Early internationalization and performance of small high‐tech “born‐globals”
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
Purpose The purpose of this paper is to investigate the early internationalization and the performance of small firms in technology‐intensive industries. Design/methodology/approach Using a sample of 278 small US firms in technology‐intensive industries, this paper employs quantitative methodologies to test hypotheses. Findings The findings indicate that such organizational variables as firm size and international experience have a non‐linear, inverted U‐shaped relationship with these firms’ early internationalization. Some strategic variables, such as R&D intensity, have significant impacts, whereas others, such as advertising intensity and strategic alliances, have none. However, the interactions between these strategic variables have a more significant influence upon these firms’ early internationalization than do the individual strategic variables in isolation. Moreover, early internationalization has significant and positive impacts on the performance of these firms. Practical implications The paper’s findings have important managerial implications. The paper identifies the driving forces for the early globalization of small firms and provides useful guidelines for managers to manage these factors in their efforts to maximize firm performance. Originality/value The paper differentiates organizational factors from strategic factors against the background of small “born globals” in technology industries and investigates the interactions among these internal factors and external factors, i.e. the environments of technology industries. Findings of non‐linear relationships among these factors shed light on the strategy determinants of a unique group of small to medium‐sized enterprises and their performance.
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 | 0.001 |
| 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 | 0.001 |
| 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