scholarly journals THE DIGITAL ECONOMY AND ITS IMPACT ON THE FINANCIAL MARKET

2020 ◽  
Vol 8 (3) ◽  
pp. 83-87
Author(s):  
N. A. Shevchenko ◽  
V. D. Kalinova
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Stock Market ◽  
Financial Market ◽  
Digital Technologies ◽  
Financial Sector ◽  
Digital Economy ◽  
Significant Patterns

The article discusses the relevance of the introduction of digital technologies in the financial sector. Special attention is paid to the evolution of the stock market due to its digitalization. Various options for the practical use of digital technologies in the described area are shown by analyzing big data and identifying significant patterns. The authors ' proposals will improve the efficiency and validity of decision-making in the financial sector.

Evolution of e-participation in Greek local government

2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Local Government ◽  
Local Governments ◽  
Local Community ◽  
New Technologies ◽  
Mobile Apps ◽  
Digital Technologies ◽  
Decision Making Processes ◽  
The Impact

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.

scholarly journals Digital Economy and Anti-Corruption: New Digital Models

2019 ◽  
Vol 71 ◽  
pp. 03004
Author(s):  
E.L. Sidorenko ◽  
A.A. Lykov
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Crime Prevention ◽  
Digital Technologies ◽  
Digital Economy ◽  
Digital Models ◽  
Research Results ◽  
Corruption Prevention

The authors of this paper consider promising areas of the corruption prevention using the latest digital technologies: Blockchain, Internet of Things, Artificial Intelligence and Big Data. The purpose of this research is the analysis of advantages of the digital economy development in terms of solving social problems and crime prevention. The authors also show functional digital models of the anti-corruption compliance are defined. In addition, the research results include the determination of some shortcomings of the proposed models associated with the imperfection of the current legislation.

scholarly journals Identification and analysis of factors determining the readiness degree of the Russian Federation financial sector to the digitalization processes

E-Management ◽  
2020 ◽  
Vol 2 (4) ◽  
pp. 74-84
Author(s):  
E. A. Khalimon ◽  
V. G. Makeeva ◽  
Yu. N. Kafiyatullina ◽  
G. P. Kharchilava
Keyword(s):  
Financial Market ◽  
Financial Services ◽  
Practical Interest ◽  
Digital Technologies ◽  
Financial Sector ◽  
Strong Impact ◽  
Developed Economies ◽  
Market Participants ◽  
Technology Market ◽  
Identification Analysis

Nowadays, the rapidly growing technology market and the digitalization process that covers all areas of economic activity have a strong impact on financial markets. Changes in the financial sector occur both within the financial market objects themselves and in the processes of interaction with each other and clients. These changes are related to the application of new digital technologies, including distributed accounting technology, big data analysis, cloud computing, artificial intelligence, biometric technologies, augmented / virtual reality. These technologies are related to processes such as customer use of banking applications, remote payments, planning, lending and financing, trade and investment, insurance, security, regulatory operations and communications between financial market participants and customers.Such financial sector processes as fintech, regtech, investtech, creditech, inshurtech, cybertech, opertech, robotech, analytech, which reflect the digital aspect of the traditional processes of this market segment, have been described in the article. The article includes materials obtained in the course of the OECD’s work over the past few years on a number of related topics, including “Innovation in financial services”, “Digitalization and Finance”, which complements the study with additional relevant materials of international level. Technological innovations in the field of finance have been considered and their impact on the processes listed above has been evaluated. A detailed description of each of the nine processes contains the rationale and examples of the use of digital technologies, as well as the degree of integration and impact on these processes. The relevance of this topic is due to the fact that today there are no publications in domestic and foreign sources on the identification, analysis and evaluation of factors that affect the financial sector of the economy due to the lack of statistical and analytical information. In this regard, the conclusions made are of both scientific and practical interest not only in Russia, but also in other countries with developing and developed economies.

scholarly journals Digital technologies in the financial sphere (on the example of cryptocurrencies)

2020 ◽  
pp. 198-203
Author(s):  
E. B. Chernobrovkina
Keyword(s):  
Financial Market ◽  
Russian Federation ◽  
Legal Status ◽  
Digital Technologies ◽  
Financial Sector ◽  
Legal Regulation ◽  
Complex Nature ◽  
The World ◽  
The Russian Federation

The article explores the dialectic of determining the legal status of cryptocurrencies. Digital technologies are considered specifically for their application in the financial sector. The features of the use of digital technologies in various countries of the world are analyzed. Due to the variability of the legal regulation of digital technologies, the complex nature of their implementation is noted, which is not reduced to a simultaneous behavioral act. It is concluded that there is no universal way to sell cryptocurrencies in the financial market. The analysis of existing scientific approaches to understanding the concept of cryptocurrency, bitcoin is carried out.The article examines the digital technologies used in the financial sector, which include virtual currencies and — like their kind of cryptocurrency. The cryptocurrency status is not defined, however, there is the prospect of normative fixing it on the territory of the Russian Federation.

scholarly journals Development of the Logistics 4.0 Concept in the Digital Economy

2020 ◽  
pp. 85-96
Author(s):  
N. Trushkina ◽  
◽  
H. Dzwigol ◽  
O. Serhieieva ◽  
Yu. Shkrygun ◽  
...  
Keyword(s):  
Big Data ◽  
Customer Service ◽  
Industry 4.0 ◽  
Business Processes ◽  
Digital Technologies ◽  
Digital Economy ◽  
Digital Transformation ◽  
Digital Platforms ◽  
Delivery Times ◽  
Sustainable Logistics

The transition to a digital economy is becoming a key driver of GDP growth. This is due not only to the effect obtained from the automation of existing processes, but also from the introduction of new, breakthrough business models and technologies, including digital platforms, digital ecosystems, in-depth analytics of big data, Industry 4.0, Logistics 4.0. At the same time, digital transformation is seen as a radical change in the complex of business processes, from product development to customer service, as well as the introduction of modern digital technologies in the organization of business processes in enterprises. The purpose of the article is to analysis the features and trends of organizing logistics activities in the context of digital transformation of business processes; research of the main prerequisites for the formation of the Logistics 4.0 concept; determination of priority directions for its further development in the context of Industry 4.0. Based on the generalization of scientific approaches, the definition of the concept of "Logistics 4.0" has been clarified, which means the modern paradigm of managing logistic (material, financial, information, transport) flows and organizing a complex of logistics activities (purchase and delivery of material resources, warehousing, production, stock formation, recycling of industrial waste, customer service, transportation and sale of finished products) using breakthrough digital technologies and information systems. The priority areas of organizing the logistics activities of enterprises using digital technologies include the following: multichannel logistics; logistics marketplaces; rethinking the use of packaging; mass personalization; Silver Economy (new services for older clients and new opportunities for older workers); sustainable logistics; sharing economy; multi-supply; customer experience; smart containerization; big data analytics; augmented and virtual reality; cloud service applications and APIs; Internet of Things; robotics and automation; new generation wireless communication; blockchain; Artificial Intelligence; unmanned aerial vehicles or "drones"; 3D printing; unmanned vehicles; quantum computing; supergrid logistics; space logistics; the use of digital platforms that unite customers and transport and logistics companies (the parties can enter into digital contracts, exchange transport booking requests and electronic documents, control the delivery of goods in real time). All this can help to reduce costs by optimizing procurement; decrease in personnel costs and decrease in labour costs as a result of automation; reduction of errors in logistics; optimization of the supply process; efficient warehouse management; forecasting shipments; creation of optimal routes; operational planning of loads and control of delivery times; ensuring product delivery on time, improving customer loyalty; optimal interaction with customers on the "last mile".

scholarly journals Digital Transformation of Business Analytical Processes

2021 ◽  
Vol 8 (2) ◽  
pp. 62-70
Author(s):  
O. E. Mikhnenko
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
Business Processes ◽  
Digital Technologies ◽  
Business Environment ◽  
Digital Economy ◽  
Digital Transformation ◽  
Management Decision ◽  
Control Apparatus

Current development and management of economic activity is largely associated with the implementation of the concept of the digital economy, which poses new challenges for business intelligence. The set of tasks is formed in order to develop business intelligence so that it matches the improved management of economic subjects, and to ensure the quality of business processes when digital technologies are introduced. Improved management based on the concept of the business environment implies that monitoring principles are used to analyze the behavior of external business environment participants with the purpose to build a rational partnership relationship. The digital economy creates information opportunities in this area, as it provides the access to Big Data and their processing using Big data analytics technologies. With regard to the requirements of management, the article analyzes the behavior of elements of the internal business environment to develop a management solution to improve the effectiveness of their behavior. The high quality of the solution is provided by the information model being a highly adequate image of a particular object under control and the ability of the control apparatus to fully realize the volume of its inherent functions. Under these conditions, the digital transformation of analytical processes is based on its own information platform, which should use breakthrough digital technologies. The research uses such methods as systemic analysis to generalize the modern concepts of economic system management, development of digital technologies and their introduction into management decision-making processes.

scholarly journals Big Data: paradigm in construction in the face of the challenges and challenges of the financial sector in the 21st century

2021 ◽  
Vol 25 (110) ◽  
pp. 127-137
Author(s):  
Sonia Tigua Moreira ◽  
Edison Cruz Navarrete ◽  
Geovanny Cordova Perez
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Big Data Analytics ◽  
Financial Sector ◽  
Database Systems ◽  
Predictive Capacity ◽  
Data Clusters ◽  
Sixth International Conference ◽  
The Face ◽  
Sector Decision

The world of finance is immersed in multiple controversies, laden with contradictions and uncertainties typical of a social ecosystem, generating dynamic changes that lead to significant transformations, where the thematic discussion of Big Data becomes crucial for real-time logical decision-making. In this field of knowledge is located this article, which reports as a general objective to explore the strengths, weaknesses and future trends of Big Data in the financial sector, using as a methodology for exploration a scientific approach with the bibliographic tools scopus and scielo, using as a search equation the Big Data, delimited to the financial sector. The findings showed the growing importance of gaining knowledge from the huge amount of financial data generated daily globally, developing predictive capacity towards creating scenarios inclined to find solutions and make timely decisions. Keywords: Big Data, financial sector, decision-making. References [1]D. Reinsel, J. Gantz y J. Rydning, «Data Age 2025: The Evolution of Data to Life-Critical,» IDC White Pape, 2017. [2]R. Barranco Fragoso, «Que es big data IBM Developer works,» 18 Junio 2012. [Online]. Available: https://developer.ibm.com/es/articles/que-es-big-data/. [3]IBM, «IBM What is big data? - Bringing big data to the enterprise,» 2014. [Online]. Available: http://www.ibm.com/big-data/us/en/. [4]IDC, «Resumen Ejecutivo -Big Data: Un mercado emergente.,» Junio 2012. [Online]. Available: https://www.diarioabierto.es/wp-content/uploads/2012/06/Resumen-Ejecutivo-IDC-Big-Data.pdf. [5]Factor humano Formación, «Factor humano formación escuela internacional de postgrado.,» 2014. [Online]. Available: http//factorhumanoformación.com/big-data-ii/. [6]J. Luna, «Las tecnologías Big Data,» 23 Mayo 2018. [Online]. Available: https://www.teldat.com/blog/es/procesado-de-big-data-base-de-datos-de-big-data-clusters-nosql-mapreduce/#:~:text=Tecnolog%C3%ADas%20de%20procesamiento%20Big%20Data&text=De%20este%20modo%20es%20posible,las%20necesidades%20de%20procesado%20disminuyan. [7]T.A.S Foundation, "Apache cassandra 2015", The apache cassandra project, 2015. [8]E. Dede, B. Sendir, P. Kuzlu, J. Hartog y M. Govindaraju, «"An Evaluation of Cassandra for Hadoop",» de 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, 2013. [9]The Apache Software Foundation, «"Apache HBase",» 04 Agosto 2017. [Online]. Available: http://hbase.apache.org/. [10]G. Deka, «"A Survey of Cloud Database Systems",» IT Professional, vol. 16, nº 02, pp. 50-57, 2014. [11]P. Dueñas, «Introducción al sistema financiero y bancario,» Bogotá. Politécnico Grancolombiano, 2008. [12]V. Mesén Figueroa, «Contabilización de CONTRATOS de FUTUROS, OPCIONES, FORWARDS y SWAPS,» Tec Empresarial, vol. 4, nº 1, pp. 42-48, 2010. [13] A. Castillo, «Cripto educación es lo que se necesita para entender el mundo de la Cripto-Alfabetización,» Noticias Artech Digital , 04 Junio 2018. [Online].Available: https://www.artechdigital.net/cripto-educacion-cripto-alfabetizacion/. [14]Conceptodefinicion.de, «Definicion de Cienciometría,» 16 Diciembre 2020. [Online]. Available: https://conceptodefinicion.de/cienciometria/. [15]Elsevier, «Scopus The Largest database of peer-reviewed literature» https//www.elsevier.com/solutions/scopus., 2016. [16]J. Russell, «Obtención de indicadores bibliométricos a partir de la utilización de las herramientas tradicionales de información,» de Conferencia presentada en el Congreso Internacional de información-INFO 2004, La Habana, Cuba, 2004. [17]J. Durán, Industrialized and Ready for Digital Transformation?, Barcelona: IESE Business School, 2015. [18]P. Orellana, «Omnicanalidad,» 06 Julio 2020. [Online]. Available: https://economipedia.com/definiciones/omnicanalidad.html. [19]G. Electrics, «Innovation Barometer,» 2018. [20]D. Chicoma y F. Casafranca, Interviewees, Entrevista a Daniel Chicoma y Fernando Casafranca, docentes del PADE Internacional en Gerencia de Tecnologías de la Información en ESAN. [Entrevista]. 2018. [21]L.R. La república, «La importancia del mercadeo en la actualidad,» 21 Junio 2013. [Online]. Available: https://www.larepublica.co/opinion/analistas/la-importancia-del-mercadeo-en-la-actualidad-2041232#:~:text=El%20mercadeo%20es%20cada%20d%C3%ADa,en%20los%20mercados%20(clientes). [22]UNED, «Acumulación de datos y Big data: Las preguntas correctas,» 10 Noviembre 2017. [Online]. Available: https://www.masterbigdataonline.com/index.php/en-el-blog/150-el-big-data-y-las-preguntas-correctas. [23]J. García, Banca aburrida: el negocio bancario tras la crisis económica, Fundacion Funcas - economía y sociedad, 2015, pp. 101 - 150. [24]G. Cutipa, «Las 5 principales ventajas y desventajas de bases de datos relacionales y no relacionales: NoSQL vs SQL,» 20 Abril 2020. [Online]. Available: https://guidocutipa.blog.bo/principales-ventajas-desventajas-bases-de-datos-relacionales-no-relacionales-nosql-vs-sql/. [25]R. Martinez, «Jornadas Big Data ANALYTICS,»19 Septiembre 2019. [Online]. Available: https://www.cfp.upv.es/formacion-permanente/curso/jornada-big-data-analytics_67010.html. [26]J. Rifkin, The End of Work: The Decline of the Global Labor Force and the Dawn of the Post-Market Era, Putnam Publishing Group, 1995. [27]R. Conde del Pozo, «Los 5 desafíos a los que se enfrenta el Big Data,» 13 Agosto 2019. [Online]. Available: https://diarioti.com/los-5-desafios-a-los-que-se-enfrenta-el-big-data/110607.

DEVELOPMENT TENDENCIES OF THE DIGITAL ECONOMY

2021 ◽  
Vol 4 (4) ◽  
pp. 70-75
Author(s):  
Shoxida Mannonova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Digital Technologies ◽  
Educational Programs ◽  
Digital Economy ◽  
Skilled Labor ◽  
Professional Skills ◽  
Effective Use

The article analyzes the features of the digital economy, the ecosystem, the effective use of digital technologies in the development of the economy and current issues in this area, as well as the necessary skills of training for the digital economy, modern professions that will be needed in the near future.Keywords:digital economy, big data, artificial intelligence, nanotechnology, quantum technologies, Internet of things, ecosystem, personnel, professional skills, skilled labor, businessmodels, joint educational programs

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