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Record W2031081404 · doi:10.1108/17468800610645013

Negotiating into China: the impact of individual perception on Chinese negotiation styles

2006· article· en· W2031081404 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Emerging Markets · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsNegotiationPerceptionChinaContext (archaeology)OriginalityEmerging marketsValue (mathematics)BusinessPsychologyProcess (computing)Social psychologyMarketingPolitical scienceComputer scienceGeography

Abstract

fetched live from OpenAlex

Purpose As one of the most important emerging markets, China presents the greatest challenge to companies that are planning to enter its market. The purpose of this study is to examine a critical process required for any successful market entry – negotiation – and explore the impact of individual perception on negotiation process within Chinese culture. Design/methodology/approach Specifically, the paper explores how negotiators' perception of the negotiation structure and the alternatives to the negotiated agreement would affect negotiation behaviors and outcomes in a Chinese context. Findings The results showed that the perception of an integrative potential for the negotiation situation predicted more integrative behaviors and the perception of better alternatives predicted more competitive behaviors during a negotiation simulation. Originality/value Implications are discussed on how to negotiate into China.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.372
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.339
Teacher spread0.328 · 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