A Comparative Study of Sino-U.S. Business Negotiation Strategy From the Perspective of Cultural Dimensions Theory
Bibliographic record
Abstract
Business negotiation serves as an important activity in Sino-U.S. trade where Chinese companies pay much attention to the relations with their American counterparts. Due to the salient differences in cultures and ways of doing business, negotiating conflicts occur frequently, which impedes the smooth advance of business activities. This comparative research aims to analyze differences in Sino-U.S. business negotiation from an intercultural perspective, providing advice for Chinese negotiators in an attempt to reduce misunderstandings and disputes. The author has collected information about the definition of international negotiation as well as the current state of intercultural research and summarized previous related studies. This study employs Hofstede’s cultural dimensions theory and conducts case analysis in ways that apply the theory into practical negotiation situation. The findings show that Chinese negotiators value long-term business partnership; in addition, they often consult their superiors when the expected conditions change; in terms of communication model, Chinese negotiators prefer indirect speech and constantly use euphemism; a general framework on the contract is more important than specific details for them. American negotiators give priority to the realization of business goals; negotiators represent the company to make decisions and are responsible for the negotiation results; Americans often point out issues face to face and specify concrete solutions to problems; compared with Chinese negotiators, they prefer to reach a consensus on detailed matters and stress less on general tenets. This study illustrates features of Sino-U.S. negotiation in an attempt to provide guidance for future related studies. The author also tries to summarize some pragmatic strategies for Chinese negotiators so as to facilitate the negotiation.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".