Economic and legal aspects of the innovative activity of enterprises in the context of the digital economy

Markova, Olga Vladimirovna; Listopad, Ekaterina Yevgenievna; Shelygov, Aleksandr Vladimirovich; Fedorov, Alexander Grigorievich; Kiselevich, Igor Valentinovich

doi:10.5377/nexo.v34i02.11623

Cited by 11 publications

(7 citation statements)

References 2 publications

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“…Te machine learning problem is to fnd the optimal function f(x, α 0 ) of the above samples in the function set f (x, α). It enables it to minimize the expected risk as shown as follows [12,13]:…”

Section: Erm Principles Of Machinementioning

confidence: 99%

Construction of Digital Economy Trade Security Evaluation System Based on Computational Intelligence

Zhu

Wang

2022

Computational Intelligence and Neuroscience

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The upgrading of the digital economy (DE) is crucial to building an intelligent society. The rapid development of computational intelligence in recent years has also brought vitality to the development of the DE. However, with the deepening of international trade, the issue of trade security has become more and more prominent. Therefore, this study aimed to construct a DE trade security evaluation system. For computational intelligence, this study proposes a support vector machine based on improved particle swarm optimization. Such an algorithm can play a key role in the construction of an evaluation system. It is built for the evaluation system. This study selects five indicators of market competitiveness, trade control, trade dependence, market concentration, and trade legal system evaluation. The experimental results of this study prove that the evaluation system proposed in this study is effective. In its test for some countries in the world, the UK trade security index was the highest at 0.582, while China was relatively low at 0.492.

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Section: Erm Principles Of Machinementioning

confidence: 99%

Construction of Digital Economy Trade Security Evaluation System Based on Computational Intelligence

Zhu

Wang

2022

Computational Intelligence and Neuroscience

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“…He believed that countries need to do a good job of national cybersecurity strategies. Markova et al (2021) studied the economics and laws of corporate innovation activities in the context of the digital economy. He believed that the strategic goal of ensuring information security was to protect the vital interests of individuals and society from internal and external threats ( Markova et al, 2021 ).…”

Section: Related Workmentioning

confidence: 99%

“… Markova et al (2021) studied the economics and laws of corporate innovation activities in the context of the digital economy. He believed that the strategic goal of ensuring information security was to protect the vital interests of individuals and society from internal and external threats ( Markova et al, 2021 ). Kazakov and Valijonov (2021) studied product competitiveness in the context of the digital economy.…”

Section: Related Workmentioning

confidence: 99%

“…The digital economy refers to the identification-selection-filtering-storage-use of human beings through digital knowledge and information, guiding and realizing the rapid optimal allocation and regeneration of resources. This achieves the economic form of high-quality economic development ( Alizadeh et al, 2017 ; Markova et al, 2021 ). From a technical perspective, the digital economy includes emerging technologies such as big data, cloud computing, Internet of Things, blockchain, artificial intelligence, and 5G communications ( Rrustemi and Tuchschmid, 2020 ), as shown in Figure 1 .…”

Section: Brief Introduction Of Digital Economy and Canopy-k-means Clu...mentioning

confidence: 99%

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Design of digital economy consumer psychology prediction model based on canopy clustering algorithm

2022

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With the continuous improvement of the level of science and technology, the popularization of the Internet and the development of applications, online consumption has become a major force in personal consumption. As a result, digital consumption is born, and digital consumption is not only reflected in transaction consumption at the monetary level. Like some intangible services similar to the use of dating software, it can also become digital consumption. In this environment, a new economic concept, the digital economy, has emerged as the times require. The digital economy helps to achieve the rapid optimal allocation and regeneration of resources and achieve high-quality economic development. Therefore, as a new economic form, the digital economy has penetrated into all fields of human society. The Canopy algorithm is a fast clustering technique that requires only one pass through the data technology to get the results. But it is inaccurate for large-scale data clustering. Therefore, when analyzing the data, it is necessary to use the Canopy algorithm for preliminary clustering, and then combine with other algorithms or model software for refinement. This article introduces the development of the digital economy in the Internet era. It conducts a theoretical discussion on consumer psychology in the context of the digital economy. It introduces the basic calculation formula of the clustering algorithm and the algorithm flow of the Canopy clustering algorithm. It does model optimization for the Canopy clustering algorithm. On this basis, it designs questionnaires for experimental design. The indicators are divided into commodity attributes and consumer psychology. It builds a consumer psychology prediction model and tests the prediction results. The results show that the maximum difference between the prediction results of digital economy consumption psychology based on the Canopy clustering algorithm and the actual results is 0.047. It can be shown that the psychological prediction model of digital economy consumption based on the Canopy clustering algorithm has certain practicability.

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“…Within the framework of the activity approach, the essence of civil law regulation of investments is understood through a set of actions for the transfer of an object; and also, through the relationship associated with the investment of assets. The theoretical basis of the activity approach is the study of the essence and content of the investment process and vigorous activity aimed at achieving the goals of investors; mechanisms of legal regulation of investment activities; investment relations arising based on investment contracts and constituting the subject of civil law regulation [6,7].…”

Section: Introductionmentioning

confidence: 99%

Civil Law Regulation of Investments in the Scientific and Educational Ecosystem of the University

Pugacheva¹,

Askarova²

2022

Proceedings of the International Scientific and Practical Conference Strategy of Development of Regional Ecosystems “Education-

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Civil law regulation of investments is associated with an increase in the role of capital investments in the processes of creating new technologies, implementing scientific and educational projects. There are two approaches to the civil legal regulation of investments: object and activity ones. Within the framework of the object approach, the essence of civil law regulation of investments is defined through the category "object of civil law". Within the framework of the activity approach, the essence of civil law regulation of investments is understood through a set of actions for the transfer of an object and through relations associated with the investment of assets. The purpose of the study is to substantiate the effectiveness of the integration of object and activity approaches to the civil legal regulation of investments in the scientific and educational ecosystem of the university. The methodological basis of the study was formed by general and special methods of cognition, which made it possible to give an adequate assessment of the concepts, to determine the essence of civil legal regulation of investments and the scientific and educational ecosystem of the university. The main results of the study are the following: to clarify the content of the scientific and educational ecosystem of the university; to establish dialectical relationships between the civil law regulation of investments and sustainable development of the scientific and educational ecosystem of the university; to describe the civil law regulation of investments in the scientific and educational ecosystem of the university. In the content of the scientific and educational ecosystem, network, participatory, integrative components are highlighted that generate processes of selforganization and self-development, stimulate the commercialization of innovations, help to minimize risks, focus on improving the quality of life of each person, sustainable development of society. The dialectical interrelationships between the civil legal regulation of investments and the sustainable development of the scientific and educational ecosystem provide support for innovative solutions in the field of end-to-end technologies, the organization of digital platforms and new infrastructure facilities for the training of scientific personnel and specialists with professional skills of the 21st century. A comprehensive characteristic of civil law regulation of investments, which includes legal incentives for investment activities, state support for investors, legal restrictions and prohibitions, state control and supervision, provides an increase in the efficiency of forms and methods of public-private partnership in the process of development, examination, implementation of investment projects in the field science and education. The integration of object and activity approaches to the civil legal regulation of investments in the scientific and educational ecosystem of the university focuses on the improvement of intersectoral harmonization of regulatory and legal ...

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Economic and legal aspects of the innovative activity of enterprises in the context of the digital economy

Cited by 11 publications

References 2 publications

Construction of Digital Economy Trade Security Evaluation System Based on Computational Intelligence

Construction of Digital Economy Trade Security Evaluation System Based on Computational Intelligence

Design of digital economy consumer psychology prediction model based on canopy clustering algorithm

Civil Law Regulation of Investments in the Scientific and Educational Ecosystem of the University

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