Configurations of Information Technology Governance Practices and Business Unit Performance
Why this work is in the frame
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Bibliographic record
Abstract
The main objective of this article is to investigate the existence of configurations of information technology governance within organizations and to zoom in on their role in driving business value. This study proposes a research model that relies on the configurational theory in an attempt to reveal different clusters of IT governance practices and link them with the performance of business units from a financial and non-financial perspective. To test the model, 57 matched surveys were collected from medium to large international organizations. Three configurations of IT governance practices have emerged with distinct and significant impact on the business unit non-financial performance. However, no significant impact on the business unit financial performance was directly found. The results show that more mature IT governance practices within organizations can result in higher levels of performance at the business unit level in terms of business processes, decision making, innovation, and legal and ethical compliance.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.009 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it