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Record W2043784375 · doi:10.5430/ijfr.v3n3p8

The Strategic Transformation of Automobile Industry in China

2012· article· en· W2043784375 on OpenAlexvenueno aff
Som Techakanjanakit, Meifang Huang

Bibliographic record

VenueInternational Journal of Financial Research · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsChinaAutomotive industryBusinessProduction (economics)Brand strategyAuto industryIndustrial organizationFinancial crisisCommerceMarketingBrand managementEconomicsEngineeringPolitical science

Abstract

fetched live from OpenAlex

In the past few years, the global automobile industry is developing difficultly because of the influence from the financial crisis. In contrast, China's automobile production and sales are still having a blowout type growth, and jumped into the world's largest automobile production and sales market. At the same time, Chinese automobile companies continue to deepen and join with international brand cooperation; independent research and development of the independent brand production, and their technical also get greatly strengthened. Similarly, in the tide of industrial upgrading and international acquisitions, strategic transformation era of Chinese automobile industry has gradually started. This paper based on the world economic crisis brought both challenge and opportunity to the automobile industry in China, comprehensively analysis China's automobile industry development present situation and development trend in the transformation era, with case analysis of China's automobile companies, and then gives some suggestions on China's automobile industry strategy adjustment in transformation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.090
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.069
GPT teacher head0.354
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2012
Admission routes1
Has abstractyes

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