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Record W2607039552 · doi:10.18374/jibe-15-4.1

EFFECT OF GENDER ON PERCEPTIONS OF THE ETHICAL APPROPRIATENESS OF NEGOTIATING TACTICS

2015· article· en· W2607039552 on OpenAlexaboutno aff
Riadh Ladhari, Hamida Skandrani

Bibliographic record

VenueJournal of International Business and Economics · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationMisrepresentationSample (material)PerceptionPsychologySocial psychologyPublic relationsMarketingPolitical scienceBusinessLaw

Abstract

fetched live from OpenAlex

ABSTRACT This study examines the influence of gender on ethical judgments regarding the appropriateness of various negotiating tactics through an empirical study of business students. Two convenience samples of Canadian and Tunisian business students were asked to rate the appropriateness of eighteen negotiating tactics representing five categories of these tactics: misrepresentation of information, inappropriate information gathering, traditional competitive bargaining, manipulation of opponent's network, and bluffing. The findings reveal that in both Canadian and Tunisian samples, female respondents were generally more intolerant than males with regard to the ethical 'appropriateness' of questionable negotiating tactics. Within the Canadian sample, there were differences between men and women in four categories and twelve individual tactics. Within the Tunisian sample, there were differences in only three categories and six individual tactics. Keywords Negotiating Tactics; Ethical Judgment; Gender; Business Students; Canada; Tunisia.

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)0.001
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 score0.081
Threshold uncertainty score0.162

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 communication0.0000.000
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 head0.034
GPT teacher head0.319
Teacher spread0.285 · 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
Published2015
Admission routes1
Has abstractyes

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