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Record W2073022430 · doi:10.1002/pa.273

The determinants of corporate political strategy in Chinese transition

2007· article· en· W2073022430 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Public Affairs · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPolitical Influence and Corporate Strategies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsIncentivePoliticsGovernment (linguistics)InstitutionTransition (genetics)Empirical researchEconomicsMarketingEmpirical evidenceStrategic managementBusinessIndustrial organizationPublic economicsMicroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Abstract Corporate political strategy (CPS) formulation in Chinese transition is an area with little empirical work. We fill this gap validly and the primary focus of this study is to examine the firm‐ and industry‐level factors influencing Chinese firms' political strategy choice. Empirical support is found for the taxonomy of corporate political strategies in Chinese transition—that is direct participation strategy, financial incentive strategy, prolocutor strategy, institution innovation strategy, government association strategy and government involvement strategy. The results indicate that there is no consistently significant firm‐ and industry‐level predictor of all six political strategies and we explore what determinants are related to each specific decision independently. We also verify the random effects of industry‐level variables and our hypotheses are tested through using general evaluation equations (GEEs). Our study aims to be helpful to point managers toward both industrial environments and internal resources to consider when making appropriate political strategy choices and thus improve Chinese firms' strategy management level. Some implications of findings are also discussed finally. Copyright © 2007 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.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.284
Teacher spread0.238 · 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