Social Media and Its Impact on Small Projects: An Empirical Study in the State of Kuwait
Bibliographic record
Abstract
The current study aimed at identifying the impact of social media on the small business in the state of Kuwait. The study population consisted of all workers in small business, and they were (720) workers. A simple random sample consisting of (300) workers was selected and (208) were retrieved. The study was distributed according to demographic variables (gender, educational qualification, experience). The study concluded that there is a statistically significant impact of social media on promoting the products of small business in the State of Kuwait through a simple linear regression test. This result indicates that social media influences the positive and noticeable method of promoting small business products. The current study has reached a number of recommendations, the most important of which are: The importance of small and medium companies adopting social media in their activities, especially in marketing and promotion activities, and the and the need to form working groups specialized in social media in these projects to improve the effectiveness of promoting their products, and finally, inviting researchers to study social media and their impact on other marketing activities such as pricing, selling and marketing confidence, customer loyalty and satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".