The Internal Audit Function in Information Technology Governance: A Holistic Perspective
Bibliographic record
Abstract
ABSTRACT The internal audit function's (IAF) role has evolved from traditional (accounting and financial control) to more strategic (governance). The business environment has changed as well, and nowadays relies considerably on information technology (IT). Only a few studies have investigated IT governance from a holistic perspective. Further, no study has closely examined IAF involvement in IT governance as a whole. This study uses a holistic approach to describe IAF involvement in IT governance and to explore the influence of IAF characteristics on this involvement. Survey results indicate that IAF involvement in IT governance structures, processes, and relational capabilities has not fully expanded. Also, IAF resources and IT audit experience, IT personnel and IT training/certification, and interaction between the IAF and board of directors committees influence IAF involvement in overall IT governance. These IAF characteristics influence each dimension of IAF involvement in IT governance differently. The overall results should be useful to internal auditors, senior executives, and board members seeking to enhance, assess, or make changes to their organization's IT governance.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 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".