AI-based novelty detection in crowdsourced idea spaces
Julian Just, Thomas Ströhle, Johann Füller and Katja Hutter
| Year of publication: |
2024
|
|---|---|
| Authors: | Just, Julian ; Ströhle, Thomas ; Füller, Johann ; Hutter, Katja |
| Published in: |
Innovation: organization & management : IOM. - Abingdon, Oxon : Routledge, Taylor & Francis, ISSN 2204-0226, ZDB-ID 2180355-9. - Vol. 26.2024, 3, p. 359-386
|
| Subject: | AI-based innovation management | Crowdsourcing | idea evaluation | idea space | language model | novelty detection | text embedding | Innovationsmanagement | Innovation management | Innovation | Kreativität | Creativity |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/14479338.2023.2215740 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015048855