How Streamers Enhance Consumer Engagement and Brand Equity in Live Commerce
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
Live steamers play key roles in enhancing brand equity in live commerce. Understanding the mechanism of how streamers impact brand equity in live commerce is of great significance for firms to launch live streaming, influencer, and engagement marketing campaigns. Building on social support, consumer engagement and brand equity theories, this study investigates the impact of perceived streamer support on consumer engagement, which in turn affects brand equity in live commerce settings. Based upon analysis of the data from 264 questionnaires with SmartPLS3.0 software, the results demonstrate that 1) perceived emotional, informational and financial support positively impact brand engagement, streamer engagement and live studio engagement separately; 2) brand engagement and streamer engagement positively impact brand equity respectively; and 3) streamer engagement positively impacts brand engagement and live studio engagement respectively. The findings provide conducive guidance for firms to develop live streaming, influencer, and engagement marketing campaigns.
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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 | 0.002 | 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 | 0.001 | 0.002 |
| Open science | 0.000 | 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