Leveraging linguistic signalling to prompt feedback in open innovation communities
Year of publication: |
2022
|
---|---|
Authors: | Hu, Suya ; Xu, Di ; Li, Yan |
Published in: |
International journal of networking and virtual organisations : IJNVO. - Geneva : Inderscience Enterprises, ISSN 1470-9503, ZDB-ID 2105494-0. - Vol. 26.2022, 4, p. 249-267
|
Subject: | feedback | signalling theory | ideas | open innovation communities | OICs | Open Innovation | Open innovation | Innovationsmanagement | Innovation management | Signalling | Social Web | Social web | Arbeitsgruppe | Team | Kommunikation | Communication |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1504/IJNVO.2022.10049462 [DOI] 10.1504/IJNVO.2022.124764 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Let the user speak : is feedback on Facebook a source of firms' innovation?
Bertschek, Irene, (2022)
-
Idea generation performance in open innovation communities : the role of user interaction
Wang, Tianmei, (2024)
-
Analysis of open innovation communities from the perspective of social network analysis
Martínez-Torres, María del Rocío, (2014)
- More ...
-
Identifying high quality ideas in the online context : evidence from a meta-analysis
Hu, Suya, (2021)
-
Identifying high quality ideas in the online context : evidence from a meta-analysis
Hu, Suya, (2023)
-
Idea response and adoption in open innovation communities : the signalling role of linguistic style
Hu, Suya, (2022)
- More ...