Maneuvering multimarket competition: The effects of multimarket contact and strategic alliances on performance of single-market firms
Why this work is in the frame
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Bibliographic record
Abstract
Research on multimarket competition has focused on how multimarket contact shapes competitive behavior of firms that face each other in multiple markets. To date, there has been little attention to how multimarket contact affects single-market firms nor how single-market firms cope with multimarket competition. In this study, we examine the effects of multimarket competition and strategic alliances on single-market firms’ market share. Our analysis shows that the degree of multimarket contact firms had outside of a single-market firm’s market negatively affected the single-market firm’s market share. Yet, the number of strategic alliances a single-market firm had and having alliances with multimarket firms helped the single-market firm to cope with competitive pressure derived from multimarket contact and enhance its market share.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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