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The Impact of Added Cultural Distance and Cultural Diversity on International Expansion Patterns: A Penrosean Perspective

2010· article· en· W2028183040 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 Management Studies · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMultinational corporationSubsidiaryExtant taxonEconomic geographyPerspective (graphical)Diversity (politics)Affect (linguistics)Cultural diversityCorporate governanceGermanVariety (cybernetics)Panel dataBusinessGeographyPolitical scienceSociologyEconomicsManagementEconometricsEvolutionary biologyBiologyMathematics

Abstract

fetched live from OpenAlex

abstract International strategy research has identified a variety of multinational enterprise (MNE) expansion patterns. Some MNEs appear to expand internationally at a stable rate, whereas others expand rapidly in one period and then tend to experience slower growth. The latter pattern suggests the occurrence of the Penrose effect. We identified two determinants of these diverging patterns. First, we propose that high levels of added cultural distance (reflecting expansion into new local contexts) during one period, may negatively affect further international expansion because of dynamic adjustment costs. Second, we suggest that managing a network of subsidiaries operating in a set of local contexts with high cultural diversity, increases environmental and internal governance complexity. Extant cultural diversity of the local contexts where the MNE is active in a first period may therefore discourage adding further cultural distance. We test the hypothesized relationships using a panel of 91 German companies.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.025
GPT teacher head0.307
Teacher spread0.282 · 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