Understanding Earliness of Internationalization and Its Impact on Postentry Geographic Diversity of International Young Ventures
Bibliographic record
Abstract
Early and rapid internationalization has emerged as an established phenomenon of research, yet several fundamental issues remain to be studied. In this research, the authors aim to analyze the link between earliness of internationalization—a temporal dimension of foreign market entry—and the geographic diversity of international expansion, as well as the contingent nature of the relationship. They test their hypotheses with empirical data collected in a survey among international young ventures in China. The results show that while earliness of internationalization does not directly lead to the geographic diversity of a venture's international expansion, its impact becomes salient as the venture gains international legitimacy and strategic flexibility. Furthermore, the moderating effects of international legitimacy and strategic flexibility vary according to the type of the venture's first foreign market (regional vs. global). This research advances the knowledge not only of the important role of early foreign market entry but also of the strategic factors for paths created by accelerated internationalization. It potentially contributes to the emergent research on foreign market entry timing/speed of internationalization and performance implications of international young ventures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".