The effect of social media marketing on customer buying intention on the context of entrepre-neurial firms: Moderating role of customer involvement
Bibliographic record
Abstract
This study aims to provide comprehensive insights into the social media marketing characteristics affecting customer buying intention. The model was theoretically based on and explored using a quantitative approach. A survey strategy was adopted, and a five-point Likert questionnaire was distributed to Jordanian citizens. A total of 237 responses were received. The hypothesis testing followed structural equation modeling using SPSS software. The findings suggest that all social media marketing subcontracts exhibit a significant positive effect on buying intention, whereby accessibility is the highest. Customer involvement also moderates the relationship between social media marketing and customer buying intention. The proposed model provides new insights into social media marketing drivers affecting buying intentions and engagement with an entrepreneurial brand or product. This study reaffirms that social media marketing can significantly influence the success of Jordanian entrepreneurial firms and understanding how to use this tool effectively can significantly change how businesses operate.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".