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Record W2005392242 · doi:10.1177/1470595807075177

Chinese Conflict Management Styles and Negotiation Behaviours

2007· article· en· W2005392242 on OpenAlexaff
Zhenzhong Ma

Bibliographic record

VenueInternational Journal of Cross Cultural Management · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsNegotiationConflict managementChinaTask (project management)Empirical researchBusinessTest (biology)Management stylesPublic relationsSocial psychologyPsychologyPolitical scienceManagementEconomics

Abstract

fetched live from OpenAlex

China has been one of the most important markets for western firms, but negotiating with the Chinese is quite a challenging task. Researchers have been investigating the distinctness in Chinese negotiation and conflict management styles, but have yet to provide solid evidence for it. An attempt is made in this study to illustrate how Chinese people approach conflicts, and thus how this affects their negotiation behaviours during business negotiation, which provides an empirical test of Chinese conflict management styles and their impact on negotiation outcomes. Results show that compromising and avoiding are the most preferred methods of conflict management in China, while accommodating and competing lead to more satisfaction during business negotiation. Managerial implications and future studies are then discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.022
GPT teacher head0.403
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations62
Published2007
Admission routes1
Has abstractyes

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