Complex Network Analysis for Knowledge Management and Organizational Intelligence

被引:41
作者
Dana, Josef [1 ]
Caputo, Francesco [2 ]
Racek, Jaroslav [1 ]
机构
[1] Masaryk Univ, Dept Comp Syst & Commun, Fac Informat, Bot 68a, Brno, Czech Republic
[2] Univ Salerno, Dept Pharm, Via Giovanni Paolo II, Fisciano, Italy
关键词
Social network analysis; Complex networks; Network science; Knowledge management; Knowledge flow; Organizational intelligence; RESEARCH-AND-DEVELOPMENT; SOCIAL NETWORK; STRUCTURAL HOLES; PERFORMANCE; INNOVATION; DIFFUSION; SYSTEMS; MEDIA;
D O I
10.1007/s13132-018-0553-x
中图分类号
F [经济];
学科分类号
02 ;
摘要
The scope and focus of knowledge management has changed multiple times over the last decades, each shift revealing new challenges to management science. Recent change of perspective drawing from systems thinking is suggesting that knowledge is created through interaction between people. Complex network analysis is a rigorous method that can be used for evaluation of interaction patterns between employees. The literature suggests that specific interaction patterns are related to increased knowledge flow, innovativeness, and performance. Aim of this paper is to provide an overview of various approaches utilizing the complex network analysis in organizations and present suggestions that might support managerial decision-making processes related to knowledge management and organizational intelligence.
引用
收藏
页码:405 / 424
页数:20
相关论文
共 67 条
[1]   Collaboration networks, structural holes, and innovation: A longitudinal study [J].
Ahuja, G .
ADMINISTRATIVE SCIENCE QUARTERLY, 2000, 45 (03) :425-455
[2]   Formal versus informal knowledge networks in R&D: a case study using social network analysis [J].
Allen, James ;
James, Andrew D. ;
Gamlen, Phil .
R & D MANAGEMENT, 2007, 37 (03) :179-196
[3]  
[Anonymous], SOCIAL DYNAMICS SYST
[4]  
[Anonymous], SOCIAL DYNAMICS SYST
[5]  
[Anonymous], 2015, Doing Social Network Research: Network-Based Research Design for Social Scientists
[6]  
Arrow KJ., 1974, LIMITS ORG
[7]  
Banerjee S, 2013, ADV BUS STRATEGY COM, P1, DOI 10.4018/978-1-4666-2509-9
[8]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[9]  
Barab��si A-L., 2016, Network science
[10]  
Barile S., 2015, 3 INT S ADV BUS MAN