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Record W2300889963 · doi:10.1142/s0218495825500037

SME Internationalization: Can SMEs Overcome Liabilities of Foreignness and Smallness Through International and Product Diversification?

2025· article· en· W2300889963 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 Enterprising Culture · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsTed Rogers Centre for Heart Research
Fundersnot available
KeywordsInternationalizationDiversification (marketing strategy)BusinessIndustrial organizationProduct (mathematics)CommerceInternational tradeMarketing

Abstract

fetched live from OpenAlex

We draw from dynamic capability and organisation learning literature to examine whether internationalising Small and medium enterprises (SME) can overcome their liabilities of foreignness and smallness by jointly pursuing product diversification, and two international entry strategies of exporting and FDI. We employ a Japanese sample of 1,083 firm observations over a 9-year period from 1992 to 2000 to explore this question. The results suggest that SMEs may be able to overcome these liabilities by strategically focusing on low to moderate levels of export, FDI and product diversification. This approach leads to fewer mistakes and enables advantages of learning by doing. However, there are limits to such benefits when undertaking high levels of product and international diversification.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.245
Teacher spread0.234 · 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