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Record W4214934602 · doi:10.1108/ijoem-01-2021-0025

Internationalization of <i>Guanxi</i> from China to Africa

2022· article· en· W4214934602 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

VenueInternational Journal of Emerging Markets · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Global Influence and Migration
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGuanxiMindsetInternationalizationChinaInternational businessBusinessOriginalityEmerging marketsValue (mathematics)Political scienceSociologyQualitative researchInternational tradeSocial science

Abstract

fetched live from OpenAlex

Purpose This study focuses on the use of guanxi by African returnees from China in Africa. It explains how returnees understood and leveraged guanxi to collaborate with Chinese partners. Design/methodology/approach This study uses semi-structured interviews to document how guanxi is increasingly extending beyond Chinese borders. It focuses on Ethiopia, Kenya and Tanzania and analyzes the returnees' mobilization of guanxi in Sino–African business contexts. Findings African returnees play an increasingly important role in guanxi internationalization in Africa. Returnees' understanding of guanxi is shaped by their African traditions and their Chinese experiences, creating their new cultural capital and a dynamic Sino–African business mindset. Originality/value This paper reveals an emerging shift in the business mindset among African returnees once initiated in guanxi . In addition, guanxi is increasingly practiced by African organizations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.317
Teacher spread0.304 · 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