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Record W2468779706 · doi:10.5430/jbar.v5n2p8

Open Innovation in Eastern Europe and Central Asia

2016· article· en· W2468779706 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Business Administration Research · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessIndustrial organizationOpen innovationEconomic geographyCompetitive advantageCentral asiaEconomic systemMarketingInternational tradeEconomics

Abstract

fetched live from OpenAlex

Innovation has been regarded as the crucial driving force for competitiveness. Recently, new approaches to innovation have transformed the innovation activities of firms. Open innovation, for instance, has emphasized the role of external partners in increasing innovation performance and competitiveness. In this analysis we link the implementation of open innovation practices to the competitive environment of the firm. We use a comprehensive firm level dataset for firms in 30 countries in Eastern Europe and Central Asia. We find that innovation activities are significantly affected by the competitive environment of the firm. The competitive intensity exerts an inverse u-shaped effect on innovation activities. For the implementation of open innovation practices we do not find significant effects exerted by the competitive environment. Rather, we see that it is international ownership linkages that facilitate the diffusion and implementation of open innovation practices in firms in Eastern Europe and Central Asia.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.186
GPT teacher head0.364
Teacher spread0.178 · 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