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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 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 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.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.006
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