A conceptual framework and case studies on audit planning and evaluation given the potential for fraud

[1]  R. P. Srivastava,et al.  A Formal Model of Auditor Independence Risk , 2002 .

[2]  Rajendra P. Srivastava,et al.  Decision Making Under Ambiguity: A Belief-function Perspective , 1997 .

[3]  Glenn Shafer,et al.  Languages and Designs for Probability Judgment , 1985, Cogn. Sci..

[4]  Philippe Smets,et al.  The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  M. Beasley An Empirical Analysis of the Relation between Board of Director Composition and Financial Statement Fraud , 1998 .

[6]  Vicky B. Hoffman,et al.  Accountability, the dilution effect, and conservatism in auditors' fraud judgments , 1997 .

[7]  R. P. Srivastava,et al.  Belief functions in accounting behavioral research , 2000 .

[8]  R. P. Srivastava,et al.  Belief functions in business decisions , 2002 .

[9]  Rajendra P. Srivastava,et al.  An Expert System Approach to Audit Planning and Evaluation in the Belief-Function Framework , 1996, Intell. Syst. Account. Finance Manag..

[10]  Theodore J. Mock,et al.  Are Audit Program Plans Risk‐Adjusted? , 1999 .

[11]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[12]  Robert L. Braun,et al.  The effect of time pressure on auditor attention to qualitative aspects of misstatements indicative of potential fraudulent financial reporting , 2000 .

[13]  Prakash P. Shenoy,et al.  Propagating belief functions in AND‐trees , 1995, Int. J. Intell. Syst..

[14]  Theodore J. Mock,et al.  Audit Program Planning Using A Belief Function Framework , 2001 .

[15]  Hai Lu,et al.  Structural analysis of audit evidence using belief functions , 2002, Fuzzy Sets Syst..

[16]  Mark F. Zimbelman The Effects of Sas No. 82 on Auditors' Attention to Fraud Risk Factors and Audit Planning Decisions , 1997 .

[17]  Philippe Smets,et al.  Constructing the Pignistic Probability Function in a Context of Uncertainty , 1989, UAI.

[18]  J. Sweeney,et al.  Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis , 1997 .

[19]  John B. Sullivan Discussant's response to "AUDITOR'S ASSISTANT: A knowledge engineering tool for audit decisions"; , 1988 .

[20]  R. P. Srivastava,et al.  The belief‐function approach to aggregating audit evidence , 1995, Int. J. Intell. Syst..

[21]  Philippe Smets,et al.  The Transferable Belief Model for Quantified Belief Representation , 1998 .

[22]  Lotfi A. Zadeh,et al.  A Theory of Approximate Reasoning , 1979 .

[23]  I. Solomon,et al.  Research opportunities in auditing : the second decade , 1988 .

[24]  Joseph V. Carcello,et al.  A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting , 2000 .

[25]  Rajendra P. Srivastava,et al.  Auditors’ Evaluations of Uncertain Audit Evidence: Belief Functions versus Probabilities , 2002 .

[26]  Peter R. Gillett A comparative study of audit evidence and audit planning models using uncertain reasoning , 1996 .

[27]  Karen V. Pincus,et al.  The efficacy of a red flags questionnaire for assessing the possibility of fraud , 1989 .