Assessment and analysis of innovative activities of high-tech industries in the digital economy based on the cluster approach

被引:0
|
作者
Trofimov, Oleg Vladimirovich [1 ]
Frolov, Vladislav Genrihovich [1 ]
Klimova, Elena Zuferovna [1 ]
Ilyicheva, Nina Mikhaylovna [1 ]
Kislinskaya, Marina Vladimirovna [1 ]
机构
[1] Lobachevsky State Univ Nizhny Novgorod, Nizhnii Novgorod, Russia
来源
NEXO REVISTA CIENTIFICA | 2021年 / 34卷 / 04期
关键词
Digitalization; Digital economy; High-tech enterprises; Model; Development;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The purpose of the study is to analyze the level of digitalization of the economies of various countries of the world by dividing them into groups according to the level of digitalization of the economy through cluster analysis methods using a model for the development of high-tech industries. The following analysis methods were used during the analysis: a comparative approach in the analysis of approaches to the concept of "digital economy" by Russian and foreign authors, statistical analysis of indicators of the development of the digital economy of Russia and the countries of the world, cluster analysis in dividing the countries of the world into separate groups according to the level of development of the digital economy, morphological analysis and synthesis in the formation of the optimal structure of high-tech industries to increase the level of digitalization of the Russian economy, tabular and graphical methods to illustrate the results obtained. The result of the study is the formation of clusters of countries in the world according to the level of development of the digital economy and the application of a model for the development of high-tech industries in the country to increase the level of digitalization.
引用
收藏
页码:1344 / 1354
页数:11
相关论文
共 50 条
  • [31] The political economy of high-tech industries in developing countries: aerospace in Brazil, Indonesia and South Africa
    Goldstein, A
    [J]. CAMBRIDGE JOURNAL OF ECONOMICS, 2002, 26 (04) : 521 - 538
  • [32] Analysis of Innovative Technology Diffusion Dynamic Model Of High-tech Enterprise
    Zheng, Junjun
    Tang, Peng
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 1119 - 1122
  • [33] High-tech Enterprise's Profitability Analysis Based on The Iceberg Theoretical Approach
    Guan, Yongjun
    Liang, Laixin
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2009, : 303 - 306
  • [34] Comparative analysis of total factor productivity in China's high-tech industries
    Chen, Xiaoqing
    Liu, Xinwang
    Zhu, Qingyuan
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2022, 175
  • [35] PATTERNS OF TECHNOLOGICAL INNOVATION: A COMPARATIVE ANALYSIS BETWEEN LOW-TECH AND HIGH-TECH INDUSTRIES IN BRAZIL
    Silveira Fontenele, Raimundo Eduardo
    Oliveira Cabral, Jose Ednilson
    Arruda Cavalcante Forte, Sergio Henrique
    Braga Costa, Maria da Penha
    [J]. INTERNATIONAL JOURNAL OF INNOVATION, 2016, 4 (02): : 97 - +
  • [36] Risk-based perspective on the choice of alliance governance in high-tech industries
    Kim, Hwan-Jin
    Kim, Byung-Keun
    [J]. JOURNAL OF MANAGEMENT & ORGANIZATION, 2017, 23 (05) : 671 - 688
  • [37] The Interaction Between the Innovation and the Output of China's High-tech Industries Based on Grey Relational Analysis
    Yuan, Chaoqing
    Yang, Yingjie
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2014, : 1687 - 1690
  • [38] Study of Guangxi's Green Innovation Efficiency of High-tech Industries Based on Data Envelopment Analysis
    Wei, Feng
    Wu, Pei-pei
    Feng, Bo-ming
    Qing, Yong-yi
    [J]. PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON EDUCATION, ECONOMICS AND MANAGEMENT RESEARCH (ICEEMR 2017), 2017, 95 : 239 - 242
  • [39] Empirical analysis of the industry linkage among high-tech industries based on the input-output table
    Wang Fang
    ZhaoYulin
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS 1 AND 2, 2006, : 1 - 5
  • [40] Digital transformation enablers in high-tech and low-tech companies: A comparative analysis
    Sergei, Titov
    Arkady, Trachuk
    Natalya, Linder
    Pathak, R. D.
    Samson, Danny
    Husain, Zafar
    Sushil, S.
    [J]. AUSTRALIAN JOURNAL OF MANAGEMENT, 2023, 48 (04) : 801 - 843