The effects of hedonic and utilitarian values on e-loyalty: Understanding the mediating role of e-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 purpose of this paper is to examine effects of hedonic and utilitarian aspects of consumer behaviour toward e-loyalty and how e-satisfaction plays a mediating role between them. A survey method was adopted to test the research model. The primary data for the survey was collected during January 2021, using the convenience sampling approach, from business school students. The structural equation modelling method was used to analyse the data with AMOS 22.0 software. The measurement model was estimated through a confirmatory factor analysis before testing the structural model framework and hypotheses (response rate 94.3%, n=264). The results showed that hedonic and utilitarian shopping values have great influence in shaping e-satisfaction. The study also highlights the importance of mediating the role of e-satisfaction between shopping values and e-loyalty. This research highlights why and how ‘satisfaction with website’ matters in the contribution of shopping values to behavioural outcomes by presenting its mediating role. The study offers implications and suggestions to e-retailers by specifying characteristics that should be given more consideration in order to increase online consumer e-satisfaction and e-loyalty. It also contributes to the present body of knowledge on shopping and buying behaviour in the online context, especially for those who have theoretical and managerial interests on the subject in emerging economies like Jordan. The novelty of the paper comes from the fact that it cumulatively captures the factors influencing online consumers’ loyalty in the Jordanian context, apart from validating the mediating role of e-satisfaction.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 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