Exploring the Effect of Coupon Proneness and Redemption Efforts on Mobile Coupon Redemption Intentions
Bibliographic record
Abstract
<p>This paper examined the impact of coupon proneness and redemption efforts on the intention to redeem or use mobile coupons from the smartphones in a sample of business students at Florida National University. The descriptive analysis, which was based on the Theory of Reasoned Action, Theory of Plan Behavior, Acquisition-Transaction Utility Theory, Unified Theory of Acceptance and Use of Technology, and The Technology Acceptance Model Theory, used the coupon proneness, redemption efforts and the intention to redeem or use mobile coupons scales adapted to mobile coupons setting. Structural equation modeling revealed two subcomponents of the coupon proneness (coupon propensity and enjoyment) and high and significant values of coupon propensity and enjoyment on the intention to redeem or use mobile coupons for the groups of students. However, the impact of redemption efforts on the intention to redeem or use mobile coupons was negative as expected, but weak and not significant.</p>
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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 | 0.012 | 0.012 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".