The Effect of Internet Trust and Social Influence towards Willingness to Purchase Online in Labuan, Malaysia
Bibliographic record
Abstract
This study is an empirical research one-commerce that examines the willingness of consumers to purchase online. The study focuses on two influential components that mediate the relationship between online shoppers and online vendors, namely, trust in the Internet structure and social influence. By using a convenience sample size of 115 from government servants and employees of private sectors residing in the Federal Territory Labuan who are computer literate, have access to Internet, and who possess credit card(s), this study aims to examine the relationship between the two variables of trust in the Internet structure and susceptibility to social influence on their willingness as consumers to purchase online. The findings show that trust in the Internet structure and susceptibility to social influence are significantly related to willingness to purchase online. However, hierarchical linear regression analysis had provided insignificant influence between trust in the Internet structure and willingness to purchase online with social influence as a moderator.
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How this classification was reachedexpand
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".