The effects of web quality, perceived benefits, security and data privacy on behavioral intention and e-WOM of online travel agencies
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 seeks to empirically examine the effect of Perceived web quality (PWQ), Perceived Benefits (PB), Security and Privacy (SP), Behavioral Intention (BI) and electronic Word-of-mouth (e-WOM) among online travel agency users in Indonesia. In this study, the behavioral intention variable is the mediating variable, and e-WOM is the dependent variable. The study was conducted on 150 online shopping users in Indonesia using the PLS analysis tool. The test results show that the variables Perceived web quality (PWQ), Perceived Benefits (PB), Security and Privacy (SP) have a significant influence on Behavioral intention (BI) and on electronic Word-of-mouth (e-WOM). The results of the mediation test showed that Behavioral intention (BI) was able to strengthen the influence of the independent variable on electronic word-of-mouth (e-WOM). This study practically underscores the importance of website quality and security and privacy aspects as factors that influence user intentions of online travel agencies in Indonesia. The push for online service providers and sellers to improve services and shopping security in the digital age is a practical implication of this finding.
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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 | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| 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