Abstract
Summary: The network economy is a term for today’s global relationship among economic subjects 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 feedbacks. A variety of feedback processes create complex system behavior. For the whole network seems to be very appropriate Analytic Network Process (ANP) approach. The ANP method makes 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. Dynamic Network process (DNP) as an extension of ANP can deal with time dependent priorities in network economy. Network economy drives and is driven by dramatic acceleration in technological innovation, in information and communication technologies especially. New technologies provide a permanent feedback that enables activity modifications and quick responses and therefore fundamentally change business models. The analysis of possible effects of network economy is an opportune topic for challenging scientific research. Business process modeling is a using of models and methods for understanding and change of the processes in relation to information systems of firms. The relation between business models and information systems becomes more and more tighter. Using technology to connect ever more closely with network users creates “connectivity paradox” in which new realms of opportunity coexist with new forms of risk. Applications of the network problems are found in transportation, telecommunications, network reliability settings, finance, knowledge and other applications. The unifying concept of global networks with associated methodologies allows to explore the interactions among such networks as transportation networks, telecommunication networks, as well as financial networks. The basic problems and their solutions can be combined for more complex situations with multiple decision-makers and multiple criteria. The main aim of the paper is to propose a methodological framework for analyzing network economy. Many specific factors of the network economy can be modeled and analyzed by ANP/DNP methods. Some specific features as network externalities, complementarities, supplier selection problem are analyzed by ANP/DNP methods and combined in a general model of network economy.
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