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Record W2006280771 · doi:10.5539/ibr.v2n1p3

Foreign Parent Strategies, Control and International Joint Venture Performance

2009· article· en· W2006280771 on OpenAlexvenueno aff
Nguyen Huu Le, Jorma Larimo

Bibliographic record

VenueInternational Business Research · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
FundersAcademy of Finland
KeywordsInternational joint ventureControl (management)BusinessJoint ventureIndustrial organizationMechanism (biology)Empirical researchFocus (optics)MarketingEmpirical evidenceCommerceEconomicsManagement

Abstract

fetched live from OpenAlex

This paper develops and expands upon an important connection between foreign parent firm strategies, the manner in which they control their international joint ventures (IJVs), and the performance of those IJVs. Parent firms’ strategies refer to strategic motives, importance, focus, and competitiveness. Foreign parent firm control is conceptualized across three dimensions including the control mechanism, the control focus, and the extent of control. Our empirical evidence is based on the survey data collected from Finnish firms that established IJVs with local firms in the 1990s. The empirical evidence show different strategies used in IJVs by foreign parent firms required different control structures in IJVs. In addition, the firms that adapted control structure in their IJVs according to their strategies were more satisfied with their IJV performance than those who did not. As such, the paper takes a step further from just being concerned about parent firms’ strategies and moves our thinking toward understanding how to realize such strategies through proper control.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.329
Teacher spread0.263 · 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

Citations18
Published2009
Admission routes1
Has abstractyes

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