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Record W6961323375 · doi:10.15027/16041

海外子会社の企業者活動 : インタビュー調査に基づいて <論説>

2014· other· en· W6961323375 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsKeiretsuSubsidiaryMultinational corporationEntrepreneurshipOrder (exchange)Competitive advantage

Abstract

fetched live from OpenAlex

The number of subsidiaries of Japanese multinational enterprises (JMNEs) is increasing in the past two decades. In this situation, in order to be competitive in a global market, JMNEs need to deploy resources and capabilities of their foreign subsidiaries, not solely dependent on parent companies' capabilities with which we are quite familiar and they also need to encourage entrepreneurship of them. In this paper, we made interviews with senior executives of Japanese automobile subsidiary and its first-tier Japanese parts makers in Canada to examine how an automobile transplant is encouraging or discouraging its parts suppliers' initiative to make full use of their resources and capabilities. Through the study, we found that entrepreneurship in the Japanese parts maker is impacted by automobile maker, especially automobile parent as well as parts parent both in Japan. Under the Keiretsu system, the entrepreneurial discretionary power of first-tier parts subsidiary is constrained. Whether or not the finding of the limited entrepreneurship is applicable also to the relationship between other Japanese automobile transplant and its captured parts subsidiary or to the relationship between other Japanese industrial MNEs and their supplier is still to be seen.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.034

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 head0.014
GPT teacher head0.254
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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