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Record W1916289273 · doi:10.1002/smj.2408

Contingent value of director identification: The role of government directors in monitoring and resource provision in an emerging economy

2015· article· en· W1916289273 on OpenAlexafffund
Hongjin Zhu, Toru Yoshikawa

Bibliographic record

VenueStrategic Management Journal · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of CanadaMcMaster University
KeywordsCorporate governanceFiduciaryGovernment (linguistics)State ownershipResource (disambiguation)BusinessResource dependence theoryValue (mathematics)Identification (biology)Resource-based viewAccountingEmerging marketsEconomicsFinanceMarketingCompetitive advantageManagementLawPolitical science

Abstract

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Research summary: Although previous studies have explored the value of government directors, less attention has been directed at the antecedents of government directors' engagement in value‐adding activities, such as managerial monitoring and resource provision. Drawing on social identity theory, we offer a novel model that specifies how a government director's dual identifications with the focal firm, and with the government individually and interactively affect his or her governance behavior. An investigation of government directors in China shows that their identification with the focal firm enhances monitoring and resource provision, while their identification with the government affects monitoring and resource provision differently. depending on the dominance of state ownership. The synergistic/substitutable effects between the two types of identification are contingent on state ownership and governance roles. Managerial summary: This study examines how a government director's dual identities—as a government official and as a board member of a focal firm affect his or her engagement in managerial monitoring and resource provision. Using data of Chinese listed firms, we find that government directors who strongly identify with the focal firm or with the government are highly motivated to fulfill their fiduciary obligations. However, the positive effects of their identification with the government differ between state‐owned enterprises ( SOEs ) and non‐ SOEs . The combination of the two identifications offers a further boost to monitoring in non‐ SOEs , and to resource provision in both SOEs and non‐ SOEs , but it acts as a disincentive to monitoring in SOEs . Copyright © 2015 John Wiley & Sons, Ltd.

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)0.001
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 score0.032
Threshold uncertainty score0.405

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 communication0.0000.001
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 head0.027
GPT teacher head0.240
Teacher spread0.213 · 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

Citations66
Published2015
Admission routes2
Has abstractyes

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