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Record W4406328095 · doi:10.62465/rpca.v4n1.2025.91

Innovation as a market domination strategy in Canadian nanotech firms

2025· article· en· W4406328095 on OpenAlexaboutno aff
Gabriela García Cañarte, Angélica Victoria Guillén Pinargote

Bibliographic record

VenueRevista Política y Ciencias Administrativas. · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsDimension (graph theory)TransferabilityMeaning (existential)Value (mathematics)Knowledge managementBusinessProcess (computing)Position (finance)Innovation managementMarketingComputer scienceEpistemology

Abstract

fetched live from OpenAlex

This article proposes to understand the concept of “innovation” as an eclectic concept whose different meaning vary according to contextual and organizational factors. The definition of “innovation” is studied from websites of 22 Canadian nanotechnological enterprises. The adopted epistemological position is qualitative interpretative, and the reasoning method is inductive which allowed the emergence of new dimension of the concept of innovation. In that way, the results presented in this research contribute to the extension of existing knowledge on strategy and innovation. The interpretative analysis reveals four meanings of innovation: innovation as market domination strategy, innovation as a creative process and innovation as a value of commitment. Additionally, we suggest that Canadian nanotechnology enterprises focus on innovation strategies based on the development of nanomaterials more than on the development of finished products. Our discussion is built around the multidimensional nature of the concept of innovation and the challenges regarding the transferability of this results on other sectors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.766

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0090.005
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.288
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2025
Admission routes1
Has abstractyes

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