The effects of customer satisfaction, perceived service quality, perceived value, and brand image on customer loyalt
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 purpose of this study was to analyze the effects of customer satisfaction, service quality, perceived value and brand image on consumer loyalty through a quantitative method. The research was conducted in schools in Indonesia. The sample of respondents in this study were 308 of owners of Small and Medium Enterprises (SMEs). The sampling method used was simple random sampling. Data collection techniques were accomplished using online questionnaires through social media. The measurement scale in this study was a Likert scale with a range of 1-7 and data analysis was performed using structural equation modeling (SEM) with data processing software SmartPLS software. The independent variables in this study were customer satisfaction, perceived service quality, perceived value, and brand image, while the dependent variable was customer loyalty. Based on the results of the study, it was found that satisfaction has a positive and significant effect on consumer loyalty. However, perceived service quality, perceived value and brand image had no significant effects on consumer loyalty.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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