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Record W2901056090 · doi:10.3846/tede.2018.5694

INTERNAL R&D AND EXTERNAL INFORMATION IN KNOWLEDGE-INTENSIVE BUSINESS SERVICE INNOVATION: COMPLEMENTS, SUBSTITUTES OR INDEPENDENT?

2018· article· en· W2901056090 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTechnological and Economic Development of Economy · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInnovation Policy and R&D
Canadian institutionsMcGill UniversityHEC Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBusinessIndustrial organizationService (business)Order (exchange)Logistic regressionMarketingKnowledge managementComputer scienceStatisticsMathematicsFinance

Abstract

fetched live from OpenAlex

This paper analyses the effect of internal R&D and of external sources of information on the innovation performance of Knowledge intensive business services (KIBS). The analysis is based on an establishment-level survey covering the period of 2011–2014 in Canada (Quebec). In order to determine the influence of different external information sources on innovation and the extent to which internal R&D and the use of external information sources are related to innovation, a series of logistic regressions are performed on four different measures of innovation. The results show that KIBS innovation is positively connected to market-related information sources (but not to research and academic sources), that KIBS innovation is positively associated with the performance of R&D, and that there are no synergies associated with the combined performance of R&D and external information gathering: their effects are independent and additive. These results share some similarities, but also some important differences, with those that have been obtained from the study of R&D and external information sourcing in manufacturing establishments.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.089
GPT teacher head0.279
Teacher spread0.190 · 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