A Study on the Influence of E-Commerce Live Streaming on Consumer Repurchase Intentions
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 year 2019 witnessed an exponential growth of the e-commerce live streaming industry. Notably, competitions among live streamers have become increasingly fierce as more newcomers are marching in. To survive and thrive in the cut-throat market competitions, it is key for them to increase consumers’ repeat purchase rate and win customer loyalty. This study uses empirical research methods to probe into the influence of e-commerce live streaming on consumer repurchase intentions. According to this study, perceived entertainment and perceived similarity have a positive impact on consumer repurchase intentions, and this relationship is partially mediated by consumer satisfaction. In addition, perceived product quality, perceived interactivity, and perceived professionalism have a positive and indirect effect on consumer repurchase intentions, and this relationship is fully mediated by consumer satisfaction.
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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 | 0.074 |
| 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 | 0.000 |
| 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