Foreign direct investment motivations and knowledge acquisition from MNEs in overseas subsidiaries
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 Despite studies exploring factors affecting knowledge acquisition from multinational enterprises in subsidiaries, what accounts for a successful acquisition is unresolved. We argue that such disparity may stem from inattention to investment motivations of multinational enterprises (MNEs) in foreign markets and to the fact that learning patterns of subsidiaries can be influenced by foreign firms' market‐seeking or efficiency‐seeking behaviors. We find that absorptive capacity in learning organizations and daily interactions with knowledge possessors are essential to learning from parent firms. In addition, active support from parent firms is particularly crucial for subsidiaries seeking to improve operational efficiency of MNEs. We also suggest that potential absorptive capacity plays a catalyst role in initiating knowledge acquisition, particularly in cases where MNEs have market‐seeking motivations. Copyright © 2014 ASAC. Published by 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| 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