The effect of sensory marketing factors on customer loyalty during Covid 19: Exploring the mediating role of customer satisfaction
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 loyalty of the customers is very important for the survival of the organizations. Therefore, the prime objective of the present study was to examine the effect of sensory factors namely visual factors, auditory factors, and touch factors on customer satisfaction and loyalty. For this purpose, data were collected from the respondents of restaurants in the UAE in the form of survey questionnaires. A convenience sampling technique was adopted for this purpose. The usable response rate from the data collected was 75.78%. For the analysis of the data gathered PLS-SEM was used for which smart PLS was used as the tool to examine the data. The findings of the study revealed that visual factors play a very important role in developing customer satisfaction and loyalty. The same was the findings regarding the positive role of the other two sensory factors. Moreover, the mediating role of customer satisfaction was also confirmed in the present study. The gaps filled by the study are mentioned and discussed. These results can be used by academicians and policymakers as well.
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 | 0.004 | 0.001 |
| 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 | 0.001 |
| Open science | 0.002 | 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 it