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has been cited by the following article:

• TITLE: Research on User Roles Identification of Crowdsourcing Innovation Virtual Community

  AUTHORS: Qingliang Meng, Nini Sun

  KEYWORDS: Crowdsourcing Innovation, Social Network Analysis, User Roles, Identified

  JOURNAL NAME: Journal of Service Science and Management, Vol.12 No.3, April 22, 2019

  ABSTRACT: Crowdsourcing innovation is a new model for enterprises to acquire knowledge of external networks and achieve innovation objectives effectively. Its organizational form is relatively loose, the participants are free and voluntary, and come from a wide range of sources. Deeply understanding the heterogeneity and contribution behavior of crowdsourcing innovation participants is very important to crowdsourcing innovation practice. Taking the IdeaStorm crowdsourcing community as the research object, the data related to user interaction and contribution is captured. Through social network analysis combined with cluster analysis to explore the heterogeneity of user interaction behavior and contribution behavior and finally establish five different user roles, they have different importance to support the effective operation of the community. This study will be helpful to understand the crowdsourcing innovation mode and provide theoretical guidance for the effective management of crowdsourcing innovation activities in enterprise community.