Addressing the Control Challenges of the Enterprise Architecture Process
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT This paper examines the enterprise architecture process from the perspective of information systems controls, which refer to attempts to influence the behavior of employees in order to achieve organizational goals. Although controls have been extensively studied in processes such as systems development, there is little research examining control within the enterprise architecture process, despite its rising importance in today's organizations. This paper examines how enterprise architecture controls are employed in practice and considers the challenges faced in their design and operation. Drawing on empirical data from two in-depth case studies, enterprise architecture controls are classified and analyzed using COBIT 5. Our findings identify a series of specific challenges with enterprise architecture controls. Based on these challenges, we outline recommendations to practitioners in overseeing the enterprise architecture process and develop propositions to help guide future research initiatives to enhance enterprise architecture performance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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