Audit Committee Member Investigation of Significant Accounting Decisions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SUMMARY: In the post-Enron environment, audit committee (AC) members are under increased scrutiny to demonstrate effectiveness in resolving significant accounting issues. However, prior research suggests that AC members are not involved in material auditor-client negotiations and that they are often not adequately informed of the issue resolution process. Therefore, AC members may not be effective in their oversight of the financial reporting process unless an accounting decision is clearly aggressive or adequate information about the decision is provided. In this study, I examine AC members’ investigation of accounting decisions when they are (or not) adequately informed of the negotiation process that led to the decision and when the decision results in an aggressive (versus conservative) financial reporting outcome. The hypotheses are developed from social psychology and research on corporate governance practice suggesting that AC members investigate accounting decisions to reduce discomfort in the financial reporting process by asking probing questions of the auditors and management. The results indicate that negotiation knowledge increases AC discomfort but has no effect on AC investigation, perhaps because potential questions were adequately addressed by the available information. I also find that AC members investigate more extensively as accounting decisions become increasingly aggressive and AC members with accounting experience are particularly thorough in their investigations when accounting decisions are aggressive. The results of this research have important implications to practice and future research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.184 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it