The impact of CEO characteristics on the international entrepreneurship of small island-based firms
Bibliographic record
Abstract
This paper examines the impact of CEO characteristics on the International Entrepreneurship (IE) of listed island-based firms (IBFs) during the period 2009-2018. The research considers 164 companies from a sample of eight small islands with securities exchanges including more than one firm headquartered on the island. The selected islands are: Barbados, Cyprus, Fiji, Iceland, Jamaica, Malta, Mauritius, and Trinidad & Tobago. Framed on the upper echelons theory and social network theory, the influence on IE of CEO’s tenure, academic background and achievement, family allegiance, and international exposure is studied, taking into account the small island particularities. Through a binary probit model, it is concluded that CEOs’ family allegiance, tenure, and academic background (if the CEO majored in Business Administration, Finance, Accounting, or Economics) are negatively related with IE, while CEOs’ academic achievement and international exposure are positively associated with IE. Some of these results are atypical in the existing literature; nevertheless, islandness can explain these results. The conclusions attained suggest new theoretical and empirical lines of IE research for IBFs.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".