管理工程学报2018，Vol.32Issue(1)：84-92,9.DOI:10.13587/j.cnki.jieem.2018.01.011
知识交流深度与广度的匹配对知识网络交流效率的影响:基于整体知识网络结构特征的分析
An influence of the matching between the breadth and the depth knowledge exchange on the knowledge networks efficiency: the analysis based on the whole structure characteristics of knowledge network
摘要
Abstract
Managerial activities consist of different forms of knowledge exchange between employees in the knowledge network.Enterprises consider the knowledge networks between employees as the most important resource of enterprise knowledge management.However,most enterprises focus on individual level instead of knowledge network level.Because employees are members of the knowledge network,improving the knowledge exchange capacity of the whole knowledge network is more important.Researchers have also explored how to improve the communication efficiency of knowledge network.They recognize the important purpose of establishing cooperation between the members of organization knowledge network is to improve knowledge flow and knowledge sharing activities between employees,and analyze separately the impact factors of knowledge exchange in organizational knowledge network from three aspects,including knowledge characteristics,organizational characteristics and network characteristics.However,very few researches have focused on knowledge network communication involving the breath of knowledge transfer(the frequency which knowledge agents can communicate with other knowledge agents) and the depth of knowledge transfer (the total amount of knowledge which knowledge agents can exchange with other knowledge agents).This paper will consider the breadth and depth of knowledge exchange,use the dynamic simulation method,analyze the effect of breadth and depth of different knowledge exchanges on knowledge network flow efficiency,and explain the causes of the effects based on social network theory.The conclusion will provide new ideas for the academic to analyze how to improve the exchange efficiency of knowledge network from knowledge network breadth and depth,and provide theoretical basis and practical guidance for management practice.In our study,we build a multi-agent simulation model based on theoretical analysis,and simulate the efficiency of knowledge flow and knowledge networks with different network depth and width.We found that the total amount of knowledge generated from team learning and organizational learning will continue to increase and become gradually flat.The total knowledge amount of wide communication and the status quo will appear in a declining trend.Secondly,the total amount of knowledge exchanged from high to low are in the following order:team-based learning knowledge network,organization learning knowledge network,wide communication knowledge network,and the status quo knowledge network.Knowledge variance from high to low is in the following order:team learning knowledge network,organization learning knowledge network,the status quo knowledge network,and wide communication knowledge network.Thus,we analyze the characteristics of knowledge networks and explain the reason of team learning knowledge network with low network communication width and high network depth.One major theoretical implication is that team learning knowledge exchange network with low breadth and high depth has the highest efficiency.This finding helps address issues related to previous studies that analyze knowledge exchange network efficiency from the match between the breadth and the depth.In addition,multi-agent simulation methods used in this study solve issues of the previous study that show a static perspective but can not simulate the evolution of overall knowledge networks and the interaction between knowledge network agents.Moreover,this study interprets the efficiency of different knowledge networks from the social network perspective based on overall knowledge network characteristics.In a practical sense,the conclusions will also help managers consider how to improve knowledge network efficiency from knowledge exchange depth and breadth.For enterprises,blindly increasing the breadth of knowledge exchange is not the best choice.Appropriate knowledge exchange width will be more beneficial to the spread of tacit knowledge.Therefore,companies facing the competitive environment should strive to create a team learning knowledge network in an organization in order to improve the efficiency of knowledge exchange,which will provide a better environment for the exchanges of explicit knowledge and tacit knowledge.Most importantly,team learning knowledge network can help enterprises achieve organizational goals and adapt to competition.关键词
知识交流广度/知识交流深度/知识网络交流效率/多主体仿真Key words
The breath of knowledge transfer/The depth of knowledge transfer/Knowledge network efficiency/Multi-agent simulation分类
管理科学引用本文复制引用
吕鸿江,程明,吴利华..知识交流深度与广度的匹配对知识网络交流效率的影响:基于整体知识网络结构特征的分析[J].管理工程学报,2018,32(1):84-92,9.基金项目
国家自然科学基金资助项目(71102031、71472036、71372196) （71102031、71472036、71372196）
中央高校基本科研业务费专项资金-东南大学优秀青年教师教学科研资助计划资助项目(3214003203) （3214003203）
南京农业大学人文社会科学研究基金资助项目(SK08025) （SK08025）
