Identifying Lead User in Mass Collaborative Innovation Community: Based on Knowledge Supernetwork
Lead users with advanced demand and innovation capability are those most valuable resources for product development and service innovation. Despite acting as the significant communication platform, the pervasive use of the Internet brings in new challenge
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Abstract. Lead users with advanced demand and innovation capability are those most valuable resources for product development and service innovation. Despite acting as the significant communication platform, the pervasive use of the Internet brings in new challenges to identify valuable users. To identify and analyze those lead users and related knowledge, this paper establishes a knowledge supernetwork model by describing the heterogeneity of agent in mass collaborative innovation community, following an example of a typical community. Based on supernetwork theory, this model has important theoretical implications in the integration of supernetwork method and knowledge management. This study also contributes to providing an insight in recognizing lead users with a visual identification method. Keywords: Lead user Knowledge supernetwork innovation community Knowledge management
Mass collaborative
1 Introduction With the arising of Web 2.0, virtual community have already penetrated into our daily life [1, 2]. Many large corporations, such as Adobe, Google, Microsoft, have begun to officially build online Mass Collaborative Innovation Community (MCIC) to absorb users’ attention and encourage mass users’ participation in the process of its product or service innovation. They ultimately commit to realize the collaborative innovation by improving information sharing through those Internet platforms [3]. A great deal of studies pointed out that online users, especially those who are the enterprise’s consumers or potential consumers with advanced demand and innovation capability, can designate the corporation’s direction to product and service innovation. For example, [39, 40] found that user innovation behavior was widespread in online innovation communities on user innovation communities. Moreover, most users in community developed new products and shared their innovation sources and results for free [4, 5]. Therefore, discerning and effectively utilizing a wealth of knowledge and experience in online innovation community are the key points to gain innovation competitive advantage for enterprises and community managers.
© Springer Nature Singapore Pte Ltd. 2016 J. Chen et al. (Eds.): KSS 2016, CCIS 660, pp. 57–67, 2016. DOI: 10.1007/978-981-10-2857-1_5
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Z. Li and H. Tang
When studying the recognition method of lead user in online community, existing studies have begun to consider user behavior, user labels, and interactive information based on traditional indexes [6–8]. However, there is a lack of efficient expression and analysis method for characterizing the total knowledge resources in innovation community, which is the indefinable and anfractuous relationships among users, posts and knowledge in community. To address such issue, this research thus paves the way for supplement of the researches in this direction. Based on supernetwork theories and methods, this paper attempts to discover the valuable users and their knowledge in MCIC with the multilayer, multilevel, multi-attribute, and multi-objective ana
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