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Record W2127062968 · doi:10.1002/pa.331

Patterns of internationalization of Chinese firms—empirical study based on strategic approach

2009· article· en· W2127062968 on OpenAlexfundno aff
Xinming Deng

Bibliographic record

VenueJournal of Public Affairs · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
FundersHEC MontréalNational Office for Philosophy and Social SciencesHuazhong University of Science and Technology
KeywordsInternationalizationBusinessIndustrial organizationForeign direct investmentAdaptabilityValue (mathematics)Competitive advantageMarketingInternational tradeEconomicsManagement

Abstract

fetched live from OpenAlex

Abstract In this study, firstly we provide an analytical framework for international activities, which are of theoretically significant importance to research and understand the patterns of internationalization. Then, we take 500 top Chinese enterprises as study objects and analyse deeply the behaviour of their FDI (foreign direct investment) scenario from three aspects, namely motivations, entry modes and location choices. The results reveal that: (1) Chinese companies' internationalization is still at the early stage and has not reached the upstream value chain of internationalization; (2) the internationalization business of Chinese companies is diversified in destinations; (3). Chinese companies' modes of entering overseas markets are flexible and most companies have actively tried diverse entry modes with more adaptability; (4) the rapid increase of the FDI by the transnational strategic assets‐seeking companies shows that Chinese companies are inclined to protect and improve competitive advantages through obtaining new assets rather than making use of existing competitive advantages as before. Some implications of findings are also discussed finally. Copyright © 2009 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.286
Teacher spread0.245 · 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 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

Citations9
Published2009
Admission routes1
Has abstractyes

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