Bibliographic record
Abstract
Purpose This study aims to analyse Rolls-Royce’s (RR) recent corruption case, its 2017 global anti-bribery and corruption (ABC) manual, and its 2017 annual report to assess whether it has put the best corruption prevention strategies into place. Design/methodology/approach This is a legal case study based on RR’s 2017 deferred prosecution agreement (DPA) with the UK serious fraud office. It uses the new ISO 37001 standard as a theoretical framework. Findings RR’s DPA suspends an indictment covering 12 counts of conspiracy to corrupt, false accounting and failure to prevent bribery. RR’s ABC manual exhibits significant shortcomings as compared to ISO 37001’s requirements. RR’s ABC manual does not provide any reference to the setting, reviewing and achievement of measurable anti-bribery objectives; does not state that anti-bribery training is provided at planned intervals to employees and external business associates that pose more than a low risk of bribery; does not explain the authority and independence of its head of ethics and compliance; does not state any maximum for gifts and hospitality given or received; does not provide clear assurances that reports made through its main internal channels will be treated confidentially and that complaints about senior management will be investigated by an outside firm; and does not subject its advisers to a formal due diligence process. RR’s annual report notes that it operates in an industry prone to corruption. Finally, internal control failure and compliance fatigue mean that no anti-bribery management system can be completely effective. Research limitations/implications This paper extends previous research by analysing the best corruption prevention strategies that organizations can implement. It does not endeavour to certify whether RR is ISO 37001 compliant, and it analyses only publicly available documents. Practical implications This study’s prevention strategies will help deter corruption and improve internal controls within organizations. Originality/value No previous study has used the new ISO 37001 standard as a framework for such corruption case analysis.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".