Consulting Role of Internal Auditors: Exploratory Evidence from Malaysia
Bibliographic record
Abstract
This paper discusses the added value that business can gain from the internal auditors via their consulting role. It is an explanatory study that provides an overview of the consulting activities within the business context. In the current complexity and constantly changing business issues, leveraging on the wealth of collective information about the business obtained by internal auditors in order to add value and improve organizational competitiveness would be a good strategy. In the stewardship perspective, internal audit would support the board and management team through consulting role and are expected to provide advice on the business improvement or future investment opportunities if the company is aggressive for new ventures etc. Fifteen (15) in-depth interviews with the Heads of Internal Audit departments from large Malaysian organizations were carried out. This is to investigate the nature, and extent of consulting activity in the companies analyzed. The results show that internal auditors provided consultation upon the request of management, board of directors or audit committee, on ad-hoc basis to help improve business operations and to achieve organizational objectives. This paper contributes to the literature by providing a deeper insight into nature and extent of consulting activity which internal auditors perform. It investigates an unexplored area of the role of internal auditors as consultants and opens several interesting avenues for future research.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".