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Innovation management of regional economics (in terms of economic indicators of Saint Petersburg). / Samoylov, Alexander; Abannikov, Victor; Zhulega, Irina; Budagov, Artur.

в: E3S Web of Conferences, Том 157, 04016, 20.03.2020.

Результаты исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференцииРецензирование

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Samoylov, Alexander ; Abannikov, Victor ; Zhulega, Irina ; Budagov, Artur. / Innovation management of regional economics (in terms of economic indicators of Saint Petersburg). в: E3S Web of Conferences. 2020 ; Том 157.

BibTeX

@article{15a27c153aeb4e23b02e53336ba1b5a6,
title = "Innovation management of regional economics (in terms of economic indicators of Saint Petersburg)",
abstract = "This article is dedicated to the research of innovation processes at the regional level. There patterns of innovation processes and innovation activity applying modern management approach are considered. There dynamics analysis of such regional innovation activity indicators as number of organizations that perform the research; technology innovations cost; research and development inner cost; investment in equity; volume shipped innovation products is made based on statistic data. As an example of nature of the impact of these indicators to innovation environment of the region, the authors used the economic data of Saint Petersburg city. Additionally, there dynamics of analysing indicators is established, the reasons of their increase and decrease in the various time periods under the influence of political and external-economic factors is detected. In summary, the conclusion on current intensification of innovation processes in Saint Petersburg that reflects on both innovation activity data and territorial infrastructure, is made. The common tendency to increase the region innovation activity exists, despite the decrease of the number of organisations that perform researches and developments. These findings, achieved based on completed research, can be used to forecast the region innovation activity level, as well as for optimization of innovative activity indicators of the companies.",
author = "Alexander Samoylov and Victor Abannikov and Irina Zhulega and Artur Budagov",
note = "Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences.; 2019 Key Trends in Transportation Innovation, KTTI 2019 ; Conference date: 24-10-2019 Through 26-10-2019",
year = "2020",
month = mar,
day = "20",
doi = "10.1051/e3sconf/202015704016",
language = "English",
volume = "157",
journal = "E3S Web of Conferences",
issn = "2555-0403",
publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - Innovation management of regional economics (in terms of economic indicators of Saint Petersburg)

AU - Samoylov, Alexander

AU - Abannikov, Victor

AU - Zhulega, Irina

AU - Budagov, Artur

N1 - Publisher Copyright: © The Authors, published by EDP Sciences.

PY - 2020/3/20

Y1 - 2020/3/20

N2 - This article is dedicated to the research of innovation processes at the regional level. There patterns of innovation processes and innovation activity applying modern management approach are considered. There dynamics analysis of such regional innovation activity indicators as number of organizations that perform the research; technology innovations cost; research and development inner cost; investment in equity; volume shipped innovation products is made based on statistic data. As an example of nature of the impact of these indicators to innovation environment of the region, the authors used the economic data of Saint Petersburg city. Additionally, there dynamics of analysing indicators is established, the reasons of their increase and decrease in the various time periods under the influence of political and external-economic factors is detected. In summary, the conclusion on current intensification of innovation processes in Saint Petersburg that reflects on both innovation activity data and territorial infrastructure, is made. The common tendency to increase the region innovation activity exists, despite the decrease of the number of organisations that perform researches and developments. These findings, achieved based on completed research, can be used to forecast the region innovation activity level, as well as for optimization of innovative activity indicators of the companies.

AB - This article is dedicated to the research of innovation processes at the regional level. There patterns of innovation processes and innovation activity applying modern management approach are considered. There dynamics analysis of such regional innovation activity indicators as number of organizations that perform the research; technology innovations cost; research and development inner cost; investment in equity; volume shipped innovation products is made based on statistic data. As an example of nature of the impact of these indicators to innovation environment of the region, the authors used the economic data of Saint Petersburg city. Additionally, there dynamics of analysing indicators is established, the reasons of their increase and decrease in the various time periods under the influence of political and external-economic factors is detected. In summary, the conclusion on current intensification of innovation processes in Saint Petersburg that reflects on both innovation activity data and territorial infrastructure, is made. The common tendency to increase the region innovation activity exists, despite the decrease of the number of organisations that perform researches and developments. These findings, achieved based on completed research, can be used to forecast the region innovation activity level, as well as for optimization of innovative activity indicators of the companies.

UR - http://www.scopus.com/inward/record.url?scp=85084111023&partnerID=8YFLogxK

U2 - 10.1051/e3sconf/202015704016

DO - 10.1051/e3sconf/202015704016

M3 - Conference article

AN - SCOPUS:85084111023

VL - 157

JO - E3S Web of Conferences

JF - E3S Web of Conferences

SN - 2555-0403

M1 - 04016

T2 - 2019 Key Trends in Transportation Innovation, KTTI 2019

Y2 - 24 October 2019 through 26 October 2019

ER -

ID: 88031587