doi:

DOI: 10.3724/SP.J.1249.2018.04426

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2018/35:4 PP.426-431

User innovativeness prediction based on an involvement-emotion-cognition framework


Abstract:
With the development of the internet industry in recent years, the demand for product innovation is increasing in emerging enterprises, from large potential online users and acquiring their demand for new products is an effective way for enterprises to innovate their products. However, existing market theories and segmentation models fail to achieve such purpose. This study proposes an integrated customer segmentation framework for the prediction of innovative users based on three user innovation characteristics (i.e., involvement, emotion and cognition). Combining text mining methods, this framework is able to predict innovative users from massive online user data by calculating the users' innovation level based on extracted users' innovation features. At last, a case study with data from a well-known Chinese online user-generated-content community is conducted and verifies the effectiveness of the proposed framework.

Key words:marketing,user research,innovative users,involvement-emotion-cognition framework,keyword extraction,innovation index

ReleaseDate:2018-07-26 10:51:03



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