Behavioral Implications of Big Data's Impact on Audit Judgment and Decision Making and Future Research Directions

SYNOPSIS: This paper addresses information processing weaknesses and limitations that can impede the effective use and analysis of Big Data in an audit environment. Drawing on the literature from p...

[1]  Allen D. Blay.  Independence Threats, Litigation Risk, and the Auditor's Decision Process , 2005 .

[2]  S. Streufert,et al.  Effects of information relevance on decision making in complex environments , 1973, Memory & cognition.

[3]  Roger S. Debreceny,et al.  A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits , 2014, Int. J. Account. Inf. Syst..

[4]  Mark F. Zimbelman,et al.  A cognitive footprint in archival data: Generalizing the dilution effect from laboratory to field settings , 2003 .

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

[6]  Joseph F. Brazel,et al.  An Examination of Auditor Planning Judgements in a Complex Accounting Information System Environment , 2007 .

[7]  Ned Kock,et al.  Information Overload: A Decision Making Perspective , 2001 .

[8]  Ck Cheng,et al.  The Age of Big Data , 2015 .

[9]  Carol E. Brown,et al.  Artificial neural networks applied to ratio analysis in the analytical review process , 1993 .

[10]  Sutapat Thiprungsri,et al.  Cluster analysis for anomaly detection in accounting , 2012 .

[11]  E. O'Donnell,et al.  Assessing Risk with Analytical Procedures: Do Systems-Thinking Tools Help Auditors Focus on Diagnostic Patterns? , 2011 .

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

[13]  Arnold M. Wright,et al.  The Effectiveness of Alternative Risk Assessment and Program Planning Tools in a Fraud Setting , 2004 .

[14]  Errol R. Iselin.  The effects of information load and information diversity on decision quality in a structured decision task , 1988 .

[15]  Barry L. Lewis,et al.  Determinants of Auditor Expertise , 1990 .

[16]  A. M. Harrell,et al.  THE EFFECT OF INFORMATION LOAD ON DECISION MAKERS' CUE UTILIZATION LEVELS AND DECISION QUALITY IN... , 1990 .

[17]  William R. Titera,et al.  Updating Audit Standard - Enabling Audit Data Analysis , 2013, J. Inf. Syst..

[18]  Barbara Elissa Savedoff,et al.  Art interpretation : a dissertation submitted to the Graduate School - New Brunswick, Rutgers, The State University of New Jersey in partial fulfillment of the requirements for the degree of Doctor of Pholosophy , 1989 .

[19]  Julie L Rabine,et al.  Start making sense: Practical approaches to outcomes assessment for libraries , 2000 .

[20]  Kevin C. Moffitt,et al.  Identification of fraudulent financial statements using linguistic credibility analysis , 2011, Decis. Support Syst..

[21]  Theodore J. Mock,et al.  Human Information Processing, Decision Style Theory and Accounting Information Systems: A Reply , 2016 .

[22]  R. Norton,et al.  Measurement of ambiguity tolerance. , 1975, Journal of personality assessment.

[23]  J. Jacoby.  Information Load and Decision Quality: Some Contested Issues , 1977 .

[24]  N. Malhotra.  Information Load and Consumer Decision Making , 1982 .

[25]  Alfonso Gumico Dagron.  Making Waves , 2001 .

[26]  Jean C. Bedard,et al.  The Role of Problem Representation Shifts in Auditor Decision Processes in Analytical Procedures , 1999 .

[27]  J. Jacoby.  Perspectives on Information Overload , 1984 .

[28]  Robert Libby,et al.  Modeling the determinants of audit expertise , 1994 .

[29]  P. Legrenzi,et al.  Mental models in reasoning and decision making , 1996 .

[30]  Alexander Kogan,et al.  A Predictive Ordered Logistic Regression Model as a Tool for Quality Review of Control Risk Assessments , 2014, J. Inf. Syst..

[31]  Miklos A. Vasarhelyi,et al.  AIS in an Age of Big Data , 2013, J. Inf. Syst..

[32]  R. Nisbett,et al.  The dilution effect: Nondiagnostic information weakens the implications of diagnostic information , 1981, Cognitive Psychology.

[33]  M. H. Hodge,et al.  The influence of similarity between relevant and irrelevant information upon a complex identification task , 1971 .

[34]  Pieter Schouten.  Big data in health care: solving provider revenue leakage with advanced analytics , 2013 .

[35]  Izak Benbasat,et al.  Behavioral Aspects of Information Processing for the Design of Management Information Systems , 1982, IEEE Transactions on Systems, Man, and Cybernetics.

[36]  Karl E. Hackenbrack.  Implications Of Seemingly Irrelevant Evidence In Audit Judgment , 1992 .

[37]  Donald R. Jones,et al.  Reliance on Decision Aids: An Examination of Auditors' Assessment of Management Fraud , 1997 .

[38]  R. Hogarth,et al.  Judging probable cause. , 1986 .

[39]  David Bawden,et al.  Information and digital literacies: a review of concepts , 2001, J. Documentation.

[40]  Arnold Well,et al.  The influence of irrelevant information on speeded classification tasks , 1971 .

[41]  Noel Harding,et al.  Improving the Interpretation of Complex Audit Evidence: The Beneficial Role of Order Effects , 2013 .

[42]  Athanasios V. Vasilakos,et al.  Big data: From beginning to future , 2016, Int. J. Inf. Manag..

[43]  Robert Libby,et al.  Availability And The Generation Of Hypotheses In Analytical Review , 1985 .

[44]  W. Morley Lemon,et al.  Developments in the Audit Methodologies of Large Accounting Firms , 2000 .

[45]  Paul Herbig,et al.  The Effect of Information Overload on the Innovation Choice Process , 1994 .

[46]  B Kleinmuntz,et al.  Why we still use our heads instead of formulas: toward an integrative approach. , 1990, Psychological bulletin.

[47]  Paul Sparrow,et al.  Strategy and cognition: understanding the role of management knowledge structures, organizational memory and information overload , 1999 .

[48]  William R. Kinney,et al.  The effect of ambiguity on loss contingency reporting judgments , 1997 .

[49]  C. O'Reilly.  Individuals and Information Overload in Organizations: Is More Necessarily Better? , 1980 .

[50]  Richard B. Dull,et al.  The Development of AudEx: An Audit Data Assessment System , 2016 .

[51]  Khrystyna Bochkay,et al.  Using MD&A to Improve Earnings Forecasts , 2013 .

[52]  Danielle R. Lombardi.  Using an expert system to debias auditor judgment: An experimental study , 2012 .

[53]  David Edge,et al.  Reinventing the Wheel , 1995 .

[54]  Stewart A. Leech,et al.  Audit Support Systems and Decision Aids: Current Practice and Opportunities for Future Research , 2007 .

[55]  Lawrence A. Gordon,et al.  CONCEPTUAL LEVELS AND THE DESIGN OF ACCOUNTING INFORMATION SYSTEMS , 1975 .

[56]  Joseph Conn.  Pairing up. Early adopters of big data seek advisers, partners. , 2013, Modern healthcare.

[57]  Venkateshviswanath,et al.  A Theoretical Extension of the Technology Acceptance Model , 2000 .

[58]  Philip M. J. Reckers,et al.  The Influence of Outcome Effects, Decision Aid Usage, and Intolerance of Ambiguity on Evaluations of Professional Audit Judgement , 1997 .

[59]  M. W. Nelson,et al.  A Model and Literature Review of Professional Skepticism in Auditing , 2009 .

[60]  E. Michael Bamber,et al.  Do Auditor Judgment Frameworks Help in Constraining Aggressive Reporting? Evidence under More Precise and Less Precise Accounting Standards , 2016 .

[61]  Ken Jones,et al.  Getting Personal , 1995 .

[62]  Jr. A. P. Mac Donald,et al.  Revised Scale for Ambiguity Tolerance: Reliability and Validity , 1970 .

[63]  Ira Solomon,et al.  It's all about audit quality: Perspectives on strategic-systems auditing , 2007 .

[64]  S. Pokharel,et al.  The Rise of Big Data: How It’s Changing the Way We Think , 2013 .

[65]  Roger Simnett,et al.  The effect of information selection, information processing and task complexity on predictive accuracy of auditors☆ , 1996 .

[66]  Sachchidanand Singh,et al.  Big Data analytics , 2012 .

[67]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[68]  Benjamin L. Luippold,et al.  The Impact of Initial Information Ambiguity on the Accuracy of Analytical Review Judgments , 2012 .

[69]  Miklos A. Vasarhelyi,et al.  Continuous monitoring of business process controls: A pilot implementation of a continuous auditing system at Siemens , 2006, Int. J. Account. Inf. Syst..

[70]  D. Coddington,et al.  The big deal about big data. , 2013, Healthcare financial management : journal of the Healthcare Financial Management Association.

[71]  P. Johnson-Laird,et al.  Focussing in reasoning and decision making , 1993, Cognition.

[72]  Miklos A. Vasarhelyi,et al.  Cluster Analysis for Anomaly Detection in Accounting Data: An Audit Approach 1 , 2011 .

[73]  Morris H. Stocks,et al.  The impact of an increase in accounting information level on the judgment quality of individuals and groups , 1995 .

[74]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[75]  Viktor Mayer-Schönberger,et al.  The Rise of Big Data: How It’s Changing the Way We Think about the World , 2014 .

[76]  Miklos A. Vasarhelyi,et al.  Putting Continuous Auditing Theory into Practice: Lessons from Two Pilot Implementations , 2008, J. Inf. Syst..

[77]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[78]  Arnold M. Wright,et al.  The Effect of Accountability and Time Budgets on Auditors' Testing Strategies* , 2000 .

[79]  S. Schneider.  Information overload: Causes and consequences * , 1987 .

[80]  Daniel D. Selby.  Can Financial Statement Auditors Identify Risk Patterns in IT Control Evidence , 2011 .

[81]  Roger Debreceny,et al.  The Development of Embedded Audit Modules to Support Continuous Monitoring in the Electronic Commerce Environment , 2003 .

[82]  Miklos A. Vasarhelyi,et al.  Analytical Procedures for Continuous Data Level Auditing: Continuity Equations 1 , 2010 .