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Record W4323537692 · doi:10.3917/geco1.151.0042

La chute de Kodak : une affaire classée ?

2023· article· fr· W4323537692 on OpenAlexaff
Albéric Tellier

Bibliographic record

VenueAnnales des Mines - Gérer et comprendre · 2023
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsCouncil of Ontario Universities
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La faillite de Kodak est généralement considérée comme un cas exemplaire de disruption. Notre objectif est de revenir sur cette thèse, qui est aujourd’hui très largement partagée par les chercheurs et le grand public. L’analyse systématique des données publiées sur l’entreprise entre septembre 2003 et janvier 2008 révèle que la théorie de la disruption n’explique pas complètement le déclin de Kodak. Notre étude met notamment en évidence le rôle joué par les actionnaires dans le refus du plan initial de développement dans le numérique. Ces résultats montrent l’effet de l’activisme actionnarial sur les stratégies d’innovation de rupture. Ils permettent également de discuter des risques de biais de circularité dans l’utilisation de cas d’école pour illustrer des approches théoriques.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.004

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 head0.040
GPT teacher head0.270
Teacher spread0.230 · 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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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