Behavioral implications of big data’s impact on audit judgment and decision making and future research directions

Helen Brown-Liburd, Hussein Issa, Danielle Lombardi

Research output: Contribution to journalArticlepeer-review

109 Scopus citations

Abstract

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 psychology and auditing, we present the behavioral implications Big Data has on audit judgment by addressing the issues of information overload, information relevance, pattern recognition, and ambiguity. We also discuss the challenges that auditors encounter when incorporating Big Data in audit analyses and the various analytical tools that are currently used by companies in the analysis of Big Data. The manuscript concludes by raising questions that future research might address related to utilizing Big Data in auditing.

Original languageEnglish (US)
Pages (from-to)451-468
Number of pages18
JournalAccounting Horizons
Volume29
Issue number2
DOIs
StatePublished - Jun 2015

All Science Journal Classification (ASJC) codes

  • Accounting

Keywords

  • Audit judgment
  • Big data
  • Data analytics
  • Information processing weaknesses

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