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Investment and Control Decisions in Foreign Markets: Evidence from Service Industries

2010· article· en· W1931143398 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

VenueBritish Journal of Management · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsYork University
Fundersnot available
KeywordsInternationalizationTertiary sector of the economyMode choiceService (business)Sample (material)BusinessForeign direct investmentControl (management)Mode (computer interface)MarketingControl variableIndustrial organizationMicroeconomicsEconomicsComputer scienceManagement

Abstract

fetched live from OpenAlex

We empirically investigate the entry mode choice in the service sector. In contrast to current models, we propose a model for choice of entry mode that breaks down the decision into two levels of analysis: first, at the more macro level, the choice of the degree of commitment is influenced mainly by country‐related variables; second, at the more micro level, the choice of the degree of control is addressed by firm‐related variables. Based on a sample of 328 foreign market entries, our study contributes to the literature of entry mode in two ways: first, by showing the explanatory capacity of the hierarchical model in the analysis of entry mode choice in the service sector; and second, through identifying and analysing the moderating role of two important contingencies in this decision – capital intensity and degree of customization. Moreover, the study advances our knowledge of some of the particularities in the internationalization of service firms.

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)0.001
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 score0.662
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.020
GPT teacher head0.227
Teacher spread0.207 · 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