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Record W2027678730 · doi:10.1111/jscm.12035

The Role of the <i>Guanxi</i> Institution in Skill Acquisition Between Firms: A Study of Chinese Firms

2013· article· en· W2027678730 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 Supply Chain Management · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsCarleton University
FundersNational Natural Science Foundation of ChinaCity University of Hong Kong
KeywordsGuanxiInstitutionBusinessSocial exchange theoryInterpersonal tiesChinaInformation sharingIndustrial organizationKnowledge managementMarketingPsychologySocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

The prevalence of personal connections in China, or guanxi , constitutes an institution that governs how people exchange favors. This study explores the effects of the guanxi institution on interfirm relational ties, information sharing, and the acquisition of skills across firms. According to social network theory, the marginal benefit of interfirm relational ties on information sharing should decrease with the strength of ties; according to information overload theory, information sharing should have an inverted U‐shaped effect on the acquisition of skills. Institutional theory further suggests that the links across these three constructs are subject to the influence of the guanxi institution. With data collected from 338 manufacturing companies, this study shows that the links differ across environments that have strong versus weak guanxi institutions. A strong guanxi institution generally promotes information sharing and skill acquisition, but it also has a dark side.

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)0.000
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 score0.054
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.252
Teacher spread0.245 · 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