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Record W7096875630

2010 Published by Canadian Center of Science and Education 165

2015· article· en· W7096875630 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationOpenness to experienceEnthusiasmChinaGlobalizationCultural diversitySet (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

Globalization and economic openness have contributed to increased international negotiations in the 21st century. Despite the enthusiasm for increased global interaction and economic exchange, many people have found that cultural differences have hindered their ability to efficiently conduct business or negotiations due to their lack of understanding of the cultural differences in different countries. This paper explores the impact of religious culture on negotiations. Specifically, we compare and contrast the effects of religious orientation on the negotiating styles of Greater China (Taiwan, Hong Kong and China). The research aims to investigate the role of religious culture as a factor in shaping the negotiation styles of people with different religious beliefs. Casse and Deols ’ model of four negotiation styles was utilized in the research. The research found that there are different negotiation styles among the three countries which vary to significant degrees based upon the religious cultures within Taiwan, Hong Kong and China. These differences have imbued each country with a specific set of values and attitudes relating to their cultures. This study may help people develop more successful negotiation skills by giving them insight into the nuances of negotiations, and by identifying implications for negotiations and areas for future scholarly inquiry.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.527
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.015
GPT teacher head0.211
Teacher spread0.195 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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