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Record W3022225427 · doi:10.1016/j.bushor.2006.05.005

When customers get clever: managerial approaches to dealing with creative consumers

2007· article· en· W3022225427 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli) · 2007
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Pittsburgh
KeywordsTypologyBusinessMarketingRevenueIntellectual propertyAction (physics)Value (mathematics)Business modelSociologyComputer science

Abstract

fetched live from OpenAlex

Creative consumers (defined as customers who adapt, modify, or transform a proprietary offering) represent an intriguing paradox for business. On one hand, they can signify a black hole for future revenue, with breach of copyright and intellectual property. On the other hand, they represent a gold mine of ideas and business opportunities. Central to business is the need to create and capture value, and creative consumers demand a shift in the mindsets and business models of how firms accomplish both. Based upon their attitude and action toward customer innovation, we develop a typology of firms' stances toward creative consumers. We then consider the implications of the stances model for corporate strategy and examine a three-step approach to dealing with creative consumers: awareness, analysis, and response. © 2006 Kelley School of Business, Indiana University.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.004
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.132
GPT teacher head0.315
Teacher spread0.183 · 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