Service Quality of Malaysian Public Transports: A Case Study in Malaysia
Bibliographic record
Abstract
This research is about the Service Quality dimension became the major determinant to influence the Service Quality of public transports in Lembah Bujang area, Kedah Darul Aman, Malaysia. This study has been done in Lembah Bujang area, Kedah. The objective of this research is to investigate the relationship between independent variables which is tangible, reliability and responsiveness dimension that influences the Service Quality of the public transports which is buses and taxis in Lembah Bujang area and which Service Quality dimension are mostly influences the Service Quality. The population of this research is about 300 populations in the Lembah Bujang housing area phase one area which is frequent public transports user. In this study, convenience sampling was used which is only 169 respondents were selected. The researcher use Descriptive Statistic, Pearson Correlation, Multiple Regressions and Cronbach’s Alpha in order to analyze the data gathered by using Statistical Package for Social Sciences (SPSS) version 15.0. The result indicates there are positive correlations between Service Quality and tangible, reliability and responsiveness of Service Quality dimensions. The most Service Quality dimensions influence the Service Quality is tangible dimension which is focuses on Cleanliness/Comfortable of physical facilities. For the future research it can determine the others important factors that influences the service quality of the public transports also needs to focus on others service quality dimension which is empathy and assurance in SERVQUAL model of Service Quality. Key words: Service Quality; Tangible; Reliability; Responsiveness; Public TransportsResume: Cette recherche porte sur la dimension de la qualite des services, ce qui est devenu le facteur determinant qui influe sur la qualite de service de transports publics dans la g region Lembah Bujan, Kedah Darul Aman, en Malaisie. Cette etude a ete realisee dans la region Lembah Bujang, Kedah.L'objectif de cette recherche est d'etudier la relation entre les variables independantes qui sont les dimension de la tangibilite, de la fiabilite et de la reactivite qui influencent la qualite de services de transports publics, c'est-a-dire les autobus et les taxis dans la region Lembah Bujang et la dimension de qualite de service qui influe le plus sur la qualite de service. Les sujets de cette recherche sont d'environ 300 personnes dans les quartiers d'habitation de Lembah Bujang, qui sont des utilisateurs frequents de transports en commun. Dans cette etude, l'echantillon de convenance a ete utilise et seulement 169 repondants ont ete selectionnes.Les chercheurs ont utilise la statistique descriptive, la correlation de Pearson, les regressions multiples et l'Alpha de Cronbach afin d'analyser les donnees recueillies a l'aide du paquet statistique pour les sciences sociales (SPSS) version 15.0. Le resultat indique qu'il y a une correlation positive entre la qualite de service et la tangibilite, la fiabilite et la reactivite des dimensions de la qualite de service. La dimension de qualite de service qui influence le plus la qualite de service est la dimension tangible qui met l'accent sur la proprete / le confort des installations physiques. Pour les futures recherches, on peut determiner d'autres facteurs importants qui influent sur la qualite de service des transports publics, pourtant on doit egalement se concentrer sur d'autres dimensions de qualite de service qui est l'empathie et l'assurance dans le modele SERVQUAL de la qualite de service.Mots-Cles: qualite de service; tangible; fiabilite; reactivite; transports publics
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".