Competition, Cooperation, and Pricing: How Mobile Operators Respond to the Challenge of Over-The-Top
Bibliographic record
Abstract
Considering the threats from OTT (Over-The-Top) services, this paper examines whether the mobile operator should charge OTT services access fees and how to. By using a dynamic-gaming process, we find that: 1) under non-cooperative strategy, the mobile operator would charge OTT a mobile Internet access fee, which is positively correlated to OTT platform’s future commercial value and the price of direct communication service, and negatively correlated to the indirect communication service price. 2) under cooperative strategy, the OTT service price that the joint venture charges end users is negatively correlated to OTT platform’s future commercial value. 3) despite choosing cooperative or non-cooperative strategy, the pricing of mobile operator’s direct communication service has a negative correlation with OTT platform’s future value and a positive correlation with the platform’s quality; while the pricing of the indirect communication service is positively correlated to platform’s future value and negatively correlated with the platform quality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".