The Influence of Nonaudit Service Revenues and Client Pressure on External Auditors' Decisions to Rely on Internal Audit*
Bibliographic record
Abstract
Abstract This paper investigates how external auditor provision of significant nonaudit services and client pressure to use the work of internal audit influence external auditors' use of internal auditors' work. More specifically, we study how external audit evidence gathering choices are influenced by nonaudit fees and client pressure. Our research is motivated by an observation that the magnitude of nonaudit services provided to audit clients introduces the risk that client management may leverage its position with the external auditor and potentially affect the audit process. We address this issue by extending prior research and focusing on the importance of various explanatory variables, including nonaudit service revenues, client pressure, internal audit quality, and coordination, to the external auditor's decision to rely on the work of internal audit. We use data primarily obtained through surveys completed by internal and external auditors. The survey responses represent 74 separate audit engagements. Our findings reveal that when significant nonaudit services are not provided to a client, internal audit quality and the level of internal‐external auditor coordination positively affect auditors' internal audit reliance decisions. However, when the auditor provides significant nonaudit services to the client, internal audit quality and the extent of internal ‐ external auditor coordination do not significantly affect auditors' reliance decisions. Furthermore, when significant nonaudit services are provided, client pressure significantly increases the extent of internal audit reliance. Thus, external auditors appear to be more affected by client pressure and less concerned about internal audit quality and coordination when making internal audit reliance decisions at clients for whom significant nonaudit services are also provided.
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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 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".