A new model to optimize the knowledge exchange in industrial cluster: A case study of Semnan plaster production industrial cluster

被引:5
|
作者
Dezfoulian, H. R. [1 ]
Afrazeh, A. [1 ]
Karimi, B. [1 ]
机构
[1] Amirkabir Univ Technol, Dept Ind Engn & Management Syst, Tehran, Iran
关键词
Knowledge exchange; Optimization; Industrial cluster; New mathematical model; Organizational social; relationships; EXTERNAL KNOWLEDGE; PERFORMANCE; INNOVATION; NETWORKS; COMPETITIVENESS; PERSPECTIVE; TIES;
D O I
10.24200/sci.2017.4065
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industrial clusters bring member firms the opportunities and advantages to save resources and increase competitiveness through cooperation and joint activities. One of these opportunities is knowledge exchange, using shared resources. If cluster firms want to create knowledge directly or acquire it out of cluster, it is necessary to spend much money and time. The aim is to maximize knowledge transfer between firms of a cluster regarding the limitation of budget and time, using existing knowledge flow networks. This problem is formulated with a new model of mixed integer programming and solved by the CPLEX solver for Semnan plaster production industrial clusters. The results of sensitivity analysis show that knowledge transfer is much more influenced by budget than by time constraints. The results help cluster managers to have a better understanding, regarding the available resources and business conditions, to maximize the results obtained from knowledge transfer process in industrial cluster members. (C) 2017 Sharif University of Technology. All rights reserved.
引用
收藏
页码:834 / 846
页数:13
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