User innovation community is an important source for enterprises to obtain originality and relevant product information. In user innovation communities, users are the creators and participators of content and also the providers of wisdom. Classifying the type of users would help people play a more positive role in the open knowledge communities, and improve the innovation, sharing of knowledge and generation of wisdom more preferably. In order to help enterprises to successfully manage the community’s users, HUAWEI cellphone community is taken as an example to explore different contributions of online users with district behavior characteristics. The user samples are classified by these four indicators to build a matrix classification model of users such as creation number, knowledge degree, in-degree centrality and out-degree centrality with K-means clustering. And it further draws six different types of user roles, including core users, active contributors, passive contributors, social users, information acquiring users and divers. It also provides management strategies for enterprises to classify and manage different types of users when operating user innovation communities.
Timko, O. and Dong, J.Q. (2017) Stimulating Innovation by User Feedback on Social Media: The Case of an Online User Innovation Community. Technological Forecasting & Social Change, 7, 10-17.
Von Hippel, E. (2009) Democratizing Innovation: The Evolving Phenomenon of User Innovation. International Journal of Innovation Science, 1, 29-40. https://doi.org/10.1260/175722209787951224
Zwass, V. (2010) Co-Creation: Toward a Taxonomy and an Integrated Research Perspective. International Journal of Electronic Commerce, 15, 11-48. https://doi.org/10.2753/JEC1086-4415150101
Lilien, G.L., Morrison, P.D., Searls, K., Sonnack, M. and von Hippel, E. (2002) Performance Assessment of the Lead User Idea-Generation Process for New Product Development. Management Science, 48, 1042-1059. https://doi.org/10.1287/mnsc.48.8.1042.171
Von Hippel, E. (2005) Democratizing Innovation. MIT Press, Cambridge. https://doi.org/10.7551/mitpress/2333.001.0001
Laverty, C.Y.C. (1996) Internet Primer: Workshop Design and Objectives. Internet Reference Services Quarterly, 1, 35-53. https://doi.org/10.1300/J136v01n03_05
Zhan, J., Loh, H.T. and Liu, Y. (2009) Gather Customer Concerns from Online Product Reviews—A Text Summarization Approach. Expert Systems with Applications, 36, 2107-2115. https://doi.org/10.1016/j.eswa.2007.12.039
Fara, J.S., Jarvenpaa, S. and Majchzak, A. (2011) Knowledge Collaboration in Online Communities. Organization Science, 22, 1224-1239. https://doi.org/10.1287/orsc.1100.0614
Shen, B. and Hu, Y.F. (2018) Research on User Classification of Virtual Brand Community Based on User Behavior Characteristics. Information Exploration, 7, 12-18.
Guo, W., Zheng, Q. and An, W.J. (2017) User Roles and Contributions during the New Product Development Process in Collaborative Innovation Communities. Applied Ergonomics, 63, 106-114. https://doi.org/10.1016/j.apergo.2017.04.013
Qi, G.J. and Li, Y.Y. (2016) Research on the Contribution Degree of Online Users in Enterprise Open Innovation Community. Scientific and Technological Progress and Countermeasures, 33, 81-87.
Füller, J., Hutter, K., Hautz, J., et al. (2014) User Roles and Contributions in Innovation-Contest Communities. Journal of Management Information Systems, 31, 273-307. https://doi.org/10.2753/MIS0742-1222310111
Flore, B., Francoise, D. and Burkhardt, J.M. (2014) A Situated Approach of Roles and Participation in Open Source Software Communities. Human-Computer Interaction, 29, 205-255. https://doi.org/10.1080/07370024.2013.812409
Zhang, M., Tang, G.Q. and Zhang, L. (2016) Research on the Influencing Factors of User Knowledge Contribution Behavior in Online Social Learning. Information Journal, 35, 146-152.
Khansa, L., Ma, X. and Liginlal, D. (2015) Understanding Members’ Active Participation in Online Question-and-Answer Communities: A Theory and Empirical Analysis. Journal of Management Information Systems, 32, 162-203. https://doi.org/10.1080/07421222.2015.1063293
Qin, M., Qiao, H. and Chen, L.H. (2015) Research on the Contribution Behavior of Online Users in Enterprise Open Innovation Community Based on CAS Theory: A Case Study of Domestic Well-Known Enterprise Community. Management Review, 27, 126-137.
Jeppesen, L.B. and Laursen, K. (2009) The Role of Lead Users in Knowledge Sharing. Research Policy, 38, 1582-1589. https://doi.org/10.1016/j.respol.2009.09.002
Frey, K., Lüthje, C. and Haag, S. (2011) Whom Should Firms Attract to Open Innovation Platforms? The Role of Knowledge Diversity and Motivation. Long Range Planning, 44, 397-420. https://doi.org/10.1016/j.lrp.2011.09.006
Wang, L., Ma, L.J., Peng, W., Zheng, Q., Guo, W., et al. (2018) Innovation Community User Innovation Ability Analysis. Science and Technology Progress and Policy, 9, 42-47.
Hedberg, H. and Iivari, N. (2009) Integrating HCI Specialists into Open Source Software Development Projects. IFIP International Conference on Open Source Systems, Skövde, 3-6 June 2009, 251-263. https://doi.org/10.1007/978-3-642-02032-2_22
Bach, P.M. and Twidale, M. (2010) Social Participation in Open Source: What It Means for Designers. Interaction, 17, 70-74. https://doi.org/10.1145/1744161.1744177
Barcellini, F., Prost, L. and Cerf, M. (2015) Designers’ and Users’ Roles in Participatory Design: What Is Actually Co-Designed by Participants? Applied Ergonomics, 50, 31-40. https://doi.org/10.1016/j.apergo.2015.02.005
Bayus, B.L. (2013) Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community. Management Science, 59, 226-244. https://doi.org/10.1287/mnsc.1120.1599
Arazy, O. and Nov, O. (2010) Determinants of Wikipedia Quality: The Roles of Global and Local Contribution Inequality. The 2010 ACM Conference on Computer Supported Cooperative Work, Savannah, 6-10 February 2010, 233-236. https://doi.org/10.1145/1718918.1718963
Romero, D. and Molina, A. (2011) Collaborative Networked Organisations and Customer Communities: Value Co-Creation and Co-Innovation in the Networking Era. Production Planning Control, 22, 447-472. https://doi.org/10.1080/09537287.2010.536619
Borgatti, S.P., Mehra, A., Brass, D.J. and Labianca, G. (2009) Network Analysis in the Social Sciences. Science, 323, 892-895. https://doi.org/10.1126/science.1165821
Fuge, M., Tee, K., Agogino, A. and Maton, N. (2014) Analysis of Collaborative Design Networks: A Case Study of Open Ideo. Computer Information Science, 14, 21-39. https://doi.org/10.1115/1.4026510
Toral, S.L., Martínez-Torres, M.R. and Barrero, F. (2010) Analysis of Virtual Communities Supporting OSS Projects Using Social Network Analysis. Information Software Technology, 52, 296-303. https://doi.org/10.1016/j.infsof.2009.10.007
Eisenhardt, K.M. (1989) Building Theories from Case Study Research. Academic Management Review, 14, 532-550. https://doi.org/10.5465/amr.1989.4308385
Faust, K. and Wasserman, S. (1992) Centrality and Prestige: A Review and Synthesis. Journal of Quantitative Anthropology, 4, 23-78.
Milligan, G.W. and Cooper, C. (1985) An Examination of Procedures for Determining the Number of Clusters in a Data Set. Psychometrica, 50, 159-179. https://doi.org/10.1007/BF02294245
Sonnenwald, D.H. (1996) Communication Roles That Support Collaboration during the Design Process. Design Studies, 17, 277-301. https://doi.org/10.1016/0142-694X(96)00002-6
Füller, J., Jawecki, G. and Mühlbacher, H. (2007) Innovation Creation by Online Basketball Communities. Business Research, 60, 60-71. https://doi.org/10.1016/j.jbusres.2006.09.019
Füller, J. (2010) Refining Virtual Co-Creation from a Consumer Perspective. California Management Review, 52, 98-122. https://doi.org/10.1525/cmr.2010.52.2.98