When do firms change technology‐sourcing vehicles? The role of poor innovative performance and financial slack
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Bibliographic record
Abstract
This paper examines the adjustments firms make to the composition of their portfolios of technology‐sourcing vehicles (i.e., alliance, acquisition, or go‐it‐alone) in response to poor innovative performance. We advance a behavioral perspective on the make/buy/ally question, suggesting that differences in financial slack will generate different portfolio decisions. Specifically, we posit that firms with greater levels of financial slack are more likely to respond to poor innovative performance by opting for (1) greater vehicle diversification, and (2) new sourcing vehicles, while firms with less financial slack will respond by (1) downscoping their portfolio of sourcing vehicles, and (2) reverting to more familiar vehicles. We find support for our predictions using extensive data from the population of U.S. public pharmaceutical firms from 1992 to 2006 . Copyright © 2015 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.002 |
| 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