The Culture Shock and Cross-Cultural Adaptation of Chinese Expatriates in International Business Contexts
Bibliographic record
Abstract
This thesis aims to investigate the influential causes of culture shocks experienced by Chinese business expatriates, and meanwhile to reveal their difficulties in the cross-cultural adaptation in international business contexts. The research was conducted on the base of a semi-structured interview and an on-line survey among 80 Chinese business expatriates who came from a wide range of corporations and organizations. Through a quantitative-and-qualitative analysis, eight major influential causes of culture shock were identified, namely, business communication, language, individualism, collectivism, power distance, time orientation, religion, and tradition. The study also found that all Chinese expatriates encountered some cultural shocks in international business context and were greatly affected by communication, language, religious and traditional issues. The study further revealed three major difficulties in the cross-cultural adaptation: poor adaptability of business communication, language barriers and heavy pressure from work duties. Finally, based on the findings, several effective measures for a better cross-cultural adaptation were proposed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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 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".