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Record W2740734639 · doi:10.1177/0170840617717548

The Aesthetics of Entrepreneurship: How Arts Entrepreneurs and their Customers Co-create Aesthetic Value

2017· article· en· W2740734639 on OpenAlexaff
Sara R. S. T. A. Elias, Todd H. Chiles, Carrie M. Duncan, Denise M. Vultee

Bibliographic record

VenueOrganization Studies · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsEmbodied cognitionValue (mathematics)The artsEntrepreneurshipAestheticsCo-creationProduct (mathematics)SociologyEthnographyProcess (computing)BusinessMarketingEpistemologyComputer scienceVisual artsArt

Abstract

fetched live from OpenAlex

Despite the fundamental role customers play in entrepreneurial creation processes, little is known about how value emerges from interactions and collaborations between entrepreneurs and their customers. We begin to address this question by exploring the relational and embodied processes through which entrepreneurs and their customers interact to co-create aesthetic value. On the basis of an 11-month multi-sited micro-ethnography of arts entrepreneurs, we abductively derive three interrelated processes: imagining, contemplating, and consensus building. Our key insight is that the customer plays a vital role throughout the entrepreneurial creation process: neither the entrepreneur nor the customer has the final say; rather, their embodied experiences combine with an evolving product to co-create aesthetic value.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.025
GPT teacher head0.251
Teacher spread0.225 · 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.

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

Citations78
Published2017
Admission routes1
Has abstractyes

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