The Impact of Knowledge Management on the Marketing Performance of Small and Medium Enterprises in the State of Kuwait
Bibliographic record
Abstract
The study aimed to measure the Impact of Knowledge Management on the Marketing Performance of Small and Medium Enterprises in the State of Kuwait. The population of the study comprised of the owners of small and medium enterprises in the State of Kuwait. An appropriate sample of 150 respondents was used and 124 valid questionnaires were retrieved for analysis. The study reached an effect of knowledge management has been found on the marketing performance in small and medium projects in the State of Kuwait. This reflects the importance of attention to diversifying the sources of obtaining knowledge from the environment surrounding the project in a manner that can be used to its advantage in order to improve the level of its marketing performance. The study also highlighted that the opinions of the study sample on the impact of knowledge management on the marketing performance in small and medium enterprises in the State of Kuwait do not differ according to their practical experiences and scientific qualifications.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".