Knowledge Sharing in Online Communities: Learning to Cross Geographic and Hierarchical Boundaries
研究企业内部在线知识社区中，员工因偏好与相似属性者分享知识而存在地理和层级边界，但随着经验积累，他们更依赖专长相似性而非类别相似性，从而改变边界模式。
Many organizations have launched online knowledge-exchanging communities to promote knowledge sharing among their employees. We empirically examine the dynamics of knowledge sharing in an organization-hosted knowledge forum. Although previous researchers have suggested that geographic and social boundaries disappear online, we hypothesize that they remain because participants prefer to share knowledge with others who share similar attributes, as a result of the challenges involved in knowledge sharing in an online community. Further, we propose that as participants acquire experience in exchanging knowledge, they learn to rely more on expertise similarity and less on categorical similarities, such as location or hierarchical status. As a result, boundaries based on categorical attributes are expected to weaken, and boundaries based on expertise are expected to strengthen, as participants gain experience in the online community. Empirical support for this argument is obtained from analyzing a longitudinal data set of an internal online knowledge community at a large multinational information technology consulting firm.