Can AI help in ideation? : a theory-based model for idea screening in crowdsourcing contests
J. Jason Bell, Christian Pescher, Gerard J. Tellis, Johann Füller
| Year of publication: |
2024
|
|---|---|
| Authors: | Bell, J. Jason ; Pescher, Christian ; Tellis, Gerard J. ; Füller, Johann |
| Published in: |
Marketing science. - Baltimore, Md. : INFORMS, ISSN 1526-548X, ZDB-ID 2023536-7. - Vol. 43.2024, 1, p. 54-72
|
| Subject: | AI | creativity | crowdsourcing | ideation | LASSO | natural language processing | prototypicality | random forest | RuleFit | word atypicality | Kreativität | Creativity | Crowdsourcing | Innovationsmanagement | Innovation management | Vorschlagswesen | Employee suggestion system |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mksc.2023.1434 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014470120