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Record W4405542328 · doi:10.1504/ijgsb.2024.143403

Perception of diversity in born globals' business performance: a multiple case, multiple country study

2024· article· en· W4405542328 on OpenAlexaboutno aff
Laurent Téoule Dorey, Kimberly M. Reeve

Bibliographic record

VenueInternational Journal of Globalisation and Small Business · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsDiversity (politics)PerceptionBusinessGeographyEconomic geographyPolitical sciencePsychology

Abstract

fetched live from OpenAlex

This qualitative multiple case study explored the perceptions of top managers from born global firms (BGFs) in Australia, Canada, and France regarding the role of diversity and its effect on business performance. Conducted remotely, the study included 16 in-depth, semi-structured interviews spanning three continents to examine how these firms manage their resources and leverage diversity. A key finding from this research was that successful BGFs typically adopt a 'mosaic workforce' approach, characterised by a blend of distinctive and indispensable individuals. This workforce diversity was seen as a critical intangible asset that requires respect, nurturing, and strategic management. Subject matter experts consistently underscored the importance of diversity, emphasising that it is deeply embedded within their organisations through a strong corporate culture and a cohesive management philosophy. This alignment of values and leadership reinforced the commitment to team diversity, demonstrating its integral role in fostering innovation and competitive advantage in global markets.

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)0.001
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 score0.014
Threshold uncertainty score0.999

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 communication0.0000.001
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 head0.043
GPT teacher head0.310
Teacher spread0.267 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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