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2019 | OriginalPaper | Chapter

Computer Support for Decision-Making on Defining the Strategy of Green IT Development at the State Level

Authors : Igor Shostak, Igor Matyushenko, Yuri Romanenkov, Mariia Danova, Yuliia Kuznetsova

Published in: Green IT Engineering: Social, Business and Industrial Applications

Publisher: Springer International Publishing

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Abstract

It is shown that in the conditions of the fourth industrial revolution and the formation of sixth technological order, Green IT technologies form one of the stable trend because they are classified as breakthrough technologies. The paper presents a complex estimation method of innovative potential of the national economy in order to determine the prospects of Green IT technology development. Methodological basis of the method is cluster analysis. As an example, the estimation of the innovation potential of Ukraine in the aspect of Green IT development is considered. Data analysis used for predicting the development of Green IT technologies on dynamic time series. As a predictive model is used Brown model and special structural parametric synthesis method that implements identification a time series by preliminary analysis and processing of initial data, identify the trend and formation the interval estimates. The results of forecasting are supposed to be used, along with other initial data, for foresight research on the definition of Green IT perspective directions development. A generalized structure of interactive decision support system for the development of Green IT at the state level is presented. In the future, it is supposed to create a generalized methodology of forecasting not only Green IT, but also other advanced technologies in countries with different levels of economic development.

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Metadata
Title
Computer Support for Decision-Making on Defining the Strategy of Green IT Development at the State Level
Authors
Igor Shostak
Igor Matyushenko
Yuri Romanenkov
Mariia Danova
Yuliia Kuznetsova
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-00253-4_23

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