Prioritizing Factors of Organizational Cultural Model in Electronic Enterprises
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
This study aims to investigate the priority order of organizational cultural factors affecting the competitiveness of electronic enterprises. The methodology adopted for this research comprises the fuzzy analytical hierarchy process (FAHP) method. Data collection was sent to 15 experts, including university scientists, government regulators, and managers of electronic enterprises. The results revealed that the first ranking belongs to the involvement factor, the second-ranked factor is a mission, and the third position is consistency and adaptability. The results showed that experts' top three indicators of influential competitiveness ratings included core values, customer focus, and vision. Meanwhile, the three lowest-rated factors include agreement, organizational learning, coordination, and integration. This research's practical and theoretical implications are discussed, providing insights into how the results can be applied or influence practices in organizational culture in electronic enterprises.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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