Weeding out or picking winners in open innovation? : factors driving multi-stage crowd selection on LEGO ideas
Year of publication: |
2023
|
---|---|
Authors: | Dahlander, Linus ; Beretta, Michela ; Thomas, Arne ; Kazemi, Shahab ; Fenger, Morten H. J. ; Frederiksen, Lars |
Published in: |
Research policy : policy, management and economic studies of science, technology and innovation. - Amsterdam [u.a.] : Elsevier, ISSN 0048-7333, ZDB-ID 121149-3. - Vol. 52.2023, 10, p. 1-22
|
Subject: | Crowd selection | Social influence | Abductive theorizing | Machine learning | Ideation | Crowdsourcing | Künstliche Intelligenz | Artificial intelligence | Innovationsmanagement | Innovation management | Open Innovation | Open innovation |
-
Knowledge management for open innovation : Bayesian networks through machine learning
Terán-Bustamante, Antonia, (2021)
-
An open innovative inventory management based demand forecasting approach for the steel industry
Sukolkit, Nonthaphat, (2024)
-
Crowdsourcing of inventive activities, AI, and the NIH syndrome
Burger-Helmchen, Thierry, (2024)
- More ...
-
Blinded by the person? : experimental evidence from idea evaluation
Dahlander, Linus, (2023)
-
Why and how firms implement internal crowdsourcing platforms
Beretta, Michela, (2023)
-
Online communities and open innovation : governance and symbolic value creation
Dahlander, Linus, (2011)
- More ...