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Record W2012367205 · doi:10.3917/riges.301.0031

Le management des équipes de R&D entre organisation et contrat d’incitation : l’essaimage stratégique

2005· article· fr· W2012367205 on OpenAlexvenueno aff
Michel Ferrary

Bibliographic record

VenueGestion · 2005
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Résumé L’innovation constitue un enjeu stratégique pour les entreprises de haute technologie qui justifie des investissements importants en R&D. L’optimisation de ces investissements relève surtout du management organisationnel de l’innovation qui conduit à l’élaboration de structures organisationnelles complexes dont l’efficacité reste limitée. Après avoir exploré les limites des postulats sous-jacents à cette approche, l’article montre que la relation entre les managers et les chercheurs est marquée par une asymétrie d’informations au profit de ces derniers. La problématique de la relation de délégation qui caractérise la relation entre l’employeur et le chercheur peut être résolue par l’essaimage stratégique. Cette pratique, qui permet à un chercheur de créer une entreprise à partir des travaux qu’il a réalisés dans le service de la R&D de sa maison mère, constitue une incitation économique et symbolique forte pour le chercheur à révéler ses informations et à valoriser financièrement sa recherche. L’essaimage stratégique est une pratique émergente dans les entreprises de haute technologie qui justifie la préférence méthodologique pour l’étude de cas approfondie de l’entreprise française la plus engagée dans cette démarche, à savoir France Télécom.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.026

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 head0.031
GPT teacher head0.268
Teacher spread0.237 · 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
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

Citations2
Published2005
Admission routes1
Has abstractyes

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