Competitive intelligence practices: A South African study
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
Competitive Intelligence (CI) as a business discipline and as a business practice is still in its infancy in South Africa. Only a few higher education courses in CI exist in South Africa and only a few studies on CI practices in South African firms have been done. The question that arises is: What is the level of development and deployment of CI in South Africa? From this study it is clear that most of the responding firms believe that CI can be used to create a competitive advantage and that CI is a legitimate and necessary activity for increasing their firms’ intelligence. It is, however, also clear that South African firms are not well equipped yet to conduct good intelligence practices, especially in the areas of process and structure, analysis and awareness. Recommendations are made in order to increase the firms’ CI awareness in order to improve South African firms’ competitiveness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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