IT Governance Modes Choice: An Institutional Theory Perspective
Bibliographic record
Abstract
This study explains IT Governance modes’ choice in organizations using institutional theory. A conceptual framework is developed, and several propositions are presented. By adopting a non-rational perspective, a case study is conducted in the Canadian public sector. The results show that the three different IT Governance modes - centralized, decentralized, and federal - meet the requirements of process and property variables and can thus be considered legitimized institutions. Also, institutional pressures are found to play an important role in determining the chosen IT Governance mode. Coercive pressures exerted by the organization's legal environment and by standards imposed by structures on which the organization is dependent have an impact on the IT Governance mode choice. Mimetic pressures caused by peers, professional associations, or competitors also played an important role in IT Governance mode choice. Finally, normative pressures caused by inter-organizational networks and similar educational backgrounds also influenced the IT Governance choice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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; both teacher heads agree on what is shown here.
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".