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Record W4206538168 · doi:10.3390/jrfm15010016

Extending Uppsala Model with Springboard Perspective in Emerging Multinational’s Sequential Internationalisation—Evidence from a Construction Company’s Expansion in Africa

2022· article· en· W4206538168 on OpenAlexvenueno aff
Ruosu Gao, Qiuling Gao, Xiaolin Zhuang, Kaiyang Sun

Bibliographic record

VenueJournal of risk and financial management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsInternationalizationMultinational corporationEmerging marketsInternational businessPerspective (graphical)BusinessEmpirical researchEmpirical evidenceMarketingEconomic geographyIndustrial organizationInternational tradeEconomicsManagementFinance

Abstract

fetched live from OpenAlex

The Uppsala model explains the traditional internationalisation process of multinational enterprises (MNEs), which gradually begin to internationalise from countries with smaller psychic distances. However, in the turbulent global economy, an increasing number of MNEs from emerging markets (EMNEs) adopts a more radical and aggressive approach, strategically using international expansion as a springboard to enter an overseas market and radiate surrounding countries and regions. By combining the springboard perspective and the Uppsala model, we analyse a series of processes from EMNE’s first entry into an overseas market to the successful localisation and expansion of international business. This radical model of international expansion has not been thoroughly studied. This empirical study aims to address this research gap by using a qualitative method and an in-depth case study. This paper conducted a semi-structured interview with 16 expatriates, executives, and middle-level managers from the case company in 2016. As one of the few single case studies that systematically studies the internationalisation process of EMNEs and provides first-hand empirical evidence, it contributes to practice and provides a contextual reference for EMNEs.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.009
Scholarly communication0.0070.010
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.236
Teacher spread0.218 · 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 designQualitative
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

Citations13
Published2022
Admission routes1
Has abstractyes

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