How consumer involvement influences consumption-elicited emotions and satisfaction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is scarce research on the relationship between the level of consumer involvement and consumption-elicited emotions. So, we address the following questions: What is the influence of consumer involvement on consumption-elicited emotions?; Are positive emotions prevailing in highly involved consumers?; and Are negative emotions more dominant in low-involved consumers?. For this purpose, three different levels of consumer involvement have been considered—low ( n = 228), medium ( n = 493), and high ( n = 601). A Manova test was developed to analyze the relationship between consumption emotions and the level of consumer involvement. The results suggest that consumers should surpass an involvement threshold to develop a negative emotional appraisal and provoke negative affect. Similarly, our findings indicate that medium-involved consumers experience higher unpleasant emotions.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it