The Impact of Digital Transformation on the Process of Russian Enterprises Entering International Financial Markets

Rumyantseva, Anna; Sintsova, Elena; Sukhacheva, Victoria V.; Tarutko, Olga

doi:10.1145/3487757.3490944

Cited by 8 publications

(3 citation statements)

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“…Современные условия хозяйствования характеризуются крайне динамичными и активными изменениями во внешней среде. Вопросы влияния на банковскую сферу со стороны повестки устойчивого развития, в частности, рассматривались в [2][3][4], цифровой трансформации в [5], а санкционного давления в [6].…”

Section: Compliance Control Promotion In the Banking Sector Of Russiaunclassified

Compliance Control Promotion in the Banking Sector of Russia

Rumyantseva,

Bezgacheva,

Tserkasevich

2024

ФИ (FR)

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Section: Compliance Control Promotion In the Banking Sector Of Russiaunclassified

Compliance Control Promotion in the Banking Sector of Russia

Rumyantseva,

Bezgacheva,

Tserkasevich

2024

ФИ (FR)

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“…Несомненно, помимо повышенной ключевой ставки, банковская система находится под влиянием массы других факторов современного, таких как тренды в области устойчивого развития [4][5][6], цифровой трансфор-мации [7,8]. Как отмечено в [9], развитие мировой финансовой системы сопровождается активизацией кредитно-заемной деятельности государств, что неизбежно влечет за собой рост государственного долга.…”

Section: Introductionunclassified

Increased Key Rate as a Factor in Investment and Financial Decisions

Druzhinin,

Popova,

Marianenko

2024

Вестник Алтайской академии экономики и права

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В настоящей статье представлен анализ причинно-следственной связи между колебаниями в значениях экономических показателей (ключевая ставка, курса национальной валюты, уровень инфляции, рыночные котировки, проценты по банковским вкладам) и возникающих перед физическими и юридическими лицами препятствиях и перспективах принятия различных финансовых и инвестиционных решений. Развитие российского фондового рынка напрямую связано с динамичным и устойчивым развитием отечественной экономики, а последняя, в свою очередь, напрямую зависит от макроэкономической стабильности и поддержания на заданном уровне важнейших показателей, таких как уровень инфляции и курс рубля. Именно на поддержание такой стабильности и направлены действия Центробанка России по повышению или снижению ключевой ставки. Также в статье рассмотрено потенциальное влияние на фондовый рынок решения Банка России о возможности для инвестирования пенсионных резервов в IPO.

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“…The digitalization trend is becoming more pronounced in the development of different industrial sectors, from manufacturing to services to education and healthcare; all industries are actively exploring ways of digital transformation (Sukhareva et al, 2021). In the workplace and daily life, emerging concepts such as "digital," "traffic," and "big data" are gradually penetrating, leading people to adapt and apply these concepts to promote a more efficient and more thoughtful society (Rumyantseva et al, 2021). This wave of digitization highlights the need for a more efficient and more innovative society.…”

Section: Introductionmentioning

confidence: 99%

Integration and Innovation Path Analysis of Enterprise Marketing Data Management Based on Deep Learning

Wang

2024

ICST Transactions on Scalable Information Systems

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INTRODUCTION: To explore the integration and innovation path of enterprise marketing data management based on deep learning to adapt to today's competitive business environment. With the continuous development of information technology, enterprises are faced with a large amount of marketing data, and how to efficiently manage and integrate these data has become an essential issue for enterprises to improve their market competitiveness. Deep learning, as a necessary technical means of artificial intelligence, provides enterprises with more intelligent and precise data processing tools.OBJECTIVES: The primary purpose of the study is to solve the problems of marketing data management in traditional enterprises and to achieve better integration and management of data through deep learning technology. Specifically, the goal is to explore the potential of deep learning in improving data processing efficiency and accurately analyzing user behavior and trends. By achieving these goals, organizations can better understand market needs, develop more effective marketing strategies, and stand out in a competitive marketplace.METHODS: This study adopts a comprehensive approach, including a literature review, case study, and empirical analysis of deep learning algorithms. First, the main issues of current enterprise marketing data management and the latest progress in deep learning were understood through an in-depth study of the literature in related fields. Second, several enterprise cases were selected to gain a deeper understanding of the challenges and needs of enterprises in marketing data management through field research and data collection. Finally, a series of deep learning algorithms were designed and implemented to validate their effectiveness in real-world applications and analyze their impact on data integration and innovation paths.RESULTS: The results of the study show that deep learning has significant advantages in enterprise marketing data management. By using deep learning algorithms, enterprises are able to handle large-scale marketing data more efficiently and achieve intelligent data integration and accurate analysis. This not only improves the efficiency of data processing but also provides enterprises with deeper market insights that help develop more targeted marketing strategies.CONCLUSION: The results of the study are of guiding significance for enterprises to realize data-driven marketing decision-making, which provides strong support for enterprises to maintain their competitive advantages in the highly competitive market. Future research can further explore the application of deep learning in different industries and scenarios, as well as how to optimize deep learning algorithms further to meet the changing needs of enterprises.

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The Impact of Digital Transformation on the Process of Russian Enterprises Entering International Financial Markets

Cited by 8 publications

References 0 publications

Compliance Control Promotion in the Banking Sector of Russia

Compliance Control Promotion in the Banking Sector of Russia

Increased Key Rate as a Factor in Investment and Financial Decisions

Integration and Innovation Path Analysis of Enterprise Marketing Data Management Based on Deep Learning

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