PCAOB Inspections: Public Accounting Firms on “Trial”
Bibliographic record
Abstract
ABSTRACT The objective of our article is to obtain a better understanding of how auditors anticipate the potential for PCAOB inspection, experience the inspection, cope with the consequences of the inspection, and understand the PCAOB's influence within the context of professionalism. We use a qualitative approach that uses both surveys (55) and interviews (20) of auditors (of varying rank and firm) across a five‐year period (2012–2017). Respondents suggest that PCAOB inspectors are powerful, representing the “prosecution,” “judge,” and “jury” of the auditing profession. We therefore use a structural metaphor of the PCAOB inspection as a judicial “trial.” By controlling the criteria used to evaluate performance, inspectors have the power to repeatedly “subpoena,” “interrogate,” and return a “verdict” on the firm (auditor); those judged as “guilty” require supervised “probation.” This process is perceived as having improved audit quality but at a cost. Passing an inspection is so important that auditors (firms) have resorted to impression management strategies and “functionally stupid” work practices (e.g., excessive documentation, a decrease in critical thinking as a result of a “box ticking” approach to auditing). Furthermore, some respondents believe that being a good auditor has come at the expense of being a good accountant; the emphasis on audit process and concurrent de‐emphasis on technical accounting could ultimately lead to audits themselves falling short. In addition, it is evident that inspectors and auditors differ in their perceptions of risk, likely manifesting because inspectors are standards‐focused while auditors (firms) are methodology‐focused. Finally, the inspection process has created excessive stress and tension, beyond budget and fee pressures, which some auditors perceive as affecting the pool of talented auditors that firms may be able to attract and retain in the future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".