Winery website loyalty: the role of sales promotion and service attributes
Bibliographic record
Abstract
Purpose This paper aims to examine the relationship between feelings toward buying wine on mobile phones and m-commerce website loyalty by examining the mediating role of sales promotion and the moderating role of service attributes of the m-commerce websites in influencing the mediation. Design/methodology/approach A total of 3,318 completed surveys were collected. Drawing on a large non-probability criterion-based purposive sample across six countries (France, Germany, Greece, South Africa, USA and Canada), mediation analysis was performed to examine the hypothesized relationships. Findings Results show that sales promotion mediates the relationship between feelings toward buying wine on mobile phones and m-commerce website loyalty. Moderated mediation reveals that the indirect pathways (sales promotion) through which feelings toward buying wine over mobile exert its effect on m-commerce website loyalty are dependent on the value of service (wine delivery) attributes of the website. The results demonstrate that sales promotion and service are of paramount importance to wineries and wine marketers. Research limitations/implications Wine producers and retailers should consider the use of sales promotion to enhance sales and loyalty to m-commerce websites. Practical implications Wine producers and retailers should consider use sales promotion (such as SMS or push notifications) to enhance sales and influence consumer feelings and hence their loyalty. Originality/value Wine m-commerce studies are limited, especially with an international perspective comparing six different countries: three from the old world (France, Germany and Greece) and three from the new world (North America with USA and Canada; and South Africa). Altogether, these six countries represent around 40 per cent of the world’s wine consumption.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".