Downstream horizontal integration and multiunit dealership
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 In this paper, a game theoretical model featuring a manufacturer and two dealers has been proposed to investigate the belief that horizontal integration in an established network and granting of regional multiunit dealership in a growing network improve the manufacturer's profit. Some of the main results are as follows: (1) the manufacturer and dealers are mutually better off when integration and multiunit dealership lead to an increase in consumer demand through higher prices and better investments in services and national advertising, (2) downstream integration and multiunit dealership harm the manufacturer's profit when the integrated dealer aims to free‐ride the manufacturer's brand or local service has no impact on consumer demand, (3) under certain conditions, both the manufacturer and dealers prefer downstream competition to integration regardless of whether it increases or reduces retail prices. Finally, mechanisms to implement horizontally integrated strategies in an established dealer network made of multiple single‐unit dealers such as the use of resale price maintenance (RPM), exclusive territory agreement, and dealer cuts are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.020 | 0.001 |
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