Information Technology Governance in the Tunisian Banking Industry: An Exploratory Study
Bibliographic record
Abstract
Information Technology (IT) has become the foundation for supporting and sustaining businesses. IT strategic importance has prompted many organizations to extend Governance to IT and place it high on their agendas. Banks are among those organizations that heavily use IT to enhance their service delivery capabilities. Besides, globalization, competition, and compliance requirements pushed banks to consider IT Governance as part of their overall corporate governance strategy. Past studies have shown that IT Governance in the financial industry is more mature than in other sectors. However, there is little information about IT Governance in economically developing nations. This article conducted a Delphi study to evaluate the Perceived Efficiency and Ease of Implementation of IT Governance practices in the Tunisian banking industry. The results show that compared with Process and Relational Mechanisms, Structural Practices are perceived to be more effective and easier to implement. This research helps to understand better the current state of IT Governance Implementation in less developed countries. Received: 30 November 2021 / Accepted: 19 March 2022 / Published: 5 May 2022
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".