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Record W4406254725 · doi:10.1016/j.intman.2024.101221

“Do you understand me correctly?” The role of accents in communication in global virtual teams

2025· article· en· W4406254725 on OpenAlex

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

VenueJournal of International Management · 2025
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsWestern University
Fundersnot available
KeywordsBusinessKnowledge managementPsychologyComputer scienceCognitive psychology

Abstract

fetched live from OpenAlex

This study investigates the role of accent-based status differences on communication within global virtual teams. Through a quasi-experimental study including 117 individuals and 357 voicemails and written messages, we examine recipients' perceptions of the sender's intentions. We show how accent status – distinguished between native and non-native – match in verbal communication plays a role in how listeners interpret feedback. Applying social identity theory and suggesting an extension to media synchronicity theory, our study advances language-sensitive international management research by demonstrating that accent – in addition to language proficiency – constitutes another aspect of language that plays a role in interaction among linguistically diverse global virtual team members. We discuss implications for practice and future research.

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)0.000
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 score0.461
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.009
GPT teacher head0.319
Teacher spread0.310 · 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