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Record W1519119867

Unternehmenskooperationen im Innovationsprozess: Erste deskriptive Befunde neuer Fragen im ifo Innovationstest

2010· article· de· W1519119867 on OpenAlexfundno aff
Oliver Falck, Stefan Kipar, Pascal Paul

Bibliographic record

VenueEconstor (Econstor) · 2010
Typearticle
Languagede
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsnot available
FundersSloan School of Management, Massachusetts Institute of TechnologyUniversity of TorontoFriedrich-Schiller-Universität Jena
KeywordsPolitical scienceGynecologyHumanitiesArtMedicine
DOInot available

Abstract

fetched live from OpenAlex

In der letzten Welle des ifo Innovationstests wurde erstmals ein Fragenkomplex zum Kooperationsverhalten von Unternehmen im Innovationsprozess aufgenommen. Erste deskriptive Auswertungen zeigen erhebliche Unterschiede zwischen Unternehmensgrößenklassen, Regionen und Branchen. Kleinere und mittlere Unternehmen kooperieren weniger im Innovationsprozess. In Ostdeutschland spielt die Kooperation im Innovationsprozess eine größere Rolle als in Westdeutschland. Tendenziell wird in agglomerierten Gebieten mehr kooperiert. Einige Branchen, wie der Maschinenbau, sind zwar innovativ, kooperieren aber wenig im Innovationsprozess. Bezüglich der geographischen und technologischen Nähe von Kooperationspartnern zeigt sich, dass Unternehmen mit einer Vielzahl von anderen Branchen kooperieren. Bei der Interpretation der Befunde muss allerdings berücksichtigt werden, dass es sich bei den hier berichteten Ergebnisse um deskriptive Zusammenhänge handelt, die in dieser Form nicht als kausale Effekte interpretiert werden können.

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)0.002
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.011

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 head0.020
GPT teacher head0.218
Teacher spread0.199 · 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 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
Published2010
Admission routes1
Has abstractyes

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