Multichannel retailing and price competition
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
Abstract We investigate the profitability of multichannel retailing for competing offline retailers. Each firm can sell a product both offline and online in a position of a first mover or follower in the online market. We find that, depending on the online market size and price competition levels across channels and retailers, the adoption of multichannel retailing may or may not enhance an offline retailer's profits in the first‐mover position. If one retailer profitably expands online, the second can also improve its profit by introducing another online channel to the detriment of the pioneer. However, when offline retailers are given the possibility of selecting an equilibrium channel mix, multichannel retailing could be adopted strategically by the two retailers to maintain their market shares, resulting in a prisoner's dilemma situation. In such a context, it drives down retail prices, increases sales, and reduces the profits of the two competing retailers.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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