Service Quality, Satisfaction and Student Loyalty in Malaysian Private Education
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 changing of the global demographic trends clearly suggests a growing demand for a quality higher education. In fact, several studies have been carried out in the past few years to explore the factors that have effects on the customer satisfaction and its consequences in various industries. In the same manner, this study also explores the five factors of service quality (SERVQUAL) and their relationship with the level of student satisfaction and their loyalty as well as the intervening role of satisfaction in the relationships between SERVQUAL factors and loyalty among undergraduate students.The study used self-administered questionnaires to test the proposed model and data collected from 460 questionnaires were analysed. The questionnaires were distributed at various private universities and colleges in Malaysia based on convenience sampling. The results of this study are in accordance with prior studies in this field as SERVQUAL factors do influence the level of customers’ satisfaction in the service industry. This study shows that the level of students overall satisfaction is mostly affected by tangibility. This finding indicates that the physical facility on the campus plays a major role in satisfying the students. The results also show that tangibility has the highest influence (directly and indirectly) on the students’ intention to continue to a higher level of studies and/or spreading good word of mouth about the institution to their friends and the society. However, to generalize the results of this study, consideration should be made to the limitation of the number of the private institutions where the samples are collected. It is suggested that for further study, more samples should be taken from a larger number of institutions.
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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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