新产品开发
鉴定(生物学)
产品(数学)
铅(地质)
计算机科学
在线和离线
协同生产
在线社区
可持续发展
透视图(图形)
数据科学
知识管理
业务
营销
万维网
人工智能
政治学
地质学
公共关系
法学
地貌学
操作系统
数学
生物
植物
几何学
作者
Jian Zhou,Guanshuang Jiang,Athanasios A. Pantelous,Ying Yu
标识
DOI:10.1109/tem.2023.3324598
摘要
Social media accelerates the interaction between customers and stakeholders. Inevitably, the construction of a sustainable online–offline value innovation ecosystem represents an opportunity but also a challenge, especially for the electronics industry with its short-life-cycle products and high development costs. In light of this trend, this article puts forward, from a lead-user-participation perspective, a systematic and intelligent method for multiple excellent participants' identification. Particularly, these very active users from the online community provide obvious merit for product innovation and development. Using data-mining techniques, this method effectively analyzes the users' online data that has been collected and creatively combines index evaluation with biclustering analysis to deal with the high-dimensional behavioral and review data of users. Thus, the matching results of various lead user groups offer good preparation for offline coproduction. As a typical online innovative platform of Xiaomi Tech, the MIUI community, is employed for the detailed illustration, which well demonstrated such an in-depth form of cooperation for fast product development and win–win co-creation in the digital era.
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