Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations

Innovative activity determines the ability of an enterprise, region or country to occupy leading or profitable positions within the global economic system. To understand and interpret the situation of the country in the context of world innovative economic growth, it is necessary to develop a system...

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Autores principales: Irina Anatolyevna Razumova, Nadezhda Nikolaevna Pokrovskaya, Lilia Vilyevna Akhmerova
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RU
Publicado: North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration 2018
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Acceso en línea:https://doaj.org/article/813cd93f03664a8eb038fbdc51c1c860
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spelling oai:doaj.org-article:813cd93f03664a8eb038fbdc51c1c8602021-11-12T10:46:05ZComposition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations1726-11391816-859010.22394/1726-1139-2017-10-59-72https://doaj.org/article/813cd93f03664a8eb038fbdc51c1c8602018-04-01T00:00:00Zhttps://www.acjournal.ru/jour/article/view/674https://doaj.org/toc/1726-1139https://doaj.org/toc/1816-8590Innovative activity determines the ability of an enterprise, region or country to occupy leading or profitable positions within the global economic system. To understand and interpret the situation of the country in the context of world innovative economic growth, it is necessary to develop a system of criteria and indicators for assessing innovation activity. The definition of the criteria will allow both an assessment of the existing situation and the effectiveness of the programs being conducted, so the research main purpose is to develop a system of indicators of innovation activity and to increase the effectiveness of government programs that are aimed to support and to stimulate innovation activities at the regional and national levels. Given the complexity, diversity and versatility of innovation and of functioning of modern economy, the most effective approach to solve this problem is the use of modern technologies, in particular, artificial intelligence to solve this problem. In this regard, in this article, based on the theoretical analysis of existing approaches to the definition and evaluation of innovation activity, a structured system of characteristics of innovation activity developed for the authors to prepare machine learning and to develop a system of analysis and making decision in the innovations’ sphere is proposed. The necessity to develop the characteristics of innovation activity includes both statistical and economic characteristics, as well as wider possibilities for processing large data with the use of neural network technologies, namely, analysis of weak signals from various sources, taking into account industry specific features and analysis of the dependence of innovation activity on Demand by local, regional or national populations for innovative products and services. This determines the multidimensionality of the set of characteristics of innovation activity, which is effectively solved with the help of neural network technologies, in particular, system of analysis and making decision.Irina Anatolyevna RazumovaNadezhda Nikolaevna PokrovskayaLilia Vilyevna AkhmerovaNorth-West institute of management of the Russian Presidential Academy of National Economy and Public Administration articleinnovation activityinnovationsinventionseconomic growthstate innovation policyparametersinnovation managementPolitical institutions and public administration (General)JF20-2112ENRUУправленческое консультирование, Vol 0, Iss 10, Pp 59-72 (2018)
institution DOAJ
collection DOAJ
language EN
RU
topic innovation activity
innovations
inventions
economic growth
state innovation policy
parameters
innovation management
Political institutions and public administration (General)
JF20-2112
spellingShingle innovation activity
innovations
inventions
economic growth
state innovation policy
parameters
innovation management
Political institutions and public administration (General)
JF20-2112
Irina Anatolyevna Razumova
Nadezhda Nikolaevna Pokrovskaya
Lilia Vilyevna Akhmerova
Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations
description Innovative activity determines the ability of an enterprise, region or country to occupy leading or profitable positions within the global economic system. To understand and interpret the situation of the country in the context of world innovative economic growth, it is necessary to develop a system of criteria and indicators for assessing innovation activity. The definition of the criteria will allow both an assessment of the existing situation and the effectiveness of the programs being conducted, so the research main purpose is to develop a system of indicators of innovation activity and to increase the effectiveness of government programs that are aimed to support and to stimulate innovation activities at the regional and national levels. Given the complexity, diversity and versatility of innovation and of functioning of modern economy, the most effective approach to solve this problem is the use of modern technologies, in particular, artificial intelligence to solve this problem. In this regard, in this article, based on the theoretical analysis of existing approaches to the definition and evaluation of innovation activity, a structured system of characteristics of innovation activity developed for the authors to prepare machine learning and to develop a system of analysis and making decision in the innovations’ sphere is proposed. The necessity to develop the characteristics of innovation activity includes both statistical and economic characteristics, as well as wider possibilities for processing large data with the use of neural network technologies, namely, analysis of weak signals from various sources, taking into account industry specific features and analysis of the dependence of innovation activity on Demand by local, regional or national populations for innovative products and services. This determines the multidimensionality of the set of characteristics of innovation activity, which is effectively solved with the help of neural network technologies, in particular, system of analysis and making decision.
format article
author Irina Anatolyevna Razumova
Nadezhda Nikolaevna Pokrovskaya
Lilia Vilyevna Akhmerova
author_facet Irina Anatolyevna Razumova
Nadezhda Nikolaevna Pokrovskaya
Lilia Vilyevna Akhmerova
author_sort Irina Anatolyevna Razumova
title Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations
title_short Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations
title_full Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations
title_fullStr Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations
title_full_unstemmed Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations
title_sort composition of innovative activity’ parameters for a system of analysis and making decision in the innovations
publisher North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration
publishDate 2018
url https://doaj.org/article/813cd93f03664a8eb038fbdc51c1c860
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AT nadezhdanikolaevnapokrovskaya compositionofinnovativeactivityparametersforasystemofanalysisandmakingdecisionintheinnovations
AT liliavilyevnaakhmerova compositionofinnovativeactivityparametersforasystemofanalysisandmakingdecisionintheinnovations
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