Moderating effects of networks on the relationship between acculturation and entrepreneurial skills development: Evidence from Africans trained in China
Bibliographic record
Abstract
With the growing number of Africans living in China for education and business engagements, it is timely and relevant to study how they are influenced by Chinese cultural values. Applying the theory of acculturation, this article analyses the influence of Chinese culture on the entrepreneurial skills of Africans trained in China. Several reports in the existing literature suggest that adaptation can lead to improved performance and creativity. We extend this to include both social and business networks as moderating factors. Using a survey of 378 African returnees from China, we found out that sociocultural and academic adaptations influence entrepreneurial skills development positively, whereas psychological adaptation has a negative effect. In terms of moderating effects, networking seems to have a negative effect on the relationship between academic adaptation and entrepreneurial skills development. However, it does not significantly moderate the impact of psychological and sociocultural adaptations on entrepreneurial skills development.
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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 | 0.000 | 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) | 0.000 | 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".