Changes in Corporate Governance Associated with the Revelation of Internal Control Material Weaknesses and Their Subsequent Remediation*
Bibliographic record
Abstract
The revelation of material negative events about a firm, including issues such as fraud, restatements, or internal control material weaknesses (ICMWs), may destabilize the firm’s corporate governance equilibrium as it works to remediate the event or effects thereof. Prior research investigates the association between the revelation of fraud and restatements and both board and management turnover. We extend that research, proposing and testing a conceptual model of the process that firms use to remediate negative events in general and ICMWs specifically, with a focus on the role of governance structure changes. Using a sample of 733 firms revealing an ICMW compared to 3,602 firms with unqualified internal control reports, results reveal a positive association between disclosure of ICMWs and subsequent turnover of members of boards of directors, audit committees, and top management. Focusing on the ICMW sample and comparing the 511 firms that remediate their ICMWs to the 222 firms that do not, results illustrate a positive association between remediation of ICMWs and improvements in the characteristics of boards of directors, audit committees, and top management. Data Availability: Data are publicly available from sources identified in the paper.
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.
How this classification was reachedexpand
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 | 0.005 | 0.009 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".