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Record W4252123433 · doi:10.4018/jskd.2010070101

Leveraging Communities for Sustainable Innovation

2010· article· en· W4252123433 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.

Bibliographic record

VenueInternational Journal of Sociotechnology and Knowledge Development · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsSocial innovationEntrepreneurshipBusinessKnowledge managementInnovation managementEco-innovationMarketingSustainabilityPublic relationsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The concept of using future innovation to achieve “right to market” (R2M) (Koudal & Coleman, 2005) is the focus of this paper. This paper discusses the relationship between entrepreneurship and innovation and posits that they form a system where innovation is optimised when these capabilities are closely linked. The authors contend that innovation activities are best ‘managed’ by an organization’s entrepreneur(s) and that part of this role is to identify Innovation Champions and facilitate their innovation-related activities. The authors also explore the social and community interaction necessary for innovation to flourish and explain the role of entrepreneurs in forming Communities of Innovation (CoInv) based on innovation champions and their networks. This paper argues that CoInv are essential to ensure that each separate innovation has commercial potential and is operationally accepted with support diffused throughout the organisation. The authors demonstrate these assertions through a case discussion and conclude with some final comments on the future of this research.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.271
Teacher spread0.250 · 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