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Record W1871034048 · doi:10.1017/mor.2015.13

<i>Guanxi</i> Practice and Quality: A Comparative Analysis of Chinese Managers’ Business-to-Business and Business-to-Government Ties

2015· article· en· W1871034048 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

VenueManagement and Organization Review · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsQueen's University
Fundersnot available
KeywordsGuanxiBusinessChinaGovernment (linguistics)Quality (philosophy)ObligationVariety (cybernetics)MarketingPublic relationsPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT This study provides new insight into guanxi practice and quality differences between business-to-business (B2B) and business-to-government (B2G) ties in China. The results, based on data obtained through structured interviews with 108 Chinese managers across eight cities in China, reveal stark differences between the practices used in developing B2B ties and those used in developing B2G ties. More specifically, these two tie types differ in a variety of guanxi initiation, building, and utilization practices. This study also builds upon the process model of guanxi development by highlighting the dissimilar role of gift giving practices in B2B and B2G ties. Furthermore, this study measures guanxi quality as a separate concept from guanxi process and demonstrates that guanxi quality is a multidimensional concept that is composed of affective attachment and felt obligation, both of which vary across B2B and B2G ties. Implications of these results for theory development and managerial practice in China are also discussed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.011
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.041
GPT teacher head0.303
Teacher spread0.262 · 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