The effects of social media marketing, store environment, sales promotion and perceived value on consumer purchase decisions in small market
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
The purpose of this research is to analyze the influence of social media marketing on small market purchase decisions and to analyze the influence of the store environment on small market purchase decisions. The study also analyzes the influence of sales promotion on small market purchase decisions as well as the effect of perceived value on small market purchase decisions. The study uses a quantitative method and data collection is performed by distributing questionnaires to 170 respondents who have bought goods in the small market. The research method in this study uses structural equation modeling (SEM) analysis using SmartPLS software. The results of this study reveal that all independent variables have some positive effects on consumer buying decisions. More specifically, the variables of small market environmental conditions, sales promotions, and profit values have significant influences on consumer buying decisions, while social media marketing variables has no significant effect on consumers' buying decisions.
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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 | 0.005 | 0.011 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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