A Matter of Appearances: How Does Auditing Expertise Benefit Audit Committees When Selecting Auditors?†‡

Matthew Baugh, Nicholas J. Hallman, Steven J. Kachelmeier

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Literature to date reveals relatively little about the role of expertise in auditor selection beyond basic preferences for Big 4 and industry specialist auditors. We hypothesize that audit committees whose members have no Big 4 auditing experience are likely to struggle when interviewing prospective Big 4 partners, leading such committees to draw on superficial, heuristic cues in lieu of conducting more substantive evaluations. To test this prediction, we obtain independent ratings of the facial attractiveness of audit partners identified from Form AP filings recently mandated by the US PCAOB. Our primary finding is that audit committees with no Big 4–experienced members are more likely to favor partners whose photographs raters view to be highly attractive. We characterize attractiveness as a superficial attribute for auditor selection because we detect no relation between attractiveness and accruals- or restatement-based measures of financial reporting quality for audit committees with one or more Big 4–experienced members. We do find an inverse association between attractiveness and financial reporting quality for committees without this experience, likely reflecting the statistical implication of a selection bias. We conclude that auditing expertise mitigates the influence of superficial considerations in auditor selection, enabling audit committees to fulfill their stewardship role more effectively.

Original languageEnglish (US)
Pages (from-to)234-270
Number of pages37
JournalContemporary Accounting Research
Volume39
Issue number1
DOIs
StatePublished - Mar 1 2022

Keywords

  • attractiveness
  • audit committees
  • auditor selection
  • dual-processing theory
  • elaboration likelihood model
  • expertise

ASJC Scopus subject areas

  • Accounting
  • Finance
  • Economics and Econometrics

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