The Success of the Global Business Leader: The Expatriate Perspective in Ghana
Bibliographic record
Abstract
In a fast-changing environment, both local and international companies have found that, one of the principal problems involve the failure to effectively manage people issues. The study examines the competencies that make a successful global leader from the expatriates’ perspective in the nongovernmental organizations’ sector of Ghana. Questionnaires were administered to 300 expatriates and Ghanaians who have worked abroad. Data from the survey were analysed using correlation and regression techniques. The results of the study indicate a statistical significant effect of each of managers’ ability to appreciate cultural diversity, use of appropriate technology and proper decision-making on the success of global leaders’ performance. The study revealed that, while age of the expatriates does not make any difference in determining success, the level of education and experience do have significant correlations with the success rate of expatriates’ performance. It is therefore recommended that, organizations should aim at developing policies which embrace competences such as appreciating cultural diversity and using appropriate technology for decision-making in global organizations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".