Purchase intention of Muslim consumers on TikTok live stream: Assessing the role of trust, reliability, and TikTok marketing activitie
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
This study explores the impact of TikTok marketing activities in stimulating consumer purchasing intention with trust and reliability during live streaming sessions for Muslim apparel. While there is a growing interest in shopping through live streaming, little study has been done regarding Islamic marketing. To achieve the purpose of the study, a convenience sampling method was adopted to collect data from 225 participants for assessing the effects of TikTok marketing activities on consumer behaviour. The findings suggest that most of the TikTok marketing activities enhance trust and credibility, hence influencing positive intentions to buy among consumers while attending a live stream. The insights also apply to three broader fields of Islamic marketing, consumer behaviour, and sustainable marketing, while again supporting the United Nations SDGs specifically Goal 12: Responsible Consumption and Production. This paper therefore advocates for more sustainable consumption patterns and responsible marketing practices, as it gives confidence and trust in online shopping for ethical consumption of goods in digital commerce. Beyond this, the study highlights how social commerce can be instrumental for the realization of economic growth (Goal 8), innovation within marketing practices, and inclusive and sustainable economic participation via digital platforms.
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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 | 0.004 | 0.001 |
| 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 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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