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Identifying Influential Factors of Knowledge Sharing in Emergency Events: A Virtual Community Perspective

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  • Siqing Shan
  • Tenglong Xin
  • Li Wang
  • You Li
  • Ling Li

Abstract

Knowledge sharing on emergency events in virtual communities is a significant information source for emergency management. Based on social cognitive theory and social capital theory as well as the consideration of the characteristics of emergency events, we employ a survey questionnaire for the empirical study and adopt the two‐stage confirmatory factor analysis method to construct a structural equation model for identifying the influential factors in knowledge sharing in emergencies. Through conducting a detailed data analysis, our study reveals that that some emergency event characteristics have significant effects on both the quality and quantity of knowledge sharing. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • Siqing Shan & Tenglong Xin & Li Wang & You Li & Ling Li, 2013. "Identifying Influential Factors of Knowledge Sharing in Emergency Events: A Virtual Community Perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 367-382, May.
    • Handle: RePEc:bla:srbeha:v:30:y:2013:i:3:p:367-382
    DOI: 10.1002/sres.2181
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    References listed on IDEAS

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    Cited by:

    1. Wenan Tan & Senbo Chen & Jingxian Li & Lingxia Li & Tong Wang & Xiaoming Hu, 2014. "A Trust Evaluation Model for E‐Learning Systems," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 353-365, May.
    2. Li Da Xu, 2013. "Introduction: Systems Science in Industrial Sectors," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 211-213, May.
    3. Xiaoyu Yu & Yi. Chen & Bang Nguyen, 2014. "Knowledge Management, Learning Behavior from Failure and New Product Development in New Technology Ventures," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 405-423, May.

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