基于Brusselator模型的企业网络管理熵研究

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Abstract Enterprise network has become the objective existence form of enterprise nowadays. With the changes in the environment the uncertainty enterprises face increase day by day. Management entropy is the effective measurement means of uncertainty in enterprise network. Based on the research in sociology and management, the evaluation system of management entropy is built, the related variables of network management entropy are identified, and the calculation process is carried out. Based on the above, the pass judgment of dissipative structure of enterprise network be conducted with the Brusselator Model, which benefits the optimization of enterprise network. Finally, some tourism enterprise is taken as the research object, the initial data is obtained through questionnaires, the empirical analysis of enterprise network management entropy is done based on the Brusselator Model. The case study has confirmed the feasibility of the logic ideas.

Key words： Enterprise network management entropy Brusselator Model dissipative structure evaluation system

Received: 21 October 2013 Published: 15 January 2014

Corresponding Authors: LV Fuxin E-mail: fxlv@yahoo.com.cn

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	YU Yong-Hai
	LV Fu-Xin
	TANG Chun-Hui

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YU Yong-Hai,LV Fu-Xin,TANG Chun-Hui. The Management Entropy Research of Enterprise Network Based on Brusselator Model[J]. , 2014, (1): 34-41.

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http://zzs.zjgsu.edu.cn/gl/EN/ OR http://zzs.zjgsu.edu.cn/gl/EN/Y2014/V/I1/34

[1]	FRIEDRICH WAGNER,MISHAEL MILAKOVIC,SIMONE ALFARANO.Firm profitability and the network of organizational capabilities[J].Physica A: Statistical Mechanics and its Applications,2010,389（21）:4769-4775
[2]	UWE CANTNER,KRISTIN JOEL.Network Position, Absorptive Capacity and Firm Success [J],The IUP Journal of Knowledge Management, 2011，9（1）:57—83
[3]	CHYAN YANG,HSIAN MING LIU,BOOSTING.firm performance via enterprise agility and network structure[J].Management Decision,2012,50（6）:1022-1044
	[4]
[14]	邱菀华.管理决策熵学及其应用[M].中国电力出版社，2011年1月，P121-123，P169-170
[5]	张继国，Vijay P.Singh.信息熵——理论与应用[M],中国水利水电出版社，2012年8月，P20
[6]	何天祥.企业管理结构复杂度评价的新方法—熵正交投影法[J]，系统工程理论与实践，2005 （4）：115-119
[7]	钟昌宝，魏晓平，聂茂林，姜殿玉. 一种考虑风险的供应链利益两阶段分配法——正交投影熵值法[J]，中国管理科学，2010（2）：68-74
[8]	YUAN LIN,KEVIN C.DESOUZA SUMIT ROY.Measuring agility of networked organizational structures via network entropy and mutual informationApplied Mathematics and Computation，Volume 216, Issue 10, 2010, 2824-2836
	[9]
[11]	张铁男，程宝元，张亚娟. 基于耗散结构的企业管理熵Brusselator 模型研究[J]，管理工程学报，2010，24（3）：103-108
[10]	任佩瑜，张莉，宋勇. 基于复杂性科学的管理熵、管理耗散结构理论及其在企业组织与决策中的作用[J].管理世界.2001(6) : 142-147.
[12]	PRIGOGINE I,ALLEN PM.The Challenge of Complexity,See,Self-Organization and Dissipative Structures [A],In: edited by Schieve WC,Allen PM. Complexity and Management[C].Austin: University of Texas Press,1982,125—167.
[13]	GALASKIEWIEZ.J. ,ZAHEER,A.NetworksofeomPetitveadvantage[A].Andrews,S.&Knoke,D.Researehinthesoeiologyoforganizations[C].Greenwieh,CT:JAIPress,1999,P237—261.