Cybersecurity, Capital Allocations and Management Control Systems
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
The design and use of management control systems can play a key role in dealing with cybersecurity issues that have arisen in tandem with the emergence of the Internet. Efficient management control systems will reduce a firm's likelihood of suffering significant losses from cybersecurity breaches. Drawing on and extending the extant agency-based capital budgeting literature, this paper demonstrates the relevance of the study of management accounting controls to problems arising in the cybersecurity setting. The main finding is that firms can use an information security audit (which is an integral part of a management control system) along with adjustments to the compensation payments to the agent and the investment decision rules, to mitigate a Chief Information Security Officer's inherent empire building preferences. The paper also identifies additional research areas where management accountants with expertise in management control systems can contribute to the academic literature and practice surrounding cybersecurity issues.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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