文献类型：会议论文

英文题名：Game Analysis on the Lower Bound of Optimal Interval of Knowledge Heterogeneity in Virtual Practice Community

作者：Liu, Jing[1];Ma, Yanyang[1];Guo, Yanli[1];Chen, Jianbin[1]

通讯作者：Chen, JB[1]

机构：[1]Beijing Union Univ, Dept E Business, Beijing, Peoples R China

第一机构：北京联合大学管理学院信息管理与电子商务系

通讯机构：[1]corresponding author), Beijing Union Univ, Dept E Business, Beijing, Peoples R China.|[11417161]北京联合大学管理学院信息管理与电子商务系;[11417]北京联合大学;[1141755]管理学院;

会议论文集：International Conference on Logistics, Informatics and Service Sciences (LISS)

会议日期：JUL 24-27, 2016

会议地点：Beijing Jiaotong Univ, Int Ctr Informat Res, Sydney, AUSTRALIA

主办单位：Beijing Jiaotong Univ, Int Ctr Informat Res

语种：英文

外文关键词：knowledge heterogeneity; two-period reputation model; game analysis; optimal interval

摘要：Knowledge Heterogeneity is the source of Knowledge Collaboration in Enterprise while the Virtual Practice Community constructed with Web 2.0 technology is a very important way to gain heterogeneous knowledge. Active Cross-border Innovation makes the virtual practice community to be heterogeneous knowledge preference nowadays. However, the appropriate degree of knowledge heterogeneity that can excite the community to be synergy equilibrium is difficult to seek. This paper studies on the signaling game analysis of knowledge heterogeneity in Virtual Practice Community based on two-period reputation model. We mainly analyze the lower bound of optimal interval of knowledge heterogeneity to reveal the management meaning of this optimal interval.