Organization Learning and Search Track: Innovating Under Constraints Within and Beyond Organizational Boundaries
Bibliographic record
Abstract
This symposium offers insights on the role of constraints in creativity and innovation processes within and beyond organizational boundaries. The presenters will share theoretical and empirical investigations of how constraints, such as time pressure, access to resources, and societal challenges affect and shape innovation processes. The research presented in this symposium will involve data collected from various research contexts, such as open innovation to solve societal problems caused by the COVID-19 pandemic in Germany and to develop medical devices to address the ventilator shortage problem around the world, teams competing in an internal innovation competition, creative teams working in the Hollywood animation industry, and creating a new culinary paradigm in fine-dining. Collectively Tackling Societal Challenges: Transcending Boundaries through Open Social Innovation Presenter: Johanna Mair; Hertie School of Governance Presenter: Thomas Karl Gegenhuber; Johannes Kepler U. Linz Presenter: Laura Thäter; Hertie School of Governance Presenter: Rene Lührsen; Hertie School of Governance Breathing Fresh Air into a Broken System: Accelerating the Innovation Process for Ventilators Presenter: Hila Lifshitz-Assaf; New York U. Presenter: Steven Randazzo; - Presenter: Olivia Jung; Emory U. A Problem Half-Solved is a Problem Well-Stated: Team Problem Discovery & Innovation Project Success Presenter: Johnathan Cromwell; U. of San Francisco Presenter: Jean-François Harvey; HEC Montreal Creative Starvation: How Resource Endowments Shape the Financial Resources-Creativity Relationship Presenter: Pier Vittorio Mannucci; Bocconi U. Pressure cooker: The role of constraints in the creation of molecular cuisine breakthroughs Presenter: Ivanka Visnjic; ESADE Business School Presenter: Sebastian Raisch; GSEM - U. of Geneva Presenter: Marcel Planellas; ESADE
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.025 | 0.026 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".