Price as a variable in online consumer trade‐offs
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
Purpose To determine the impact of price on consumer decision making in online environments. Design/methodology/approach Uses a conjoint experiment to investigate the trade‐offs customers make when choosing and to establish their relative weights in online and offline situations. Findings Finds that customers expect prices to be lower in an online environment than in a traditional sales channel. Research limitations/implications Despite acknowledged limitations of experimental design and student samples, the findings have both theoretical and practical implications. Practical implications Marketing planners can use the intelligence gained from conjoint studies such as this to improve the design and implementation of online retail experiences. Originality/value Compares online and offline shopping environments with specific regard to the importance of price in each in the consumer decision‐making processes, a hitherto overlooked issue in marketing research.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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