Understanding Consumers’ Impulsive Buying Behavior in Social Commerce Platforms
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
Social commerce has emerged as a new online commerce platform which enhances users’ interactions and information contributions. Hence, social aspects are important elements in these environments. Nevertheless, the potential influence of social facets on social commerce users’ behaviors is not yet fully understood. In this study, we are interested in examining the influence of social factors in driving social commerce users’ impulse buying behaviors. Drawing from Latent State-Trait theory, we suggest that environmental cues, users’ personality traits, and interactions between these two elements can influence users’ urge to buy impulsively. To capture the social aspects of social commerce platforms, this study considers environmental cues from two different perspectives; the stimuli from other members, and from the website itself. Potential contributions to research and practice are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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