International new ventures: Beyond definitional debates to advancing the cornerstone of international entrepreneurship
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
International entrepreneurship—the field dedicated to the discovery, enactment, evaluation, and exploitation of opportunities across national borders to create future goods and services—is as inextricably linked to firm activity as entrepreneurship, strategy, or international business. However, for much of the past 30 years the field has been hampered by confusion and inconsistency over definitions and existential questions such as, “What is a born global?”; “what is an international new venture?”; and “how does one distinguish emerging firm types?” While many of these questions have been previously answered in isolation, confusion remains, as the field lacks a coherent unified perspective of firm activity. In this introduction to our thematic issue on international entrepreneurship, we address this need, present a unified model of international new ventures drawn from the latest definitions and distinctions, and call for future research that fully integrates form into the conversations of opportunity, technology, liability, and the unique network and value-chain alignments that exist across borders. We also discuss how we can better integrate and add value to nascent trends more broadly from neuroscience, deglobalization, intercultural arbitrage, and other areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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