AN ANP/DNP ANALYSIS OF ECONOMIC ELEMENTS IN TODAYS WORLD NETWORK ECONOMY

The network economy is a term for today's global relationship among economic elements characterized by massive connectivity. The central act of the new era is to connect everything to everything in deep web networks at many levels of mutually interdependent relations, where resources and activities are shared, markets are enlarged and costs and risk are reduced. Network systems contain both positive and negative feedback. A variety of feedback processes create complex system behavior.For such a network the Analytic Network Process (ANP) approach seems to be very appropriate. The ANP method makes it possible to deal systematically with all kinds of dependence and feedback in the system. Dynamic models try to reflect changes in real or simulated time and take into account that the network model components are constantly evolving. Dynamic models use concepts of state variables,flows, and feedback processes. The Dynamic Network Process (DNP) is anextension of ANP that can deal with time dependent priorities in a networked economy.

作 者： Petr FIALA   作者單位： Department of Econometrics, University of Economics, Prague, The Czech Republic  刊 名： 系統(tǒng)科學(xué)與系統(tǒng)工程學(xué)報(bào)（英文版）  英文刊名： JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING  年，卷(期)： 2006 15(2)  分類號(hào)： G0  關(guān)鍵詞： Network economy   positive feedback   complementarity   Analytic Network Process   Dynamic Network Process  

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