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Record W4280545767 · doi:10.59876/a-9yea-59zg

Acquisitions et déploiement international des firmes multinationales issues des pays émergents : Étude du cas de l’entreprise brésilienne JBS

2023· article· en· W4280545767 on OpenAlexvenueno aff
Foued Cheriet, Pasquale Lubello

Bibliographic record

VenueManagement international · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationMultinational corporationBusinessSubsidiaryBusiness administrationDimension (graph theory)International businessEconomic geographyIndustrial organizationInternational tradeManagementFinanceEconomics

Abstract

fetched live from OpenAlex

The internationalization’s process of emerging countries’ multinational firms (EMNF) challenges the theoretical approaches in international business. This work aims to identify the specificities of EMNF’s internationalization through the study of the internationalization of JBS, a Brazilian firm world leader in meat production. Based on internal company data and a collection of secondary information, we have traced around fifty acquisition operations in Brazil and abroad. Our results confirm that the EMNFs’ internationalization process follows a specific trajectory compared to those revealed by last internationalization models (Born Global, Springbaord, Casino). It reveals a particular logic: strong financial dimension, acquisitions of subsidiaries of international groups, then used to acquire other firms, controlled geographical expansion and aimed at securing supply and distribution, and strong support from financial and political institutions in the origin country.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.281
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2023
Admission routes1
Has abstractyes

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