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Record W2940116440 · doi:10.7202/1058163ar

Job Satisfaction, Turnover Intention and Work Performance in Chinese Family Enterprises

2019· article· en· W2940116440 on OpenAlexvenueno aff
Xiaobin Shu, Yeming Gong, Jie Xiong, Xin Hu

Bibliographic record

VenueManagement international · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
FundersNational Social Science Fund of ChinaNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsTurnover intentionJob satisfactionBusinessChinaChinese familyFamily businessSurvey data collectionPerspective (graphical)PsychologyPosition (finance)Work (physics)Demographic economicsSalientTurnoverSocial psychologyBusiness administrationMarketingManagementEconomicsPolitical scienceFinanceEngineeringComputer science

Abstract

fetched live from OpenAlex

Based on the analysis of survey data of 121 family enterprises in China, we find that the relationship between job satisfaction and turnover intention is insignificant for family members, but significant for non-family members. Moreover, our findings also indicate that the effect of job satisfaction on work performance is less salient for family members, but more significant for non-family members. Our results further show that managerial positions moderates the main effects. This paper enriches the literature of family business by examining the importance of family membership and managerial position in the governance of family enterprises in an emerging country.

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 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)0.000
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 score0.065
Threshold uncertainty score0.865

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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 teacher head, 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

Citations15
Published2019
Admission routes1
Has abstractyes

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