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Organizing Creativity for Innovation: Situated Practices and Process Perspectives

2021· book-chapter· en· W3195461604 on OpenAlexaff
Elke Schuessler, Silviya Svejenova, Patrick Cohendet

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsHEC Montréal
FundersFreie Universität BerlinDeutsche Forschungsgemeinschaft
KeywordsCreativitySituatedIdentity (music)The artsProcess (computing)Meaning (existential)SociologyEmpirical researchEpistemologyDynamics (music)Knowledge managementPsychologySocial psychologyPolitical scienceAestheticsPedagogyComputer science

Abstract

fetched live from OpenAlex

Abstract This volume brings together empirical and conceptual papers that investigate the challenges of organizing creativity in the innovation journey in and across different empirical contexts. Seen as the basis for innovating new products, processes or services, organizing creativity is studied as intentional efforts that occur in teams, organizations, and fields. What creativity is, how it is defined, negotiated and recognized is hereby co-constructed with different audiences and in different economic and societal spheres. The papers in this volume extend our understanding of these contextualized social dynamics of organizing creativity in four directions. The first direction sheds light on the temporal dynamics of organizing creativity in artistic fields. The second direction compares creative processes in arts and science, thereby examining tensions and uncertainties in the creative process unfolding in two distinctive contexts of creativity. The third direction examines identity struggles of creative agents in organizations with clashing roles, professional norms, and ambiguities in creativity assessment. The fourth and final direction unravels the communicative journey of ideas from pitching to feedback, revealing how ideas are challenged, enriched, and acquire meaning in communicative interaction. Overall, the papers in this volume contribute to a situated view of creative processes in innovation which goes beyond questions of idea generation to account for dynamics of idea development, judgment, and dissemination which involve identity struggles, evaluation, and communication – processes which are at the heart of organizing for innovation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.939
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.136
GPT teacher head0.438
Teacher spread0.302 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations19
Published2021
Admission routes1
Has abstractyes

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