Semantic and network evolution in crowdsourced idea refinement
Publication Type
Conference Proceeding Article
Publication Date
12-2020
Abstract
Successful ideation is a cornerstone of development. Advancements in information technology have allowed firms to harness collective intelligence through crowdsourcing ideation. New ideas often undergo iterative development and evaluation during a refinement phase, and only high-quality ideas get accepted for implementation. Therefore, our paper studies how idea refinement influences idea quality from both the content semantics and network structure perspectives, in the context of the online ideation community of TVTropes. For the content revisions of the idea, we examine the influence of semantic stability and convergence. For the network evolution of the idea, we investigate the impacts of refined network centrality and importance of bridging disconnected ideas. We find robust support that semantic convergence in idea content, along with improved network centrality and bridging importance increase idea quality in terms of votes and acceptance. Among these factors, bridging disconnected ideas has the strongest impact.
Keywords
Idea refinement, content evolution, network evolution, idea quality
Discipline
Computer Sciences
Research Areas
Information Systems and Management
Publication
Proceedings of International Conference on Information Systems 2020 (ICIS 2020) ; India, Dec 13-16, 2020.
City or Country
Virtual conference
Citation
MACK, Zhi Wei Vincent and TANG, Qian.
Semantic and network evolution in crowdsourced idea refinement. (2020). Proceedings of International Conference on Information Systems 2020 (ICIS 2020) ; India, Dec 13-16, 2020..
Available at: https://ink.library.smu.edu.sg/sis_research/6191