Exploring nexus among sensory marketing and repurchase intention: Application of S-O-R Model
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 primary objective of the present research is to examine the impact of touch and gustatory stimuli on airline image and repurchase intention. Furthermore, the present research examines the moderating role of price fairness and mediation impact of airline image. The researchers gather data from the customers of PIA and Airblue travelling abroad from Islamabad International Airport, Karachi International airport and Lahore International airport by employing multi-stage sampling technique. Total of 576 questionnaires was distributed among the respondents, and the response rate was 68.9%. For the analysis of data received, the researcher employed PLS-SEM. The finding of the study confirmed the significant impact of touch and gustatory stimuli on airline image and repurchase intention. Findings of the study revealed the mediating role of airline image among touch, gustatory and repurchase intention was significant as well. At the end, perceived price fairness also moderated the relationship of airline image and repurchase intention. The present study fills the gap of limited studies conducted in the past regarding sensory stimuli in the context of the airline industry, the role of airline image as a mediator under SOR model and moderating impact of perceived price. Findings of the present study are helpful for policymakers and practitioners of the airline industry in Pakistan to develop the strategy by which they can retain their customers on international routes.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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