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Record W3169500896 · doi:10.1108/cms-05-2020-0182

The influence of motivations on international location choice in least developed, emerging and developed countries: evidence from Chinese MNEs

2021· article· en· W3169500896 on OpenAlexaffabout
Fernando Angulo‐Ruiz, Albena Pergelova, William Wei

Bibliographic record

VenueChinese Management Studies · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsSimon Fraser UniversityMacEwan University
Fundersnot available
KeywordsEmerging marketsInternationalizationMultinational corporationBusinessDeveloping countrySample (material)Promotion (chess)ChinaMarketingIndustrial organizationEconomicsInternational tradeEconomic growth

Abstract

fetched live from OpenAlex

Purpose This research aims to assess variations of motivations when studying international location decisions. In particular, this study aims to assess the influence of diverse motivations – seeking technology, seeking brand assets, seeking markets, seeking resources and escaping institutional constraints – as determinants of the international location choice of emerging market multinational enterprises (EM MNEs) entering least developed, emerging, and developed countries. Design/methodology/approach The authors develop a set of hypotheses based on the ownership–location–internalization framework and complement it with an institutional perspective. The conceptual model posits that the different internationalization motivations (seeking technology, seeking brand assets, seeking markets, seeking resources and escaping institutional constraints) will impact the location choice of EM MNEs in developed economies, emerging markets or least developed countries. This study uses the 2013 survey data collected by the China Council for the Promotion of International Trade and the Asia Pacific Foundation of Canada. The final sample of analysis of this research includes 693 observations. Findings After controlling for several variables, two-stage Heckman regressions show there is a variation of motivations when EM MNEs enter least developed countries, emerging markets and developed economies. EM MNEs are motivated to enter least developed countries to seek markets and resources. Conversely, those firms enter developed countries in their search for technological assets and to escape institutional constraints at home. While the present study findings show a clear difference in the motivations that lead to location choice in least developed vs developed countries, the results are not as clear for location in other emerging countries. Research limitations/implications The paper offers empirical support for the importance of motivations as crucial determinants of location choice. Originality/value This paper provides a detailed quantitative study on the internationalization location choice of EM MNEs based on their motivations. Though theoretical models underscore the importance of motivations, we know very little about how, in practice, motivations drive location choice. This study contributes to the international location choice literature a deeper understanding of how diverse motivations drive choices of expansion into developed economies, emerging markets or least developed countries.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.029
GPT teacher head0.303
Teacher spread0.274 · 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

Citations10
Published2021
Admission routes2
Has abstractyes

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