Does the Presence of an Internal Control Audit Affect Firm Operational Efficiency?*
Bibliographic record
Abstract
ABSTRACT This study examines whether auditors' evaluation and reporting of firms' internal control over financial reporting (ICFR) affects firm operational efficiency. Prior research indicates that the strength of internal controls is positively associated with economic benefits. However, notwithstanding the underlying strength of controls, whether the mere presence of an ICFR audit provides similar economic benefits is unclear. We predict and find that small firms with ICFR audits have significantly higher overall operational efficiency than small firms with only management ICFR reports, even after controlling for underlying internal control strength. We find this effect manifests through improvements in inventory turnover and innovation, and through increased relative product market share. Separately, we find ICFR audits are associated with lower efficiency in SG&A expenses. Cross‐sectional analyses indicate that the mechanism by which ICFR audits affect overall operational efficiency is through auditor detection of internal control problems and through knowledge spillover from auditing other highly efficient firms in the audit office's metropolitan statistical area. These results provide additional evidence on the ongoing cost and benefit debate of ICFR audits for small firms.
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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 | 0.009 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".