Understanding alliance evolution and termination: Adjustment costs and the economics of resource value
Why this work is in the frame
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Bibliographic record
Abstract
Alliances have been studied extensively in the past and various arguments have been suggested to explain their evolution and eventual termination. We argue that one important explanation of alliance termination has remained overlooked, one where the mechanism revolves around resource value and is independent of any mismanagement, opportunism, lack of trust, interpretive misunderstanding, or perceptions of inequity. In this explanation, we recognize explicitly that resources undergo transformation through an alliance, and this transformation reveals new previously imperfectly predicted costs to remain in the alliance as well as new opportunities outside the alliance. We apply the concepts of direct and indirect adjustment costs and inter-temporal economies of scope to explain these phenomena and demonstrate that, depending on the particular structure of incentive asymmetry between the two firms after alliance formation, the new circumstances may motivate a revised cost/profit sharing arrangement, a change in ownership of alliance resources, or a complete dissolution of the alliance. Some determinants of adjustment costs are explored in detail, covering resource characteristics, resource combination characteristics, and environment characteristics. Based on the economics of resource value, our argument has implications not just for alliance evolution and termination but also provides a distinct lens to explain the evolution of firm boundaries and the manner of transition of alliances into acquisitions.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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