Moderator-moderator: Digital coupon sales promotion, online reviews, website design, and the online shopping intention of consumers in Jordan
Bibliographic record
Abstract
Although there have been unprecedented advances in technology worldwide, it is challenging for businesses and marketers to develop novel strategies of attracting consumers because the latter’s online shopping intentions have not changed according to the technological advances. Given these considerations, the present paper investigated how online shopping intention was influenced by website design and online reviews, how the relationship between website design and online shopping intention was moderated by online reviews, and how the relationship between online reviews and online shopping intention was moderated by digital coupon sales promotion. To that end, the paper drew on the theoretical framework of the Unified Theory of Acceptance and Use of Technology. A sample of consumers from Jordan was used for data collection, with Smart Partial Least Squares being employed for the analysis of the 225 responses received. Based on the findings, online shopping intention was favorably influenced by website design and by online reviews, while the relationship between website design and online shopping intention was moderated by online reviews. Likewise, the relationship between online reviews and online shopping intention was moderated by digital coupon sales promotion. Digital marketing agencies can use such findings to develop a marketing strategy targeting young adult consumers in Jordan.
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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 | 0.005 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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".