Transnational digital entrepreneurship and enterprise effectiveness: A micro-foundational perspective
Bibliographic record
Abstract
Transnational digital entrepreneurship (TDE), the establishment of digital enterprises by combining home- and host-country value creation to serve domestic and foreign customers, is increasing. In order to understand the role of entrepreneurs in transnational digital enterprise effectiveness, we investigate how the competencies of transnational digital entrepreneurs influence social interactions among stakeholders that contribute to enterprise effectiveness. We apply the micro-foundations perspective of management and entrepreneurship and semi-structured interview data from transnational entrepreneurs from six countries—Finland, Sweden, Norway, New Zealand, Australia, and the USA—and their partners in Pakistan. We find that entrepreneurs’ digital knowledge, skills, and abilities—versatile cognitive capabilities, digital managerial capabilities, and multicultural capabilities—affect social interactions through four socio-structural mechanisms—structural support, trust-building, knowledge sharing, and resource configuration—that enhance enterprise effectiveness. We discuss the theoretical and practical implications for transnational entrepreneurship, policymakers, and migrant entrepreneurs.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".