Identification of the unique attributes and topics within smart things open innovation communities
Year of publication: |
2019
|
---|---|
Authors: | Olmedilla, M. ; Send, H. ; Toral, S. L. |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 146.2019, p. 133-147
|
Subject: | Co-occurrence analysis | Open communities | Open innovation | Text mining | Unique attributes | Unique innovations | Innovationsmanagement | Innovation management | Open Innovation | Social Web | Social web | Text |
-
Management response and user idea generation : evidence from an online open innovation community
Han, Dongmei, (2023)
-
Innovation and SDGs through social media analysis : messages from FinTech firms
Franco-Riquelme, José Nicanor, (2021)
-
User engagement in healthcare living labs : a scoping review
Cyr, Genevieve, (2022)
- More ...
-
Teso, E., (2018)
-
Identifying the features of reputable users in eWOM communities by using Particle Swarm Optimization
Martínez-Torres, María del Rocío, (2018)
-
Olmedilla, M., (2016)
- More ...