Triggering changes in corporate governance: before and after external whistleblowing
Bibliographic record
Abstract
Purpose The purpose of this paper is to investigate whether a change of corporate governance occurs after financial crimes in Canada revealed through external whistleblowing. Design/methodology/approach Based on the methodology of Smaili and Arroyo (2019), the authors implement a qualitative research framework to examine 11 alleged Canadian corporate financial statement fraud cases publicly exposed during the 1995–2012 period. Findings The analysis suggests that firms had a weak traditional corporate governance mechanism before the external whistleblowing occurred. In almost every case, the chief executive officer (CEO) was also the chair of the board of directors. Although the reports by Dey and Saucier recommend that independent directors make up at least 75% of Canadian boards, we note that the percentage of independent directors was under 70% in six cases. Moreover, only two firms had a whistleblowing policy in place, and seven firms had a major shareholder. Regarding the consequences for corporate governance after whistleblowing, the analysis shows that the companies that survived the whistleblowing had enhanced their internal corporate governance by the third year after the whistleblowing. In fact, at all the surviving companies, the CEO was no longer the chair, and the percentage of independent directors had increased to 80%. However, for those survival companies that did not have a whistleblowing policy before the event, the situation did not change quickly, and they only implemented a policy after the enforcement of the new regulation in the year 2003. Originality/value This paper adds new insights to the research on financial crime by investigating the relation between corporate governance and whistleblowing.
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 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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".