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Record W2014779747 · doi:10.1386/cij.5.1-2.105_1

Creative industry: Lacklustre business — Swedish fashion firms' combination of business and aesthetics as a competitive strategy

2012· article· en· W2014779747 on OpenAlexfundno aff
Atle Hauge

Bibliographic record

VenueCreative Industries Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
FundersVetenskapsrådetUppsala UniversitetUniversity of Toronto
KeywordsCreativityCreative industriesMarketingBusinessCompetitive advantageResource (disambiguation)Empirical researchPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

The view that creativity and innovation is the key to survival and success in contemporary economy is widely accepted. In fact, creativity and innovation has become so omnipresent in the discourse that one can get the impression this is a goal in itself, not a means to stay competitive. However, ultimately, creative contributions have to be converted into sensible economic and commercial strategies if firms want to stay in business. Even the most imaginative idea has to be transferred into products to be sold in the marketplace. This article presents empirical evidence from the Swedish fashion industry that shows an emphasis among industry informants on the more everyday sides of running a business as an explanation to their success. Here, creative input in for example design is a relatively accessible resource, whereas the ‘tricks of the trade’, understood as a good business sense, is harder to come by. Fashion is one of the cultural industries, and this sector is often mentioned as the forerunner in the creatively driven economy. Hence, the notable focus on the more mundane aspects of how to run a business in a supposedly creative industry like fashion is a bit unanticipated. This does not suggest that creativity is irrelevant in fashion, but rather that there is an excess of aesthetic talent and that there is a need for a holistic business approach even in the creative economy. In this article we see how fashion firms combine a business focus with an important input of creativity.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.309
Teacher spread0.256 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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