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中国管理科学 ›› 2012, Vol. 20 ›› Issue (6): 185-192.

• 论文 • 上一篇    

线上线下互动、群体分化与知识共享的关系研究——基于虚拟社区的实证分析

周军杰1, 左美云2   

  1. 1. 中国人民大学商学院,北京 100872;
    2. 中国人民大学信息学院,北京 100872
  • 收稿日期:2011-06-21 修回日期:2012-06-26 出版日期:2012-12-29 发布日期:2012-12-28
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(10XNJ065);国家自然科学基金资助项目(70971130);新世纪优秀人才支持计划资助项目(NCET-10-0810);北京市自然科学基金项目(9112009);中国人民大学研究生科研基金资助项目(11XNH163)

Research on the Relationship Among the Online/Offline Interaction、Group Differentiation and Knowledge Sharing: An Empirical Analysis Based on Virtual Community

ZHOU Jun-jie1, ZUO Mei-yun2   

  1. 1. School of Business,Renmin University of China, Beijing 100872,China;
    2. School of Information,Renmin University of China,Beijing 100872,China
  • Received:2011-06-21 Revised:2012-06-26 Online:2012-12-29 Published:2012-12-28

摘要: 线上线下互动是随着互联网和虚拟社区发展而出现的新现象,伴随着社区会员的线上线下互动,虚拟社区内部出现了群体分化。以社会认同理论和社会网络理论为基础,本文对线上线下互动中会员关系的变化及其对知识共享的影响进行了研究,构建了相应的假设模型和测量量表,并对线上互动、群体分化等构念进行了解构。以287份有效问卷为基础,对提出的假设模型进行了验证。发现频繁的线上互动会引起社区会员的群体分化,频繁的线下互动会进一步促进社区内部的分化,而群体分化对虚拟社区知识共享具有正向的促进作用。群体分化的引入和相关量表的开发,丰富了在线知识管理理论,对虚拟社区的管理及其利用有一定的实践意义。

关键词: 线上互动, 线下互动, 群体分化, 知识管理, 虚拟社区

Abstract: Online interaction and offline interaction are new phenomena along with the development of internet and virtual community, which lead to group differentiation in virtual community. Based on the theories of social identity and social networks, the change of memberships among virtual community members and its effect on knowledge sharing are analyzed, and a model on online interaction,offline interaction,group differentiation and knowledge sharing are proposed. Then the model is tested by data collected from pinggu.org. It is found that high frequently online interaction will lead to group differentiation among members in virtual community, high frequently offline interaction will reinforce the group differentiation in virtual community, and group differentiation could facilitate knowledge sharing among members in community. Group differentiation is reconstructed into six items and a scale is developed for testing online interaction and offline interaction, which will benefit the perfectness of online knowledge management and also have insight in the operation and usage of virtual community.

Key words: online interaction, offline interaction, group differentiation, knowledge management, virtual community

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