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Record W2802743937 · doi:10.1002/tie.21981

Hidden influences in international negotiations: The interactive role of insecure cultural attachment, risk perception, and risk regulation for sellers versus buyers

2018· article· en· W2802743937 on OpenAlex
Tuvana Rua, Zeynep G. Aytug, Mary C. Kern, Sujin Lee, Wendi L. Adair

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

VenueThunderbird International Business Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNegotiationPerceptionRisk perceptionSocial psychologyStyle (visual arts)Attachment theoryPsychologyBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

This research examines the previously unstudied role of cultural attachment in international negotiations. Specifically focusing on the fearful attachment style, this article reveals the intricate interaction of cultural attachment, risk perception, and risk regulation on negotiators' ability to claim value in international negotiation. Supporting our theorizing based on cultural attachment and prospect theory, findings show that risk‐averse sellers with fearful attachment to their national culture perceive greater risk and in turn are more motivated to regulate risk through relationship‐building with their counterpart (Study 1). Moreover, these individuals achieve lower economic gains when they regulate relational risk by making fewer threats to walk away (Study 2). We discuss the implications and the importance of understanding one's attachment to own national culture as its interplay with role and risk mechanisms impacts effectiveness in international negotiations.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.363
Teacher spread0.330 · 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