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Record W4280648300 · doi:10.3390/economies10050114

Formal vs. Informal Institutional Distances and the Competitive Advantage of Foreign Subsidiaries in Latin America

2022· article· en· W4280648300 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

VenueEconomies · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSubsidiaryEmerging marketsHofstede's cultural dimensions theoryBusinessCorporate governanceLatin AmericansSample (material)Competitive advantageIndustrial organizationEconomic geographyInternational economicsEconomic systemEconomicsMarketingMultinational corporationPolitical scienceSociologyFinance

Abstract

fetched live from OpenAlex

By focusing on the tacit and explicit characteristics of informal and formal institutional distances, this study investigates the competitive advantage of foreign subsidiary firms from developed countries and emerging markets operating in Latin America. Following recent research on distances in international management, this study measured the size and direction of distances and computed formal institutional distances based on the world governance indicators from the World Bank, whereas informal institutional distances are calculated using the four original dimensions of Hofstede. Considering that culture is tacit, whereas formal institutions are explicit, it is argued that these differences affect the ability to convert experience dealing with cultural and formal institutional conditions in the home country into firm specific advantages (FSAs) in a foreign host country. These assumptions are tested quantitatively using data from the Orbis database, a sample that includes over 4200 firm-year observations covering 10 of the largest economies in Latin America. In a departure from previous studies investigating the implications of FID direction, it is shown that the effects in specific directions are different for foreign subsidiaries from developed countries and from emerging markets. The results reveal that emerging market firms are at an advantage when operating in less developed host countries, whereas foreign subsidiaries from developed countries can adjust more positively when operating in host countries with strong formal institutions. On the other hand, the effects of the different CD dimensions depend on the direction towards host countries with specific cultural profiles. These findings indicate that foreign subsidiaries from emerging markets have a clear advantage in dealing with institutional voids in Latin America (i.e., FID towards less developed host countries), whereas the effects of CD are the same for all firms. This suggests that the cultural profile of the host country is what really matters.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.402

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 science0.0000.000
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 head0.007
GPT teacher head0.187
Teacher spread0.181 · 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