The Impact of Private Universities’ Websites Services’ Quality on the Reputation in Jordan (An Applied Study)
Bibliographic record
Abstract
This study aimed to grasp the impact of services quality of the Jordanian private universities’ websites, on the reputation of these universities. The variables of website quality was relied on through the class of the website design in terms of comprehensiveness and attractiveness, the information quality in relation to its currentness and accuracy, and the services’ quality for its reliability and responsiveness. The reputation variables consisted of; admiration, respect, and satisfaction. The study population consists of students at; Amman Arab University, Al Israa University, Zaytoonah University, Jadraa University, Jarash University and Princess Sumaya University for Technology, which all are Jordanian private universities in Amman and Irbid. The number of females and males students were (28512) students A sample of (600) Sekeran students was selected, Some of the most important conclusions the study found are; Jordanian universities have a good reputation, students are highly reverence and admire their universities. Although the information’s quality provided by universities' websites was not to the aspirational level of the of the students, the design quality was at a good level, and the study also showed, that there is an impact on the reputation of the universities, due to their websites quality. The study presented recommendations, not limited to, but some of which are; the need to improve both qualities of services and information at the websites of Jordanian private universities.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".