Paper Type
Complete
Paper Number
PACIS2025-1677
Description
Collaborative innovation communities, with their vast repositories for user innovative ideas, provide firms with rich and diverse external knowledge for open innovation. While implementing user innovative ideas is crucial for driving innovation, existing research has overlooked the impact of content and linguistic characteristics on idea implementation likelihood. Drawing upon innovation management research as well as communication and linguistic studies, this study proposes a research model that examines the effects of both content characteristics (functionality-proposing ideas vs. experience-sharing ideas) and linguistic characteristics (concreteness, readability, and socialness) on idea implementation likelihood. Through validating the research model with 43,359 user innovative ideas in the MIUI community, we uncover that functionality-proposing ideas are more likely to be implemented than experience-sharing ideas. Furthermore, both idea readability and socialness positively moderate this relationship. This study contributes to the growing open innovation literature and provides practical implications to both idea contributors and organizations hosting collaborative innovation communities.
Recommended Citation
Tan, Dilang; Liu, Libo; Chang, Shanton; and Cui, Tingru, "More than the Content Itself: Understanding the Impact of Content Characteristics and Linguistic Styles on Idea Implementation in Collaborative Innovation Communities" (2025). PACIS 2025 Proceedings. 9.
https://aisel.aisnet.org/pacis2025/dig_plat/di/9
More than the Content Itself: Understanding the Impact of Content Characteristics and Linguistic Styles on Idea Implementation in Collaborative Innovation Communities
Collaborative innovation communities, with their vast repositories for user innovative ideas, provide firms with rich and diverse external knowledge for open innovation. While implementing user innovative ideas is crucial for driving innovation, existing research has overlooked the impact of content and linguistic characteristics on idea implementation likelihood. Drawing upon innovation management research as well as communication and linguistic studies, this study proposes a research model that examines the effects of both content characteristics (functionality-proposing ideas vs. experience-sharing ideas) and linguistic characteristics (concreteness, readability, and socialness) on idea implementation likelihood. Through validating the research model with 43,359 user innovative ideas in the MIUI community, we uncover that functionality-proposing ideas are more likely to be implemented than experience-sharing ideas. Furthermore, both idea readability and socialness positively moderate this relationship. This study contributes to the growing open innovation literature and provides practical implications to both idea contributors and organizations hosting collaborative innovation communities.
Comments
Platform