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Record W4200345902 · doi:10.3390/admsci11040153

Collaboration among Small and Medium-Sized Enterprises as Part of Internationalization: A Systematic Review

2021· review· en· W4200345902 on OpenAlex
Luciana Gondim de Almeida Guimarães, Pierre Blanchet, Yan Cimon

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdministrative Sciences · 2021
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversité LavalNatural Sciences and Engineering Research Council of Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInternationalizationBusinessSystematic reviewMarket orientationMarketingIndustrial organizationKnowledge managementPolitical scienceInternational tradeComputer science

Abstract

fetched live from OpenAlex

This article performs a systematic review of the research literature on the forms of collaboration among small and medium-sized enterprises (SMEs) so that they reach the foreign market, since there is a lack of research focusing on the collaborative relationship between national companies as a strategic option for accessing the foreign market. In addition, we analyzed the articles to conceptually synthesized the elements that make up the business models of these collaborative forms of operating in the foreign market. Likewise, we analyzed real cases of collaborative processes among SMEs for the foreign market and highlight the contributions of governments in promoting actions to support these collaborations. We also show some directions for future research that were pointed out by the articles.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.299
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.077
GPT teacher head0.360
Teacher spread0.283 · 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