Service quality and student/customer satisfaction in the private tertiary education sector in Singapore
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
Purpose This paper focuses on students’ perceptions of the quality of non-academic services received in higher education. While the important role played by expectations and perceptions in students’ evaluations of such services has been discussed in much of the service quality literature, there is insufficient work in the private tertiary educational sector (PTES). Thus, the purpose of this paper is to examine the relationships between service quality, student satisfaction, and behavioural intentions in the PTES, using Singapore as a case study. Design/methodology/approach This study adopted quantitative research to address the research questions. Primary data were collected from 324 valid responses from a survey conducted in two private tertiary educational institutes (PTEIs) in Singapore. Findings The results suggested that perceived service quality is positively correlated to satisfaction; perceived service quality and satisfaction are positively correlated to favourable behavioural intentions; and the relationships among perceived service quality and loyalty and paying more for a service are mediated by satisfaction. Originality/value This study is significant as the results provide better insights for Singaporean administrators in PTEIs, which is an under-researched area. Generally, the results will have far-reaching implications for all stakeholders in the delivery and consumption of education services in PTEIs, within and beyond Singapore.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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