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Record W3133704351 · doi:10.24917/527

Formation and spatial organization of the international corporation Honda

2008· article· en· W3133704351 on OpenAlexaboutno aff
Wioletta Kilar, Monika Cieluch

Bibliographic record

VenueStudies of the Industrial Geography Commission of the Polish Geographical Society · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationAuto industryBusinessEconomyGeneral motorsManagementAutomotive industryEngineeringEconomicsFinance

Abstract

fetched live from OpenAlex

Considering the market value of the company in Business Week ranking “The Global” for the years 2003–2005, Honda Motor was fluctuating around the 100th place. In 2005 the value of the corporation increased in relation to the previous year and equaled $51, 96 billion. However, in the car corporations category, Honda Motor is ranked second, after Toyota Motor (with market value $158.20 billion), and the third car corporation Daimler Chrysler is worth $51,28 billion.The origin of the Honda corporation dates back to the 1920’s, when Soichiro Honda (1906–1991) started producing motorbikes during the post-war crisis period. In March 1948, he was joined by Takeo Fujisawa (1915–1989) with whom Soichiro Honda founded Honda Motor Corporation. Contemporarily, the organizational structure of the Honda Corporation is based on multilevel management. At present, the organizational basis is six Regional Offices, located all over the world, subject on executive level to the Chairman of the Board and ten directors. The company’s headquarters is in Tokyo, but it has its production and distribution branches located in Japan, USA, Canada, Mexico, GB, France, I taly, Spain, India, Malaysia, Pakistan, Philippines, Taiwan, Vietnam, Brazil and Turkey.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.003
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.093
GPT teacher head0.225
Teacher spread0.131 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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