-check queues. Management Science, 57, 1979–1995.
   Web of Science ®Google Scholar