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Record W2083874857 · doi:10.1509/jim.12.0078

Government Effectiveness, the Global Financial Crisis, and Multinational Enterprise Internationalization

2012· article· en· W2083874857 on OpenAlexaff
Christopher Williams, Candace A. Martinez

Bibliographic record

VenueJournal of International Marketing · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsWestern University
Fundersnot available
KeywordsMultinational corporationInternationalizationFinancial crisisForeign direct investmentSample (material)Financial institutionGovernment (linguistics)BusinessTransaction costEconomicsFinanceInternational tradeMacroeconomics

Abstract

fetched live from OpenAlex

This study examines the influence of national institutions on multinational enterprise entry mode behavior during economic downturns. Drawing on institutional and transaction cost theories, the authors propose (1) alternative hypotheses for the effect of host-country government effectiveness (a spatial institution) and (2) hypotheses for a direct and an indirect effect of a global financial crisis (a temporal event affecting all countries) on firms’ internationalization strategy. With a sample comprising 624 foreign expansion investments conducted by Dutch multinational enterprises between 2004 and 2009 into 66 countries, this investigation confirms that majority control more likely occurs when host-country government effectiveness is high or when the investment is made during a global financial crisis. The authors also find support for a hypothesized moderating effect of a global financial crisis. Concluding remarks discuss the implications of these findings for scholars and practitioners.

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)0.007
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.231
Teacher spread0.226 · 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

Citations43
Published2012
Admission routes1
Has abstractyes

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