Acquisitions as entrepreneurship: asymmetries, opportunities, and the internationalization of multinationals from emerging economies
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 We investigate the rapid internationalization of many multinationals from emerging economies through acquisition in advanced economies. We conceptualize these acquisitions as an act and form of entrepreneurship, aimed to overcome the ‘liability of emergingness’ incurred by these firms and to serve as a mechanism for competitive catch‐up through opportunity seeking and capability transformation. Our explanation emphasizes (1) the unique asymmetries (and not necessarily advantages) distinguishing emerging multinationals from advanced economy multinationals due to their historical and institutional differences, as well as (2) a search for advantage creation when firms possess mainly ordinary resources. The argument shifts the central focus from advantage to asymmetries as the starting point for internationalization and, additionally, highlights the role of learning agility rather than ability as a potential ‘asset of emergingness.’
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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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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