The effect of the service quality on passengers’ satisfaction
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 objective of this research was to investigate the impacts of the perceived service quality on passengers' satisfaction towards the service quality of the Nakhon Phanom Municipality, Thailand -Thakhek, Lao People's Democratic Republic ferry. The sample group comprised Thai and Lao passengers who used the ferry's service. A questionnaire was used to collect data from 505 samples who were selected using the simple random sampling method. The collected data was analyzed using the confirmatory factor analysis (CFA), structural equation modelling (SEM), and partial least squares (PLS) regression with the ADANCO 2.1.1 software. The results showed that the perceived service quality consisted of tangible, reliability, responsiveness, assurance, and empathy, which had the same impact with the passengers' satisfaction towards the service quality. The most influential factors were the tangible and responsiveness. Therefore, entrepreneurs should prioritize the improvement and development of the ferry's tangible. Furthermore, the government sector or relevant agencies should promote the implementation of technology into the development in order to fulfill the passengers' demand and create an impression that would lead to satisfaction and repurchasing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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