Implementation of a Business Intelligence System in the Brazilian Nuclear Industry: An Action Research
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
The literature on information systems emphasizes the positive impact of information from business intelligence systems (BIS) on decision-making, especially in highly regulated environments. Assessing BIS effectiveness is vital to understanding its value and significance in improving operational performance and management. However, deploying BIS and understanding how BIS dimensions are interrelated and how they affect the decision-making process in organizations in the nuclear field still need to be explored. In order to address this research gap, this article investigates the process of implementing BIS in a Brazilian company from the nuclear industry using an action research methodology. Results suggest that the use of BIS in decision-making routines allowed company managers to expand their perception of previously neglected information, significantly helping in decision-making and prioritizing actions and/or solutions.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| 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