The role of social media marketing and brand image on smartphone purchase intention
Bibliographic record
Abstract
The purpose of this study was to analyze the relationship between Social Media Marketing and Brand Image, Social Media Marketing relationship and Purchase Intention, Brand Image Relationship and Purchase Intention and finally, the relationship between Social Media Marketing and Purchase Intention through Brand Image. The approach in the research used is a quantitative approach using PLS-SEM SmartPLS software as a data processing tool. In this study, the data collection technique was carried out using a questionnaire or online questionnaire which was distributed to 234 respondents of Millennial Smartphone Consumers in Banten Indonesia. Sampling system was accomplished with a snowball sampling method. Based on the results of hypothesis testing, it was found that there was a positive and significant relationship between Brand Image (BRI) and Purchase Intention. There was also a positive and significant relationship between Social Media Marketing and Brand Image. However, there was an insignificant relationship between Social Media Marketing and Brand Image while there was a significant relationship between Social Media Marketing and Purchase Intention through Brand Image as Mediator.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".