ACHIEVING SUPERIOR INTERNATIONALIZATION THROUGH STRATEGIC AMBIDEXTERITY
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
In this paper, I examine the optimal approach to internationalization. Drawing from the ambidexterity literature, I build on the concept of structural ambidexterity and suggest that the optimal approach occurs when firms pursue 'strategic ambidexterity,' which is characterized by simultaneously executing paradoxical strategies of pro-profit and pro-growth. I examine this approach through empirical study based on in-depth field research of two cases: Merrill Lynch, a multinational enterprise and Comdirect Bank, an international new venture. I find that a) firms that pursue strategic ambidexterity in their internationalization effort achieve above-average internationalization performance in the short term; and b) firms that pursue strategic ambidexterity in their internationalization effort also achieve above-average firm-level performance in the long term. I conclude that strategic ambidexterity is the optimal strategy by which to achieve superior performance.
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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 | 0.000 | 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) | 0.000 | 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