The relationship between online sale and customer value co-creation: The mediating role of e-satisfaction and e-trust
Bibliographic record
Abstract
The aim of this research is to identify the relationship between online sale and customer value co-creation. In addition, to identify the mediating role of E-Satisfaction and E-Trust in the relationship between the online sale and customer value co-creation. This study selected a sample of 364 customers who shopped from the Modanisa website in Jordan, and a structural equation modeling (SEM) approach was applied in this study to suit the nature of the study and to achieve the desired goals. This approach is based on showing the variables' relationship with each other. In this study, the relationship between online sale and customer value co-creation was influenced by E-trust and E-satisfaction. As per the results have indicated the foregoing, the analysis exhibited a favorable relation between them. E-trust impacts online sale and customer value relationship CO-creation, E-satisfaction affects the connection between the customer and online sales value. In addition, this study proves that online transactions contribute to the CO-creation of customer value for Modanisa. The customer value of CO-creation is, however, influenced by online purchases by E-trust and E-satisfaction in the Modanisa site. The findings of the study show that consumers with the higher online sale are far more committed to rising customer value by enhancing E-trust and E-satisfaction.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".