Digital Technologies of the Bank of Russia for Regulating Investment Relations

Matytsin, Denis E.

doi:10.1007/978-981-16-4621-8_19

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…The third situation involves the most high-tech market segments, where enterprises are interested in continuous digital modernization and high innovation activity (Inshakova et al, 2020 ). For them, human resources are a key factor in production, as they provide strategic competitive advantages (Matytsin, 2022b ). Automation is also beneficial for them, but the loss of valuable personnel and corporate knowledge threatens to lose of market positions (Zhao et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“Smart” outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy

Matytsin

Dzedik

Makeeva

et al. 2023

Humanit Soc Sci Commun

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The article focuses on the problem of optimizing human resource management with systematic coverage of economic efficiency and corporate social responsibility. The purpose of the article is to study the role of outsourcing in the humanization of entrepreneurship in the AI economy. The potential of outsourcing in the field of entrepreneurship development in the AI economy is justified through econometric modeling using the regression analysis method on the example of companies from the “Global-500” in 2022. Promising directions for the development of “smart” outsourcing in support of the humanization of entrepreneurship in the economy using the method of comparative analysis are determined through the identification of its advantages in comparison with traditional outsourcing for the humanization of entrepreneurship. Using the case study method, successful examples of the use of “smart” outsourcing in various business operations of entrepreneurship are systematized. The key conclusion is that in the AI economy, the humanization of entrepreneurship can be provided with the help of “smart” outsourcing, which is more preferable than traditional outsourcing due to its increased flexibility, rationality, and efficiency. The theoretical significance lies in clarifying the specifics of outsourcing in the AI economy, as well as in justifying the preference for “smart” outsourcing and in providing a scientific methodology for its implementation. The practical significance is connected with the fact that the proposed practical recommendations on the implementation of “smart” outsourcing allow to improve the efficiency of entrepreneurial activity and strengthen the resilience of businesses to economic crises, supporting economic growth through “smart” outsourcing.

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Section: Literature Reviewmentioning

confidence: 99%

“Smart” outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy

Matytsin

Dzedik

Makeeva

et al. 2023

Humanit Soc Sci Commun

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“…The Russian government has established National Settlement Depository (NSD) to facilitate bond and equity investment. Moreover, the development of the Russian Trading System (RTS) has helped investors acquire relevant information and trade efficiently (Abramov, Radygin, & Chernova, 2021;Goriaev, 2004;Matytsin, 2021;Mukherjee et al, 2022). The developments of NSD and RTS have facilitated investment and enhanced the efficiency, and transparency of trading in Russian capital markets.…”

Section: Volatility Spillover and Its Propertiesmentioning

confidence: 99%

Exchange Rate and Stock Prices Volatility Connectedness and Spillover during Pandemic Induced-Crises: Evidence from BRICS Countries

Hussain

Bashir

Rehman

2023

Asia-Pac Financ Markets

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This paper investigated exchange rate and stock price volatility connectedness and spillover in Brazil, Russia, India, China, and South Africa (BRICS) during pandemic-induced crises. We first extracted volatility using the Generalized Auto-Regressive Conditional Heteroskedasticity (GARCH) model. Then volatility connectedness and spillover were investigated by using (Diebold and Yilmaz, International Journal of Forecasting, 28 (1), 57–66, 2012) method. We find that exchange rate volatility and stock return volatilities are connected during pandemic-induced crises. The study also finds volatilities spillover among countries in the sample. Russia has strong volatility connectedness with India in these financial markets. The direction of volatility spillover is from Russia to India. Similarly, Brazil has strong volatility connectedness with South Africa and the direction volatility spillover is from Brazil to South Africa. Finally, China has a weak volatility connection with the remaining BRICS countries. Thus, the volatility transfer in these financial markets and across BRICS countries has economic implications.

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Digital Technologies in Bankruptcy

Mysak

2022

Towards an Increased Security: Green Innovations, Intellectual Property Protection and Information Security

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Digital Technologies of the Bank of Russia for Regulating Investment Relations

Cited by 9 publications

References 7 publications

“Smart” outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy

“Smart” outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy

Exchange Rate and Stock Prices Volatility Connectedness and Spillover during Pandemic Induced-Crises: Evidence from BRICS Countries

Digital Technologies in Bankruptcy

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