The Construction of Risk Management Credibility Within Corporate Boardrooms
Bibliographic record
Abstract
Despite various corporate collapses over the last decades, risk management is increasingly influential across organizations worldwide, as if the apparatus’ credibility was impermeable to scandals that, from critical angles, cast doubt on its efficacy. Relying on a cultural perspective of analysis highlighting the range of social processes that protect prevailing institutions’ legitimacy from aberrations, we examined the sense-making approaches employed by corporate boardroom actors to maintain their confidence in the credibility of the risk management apparatus despite being exposed to a continuous flow of corporate failures pointing to risk management efficacy limitations. Specifically, we conducted 35 interviews with corporate board stakeholders, mostly board members and corporate consultants. Our analysis indicates that actors involved in risk management processes tend to interpret aberration cases through perspectives that put the blame on some implementation deficiency, thereby ensuring that risk management's core assumptions are not questioned. These perspectives point to a defensive system of thought grounded in the director and consultancy communities, whose main referents are subject to intense work and re-conceptualization in the aftermath of aberrations, thereby providing community members with the means to make sense of the frictions of organizational life in ways that maintain the legitimacy of the risk management apparatus.
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 | 0.004 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".