• DocumentCode
    727699
  • Title

    Identification of key user knowledge source in crowdsourcing innovation mode

  • Author

    Qingliang Meng ; Xinxin Guo

  • Author_Institution
    Sch. of Econ. & Manage., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
  • fYear
    2015
  • fDate
    22-24 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Effective identification of key user knowledge sources which are able to match with the innovation task of the enterprise can reduce the cost of enterprise search and evaluation, enhance the participation willingness, and promote innovation performance in crowdsourcing innovation mode. Based on the bilateral perspective of both enterprises and users, the present paper proposes the framework to identify the key user knowledge sources from three aspects of the user knowledge value, the willingness of knowledge exchange and the absorptive capability of the enterprise. The key user knowledge sources identification system constructed by the paper is scientific, reasonable and practical, which is proved by the empirical research by using gray relational analysis.
  • Keywords
    grey systems; innovation management; knowledge management; absorptive capability; bilateral perspective; crowdsourcing innovation mode; enterprise evaluation cost reduction; enterprise search cost reduction; gray relational analysis; innovation performance; innovation task; key user knowledge source identification; knowledge exchange; participation willingness; user knowledge value; Communities; Companies; Correlation; Crowdsourcing; History; Indexes; Technological innovation; Crowdsourcing innovation; bilateral perspective; grey relational analysis; identification of key user knowledge source;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2015 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4799-8327-8
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2015.7170263
  • Filename
    7170263