Chief executive officers' dispositional optimism, host country's rule of law, and foreign market equity mode choice of Ghanaian small and medium‐sized enterprises
Bibliographic record
Abstract
Abstract Despite a growing interest in the influence of managerial characteristics on firms' strategic decision‐making process, scholarly knowledge is limited with regard to how and when psychological attributes of executives affect firms' foreign entry mode decision. Building on behavioral decision‐making theory, we address this gap by investigating the effect of chief executive officers' (CEOs') optimism on firms' foreign market equity mode choice. In addition, we examine the moderating influence of the host country's rule of law on this relationship. Using primary data from 227 small and medium‐sized enterprises (SMEs) in Ghana, we found that increases in the levels of CEOs' optimism are related to the increases in preference for equity entry mode. This relationship is amplified when CEOs perceive the host country to have stronger rule of law. The findings have theoretical, managerial, and policy implications for SMEs' foreign market entry mode strategy.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".