Role of E-retailer’s Image in Online Consumer Behaviour – Empirical Findings from E-customers’ Perspective in Saudi Arabia
Bibliographic record
Abstract
Retailing business especially E-retailing is being considered one of the most dynamic and rapidly changing sectors of most of the emerging nations including Saudi Arabia. Nowadays, rapid changes in technological environment i.e. use of internet, availability of social media instruments etc. especially in e-retailing business have attracted the researchers to explore various issues of significance in online marketing. The objective of the present study is to demonstrate the significance and importance of e-retailers image on online shopping behavior of consumers. Structured and self-framed questionnaire consisting 15 questions (variables) with five (5) point Likert Scale has been considered as research instrument in the present study. To ensure the appropriateness of research instrument, Factor Analysis method has been used. Reliability of Questionnaire used in study was found very high (Cronbach Alpha value .956). After Factor Analysis procedure, two (2) factors consisting fifteen (15) variables i.e. ‘Reliability Quality’ with eight (8) variables and ‘Payment Option’ with seven (7) variables) has been extracted with 36.351 and 35.004 per cent variation respectively with overall variation of 71.355 per cent. All the variables extracted in factor analysis part have been found very much significant and important because their mean values were much higher than the midpoint. Among all the variables ‘Range of Product Selection’ has been found most dominant and ‘Loyalty Programs of the e-retailer’ has been found least important. Further discussion has been made in the study regarding analysis results. The results will be useful for the e-retailers especially in Saudi Arabia and middle-east and also outside the region. The e-retailers can plan their area of focus based on the findings of the study.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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 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".