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An Empirical Study of What Drives Users to Share Knowledge in Virtual Communities

  • Shun Ye
  • Huaping Chen
  • Xiaoling Jin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4092)

Abstract

This paper proposes and tests a new model that helps explain knowledge contribution in virtual communities. Grounded on a communication-based view, we examined key drivers of user intention to share knowledge in virtual communities from three aspects: the knowledge to be shared, the individual self and the environment. In particular, a self-concept-based motivation model was employed to investigate individuals’ motivational factors. An empirical study of 363 virtual community users demonstrated the salient and dominant influences of enhanced knowledge self-efficacy and self-image on knowledge contribution intention. Enjoyment in helping others, trust and system usability were also found to be important motivations for knowledge sharing. Implications for both researchers and practitioners are discussed.

Keywords

Social Capital Partial Little Square Knowledge Transfer Knowledge Sharing Internal Consistency Reliability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shun Ye
    • 1
  • Huaping Chen
    • 1
  • Xiaoling Jin
    • 2
  1. 1.School of ManagementUniversity of Science and Technology of ChinaHefeiChina
  2. 2.Department of Information SystemsUSTC-CityU Joint Advanced Study InstituteDushu LakeChina

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