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Record W2781022267 · doi:10.5539/ibr.v11n1p157

A Study on the Cultural Influence on Business Negotiations: Evidence from Bangladesh

2017· article· en· W2781022267 on OpenAlexvenueno aff
Peng Zhangwen, Md. Rakibul Hoque

Bibliographic record

VenueInternational Business Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicBangladesh Politics, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationGlobalizationStyle (visual arts)Work (physics)BusinessCultural diversityPublic relationsPolitical scienceGeographyLaw

Abstract

fetched live from OpenAlex

Although many individuals speak of Bangladesh as a booming trading partner, in reality, negotiating for business in Bangladesh is systematic work. In the age of globalization and an increasingly globally integrated economy, businesspeople across the world negotiate with counterparts of different cultural backgrounds more often than ever before. However, little research has been conducted to identify the influence of culture on business negotiation in Bangladesh. This study examines the relationship between culture and negotiation style in Bangladesh. The data were collected from Bangladeshi business executives who have enormous experience in business dealings. The results suggest that it is important to consider the culture within a country when examining positive business outcomes.

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)0.002
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.256
GPT teacher head0.481
Teacher spread0.226 · 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.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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