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Record W165422460

Being tough doesn’t always pay off: The culture of honor vs dignity in negotiation

2012· article· en· W165422460 on OpenAlexaboutno aff
Zhaleh Semnani‐Azad, Wendi L. Adair, Katia Sycara, Michael Lewis

Bibliographic record

VenueD-Scholarship@Pitt (University of Pittsburgh) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsnot available
FundersArmy Research OfficeMultidisciplinary University Research Initiative
KeywordsHonorNegotiationDignitySocial psychologyMindsetPsychologySociologyPolitical scienceLawSocial scienceEpistemology
DOInot available

Abstract

fetched live from OpenAlex

Early work on cross-cultural negotiation has focused on East-West differences. In the current study we investigate the negotiation scripts employed by Middle Eastern negotiators, more specifically Iranian negotiators, in an intracultural interaction, compared to North American negotiators. We examine how the Iranian worldviews, beliefs, norms, and social behavior influence their goals and aspirations, negotiation tactics, and ultimately final outcome. We formulated our hypotheses based on the theory of honor-dignity cultures and illustrate how the importance of preserving and maintaining honor influences the Iranian negotiation strategies in business dealings. Our results illustrate that consistent with the culture of honor, Iranian negotiators are more likely to be competitive, express emotions, and employ distributive tactics compared to Canadian negotiators. Moreover, this competitive mindset leaves Iranian negotiators at a disadvantage as the overall joint gain is significantly lower than Canadian negotiators.

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)0.000
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 score0.292
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.024
GPT teacher head0.257
Teacher spread0.233 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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