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Record W1970737646 · doi:10.1108/14715200680001345

Changing the Capital: Innovation in London’s Small Firms

2006· article· en· W1970737646 on OpenAlexaff
David Stokes, Matthew James

Bibliographic record

VenueJournal of Research in Marketing and Entrepreneurship · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsWorkplace Health, Safety and Compensation Commission
Fundersnot available
KeywordsMarketingBusinessPossession (linguistics)Small businessProduct (mathematics)Sample (material)Product innovation

Abstract

fetched live from OpenAlex

A considerable body of literature has emerged in recent years that has documented the increasing importance of innovative practices in small business firms within the United Kingdom. Much of this literature has developed in response to reports that UK firms were underperforming in the area of innovative practices in comparison to firms in other countries. The present paper asserts that an inextricable link exists between innovation and marketing, particularly in the field of new product development, and seeks to generate a clearer picture of the characteristics of both innovative owner‐managers and innovative businesses. On the basis of data drawn from a sample of 233 small and medium‐sized businesses in greater London, archetypes of innovative entrepreneurs and businesses are developed. The typical innovative business owner is shown to be young to middle‐aged and is willing to take risks and embrace new technologies. The typical innovative business is in the start‐up stage of development and is in the possession of a current business plan and markeing plan. The implications of these archetypes are discussed, as are concerns regarding how best to measure innovation and to evaluate the role of innovation in relation to small businesses.

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)0.014
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.295
Teacher spread0.247 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2006
Admission routes1
Has abstractyes

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