Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.8
Journals
JRFM
Special Issues
Trends in Information Technology
share announcement

Trends in Information Technology

A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Financial Technology and Innovation".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 80381

Special Issue Editors

Prof. Dr. Aleksy Kwilinski

E-Mail Website
Guest Editor
Department of Marketing, Sumy State University, 2 Rymsky-Korsakov St., 40007 Sumy, Ukraine
Interests: artificial intelligence; cognitive technologies; reflexive management; sustainability; information economy; management development
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Aleksandra Kuzior

E-Mail Website
Guest Editor
Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, 26-28 Roosevelt Street, 41-800 Zabrze, Poland
Interests: philosophy of technology; ecophilosophy; applied ethics; technology assessment; industry 4.0; society 4.0; artificial intelligence; cognitive technologies; smart sustainable city
Special Issues, Collections and Topics in MDPI journals
Dr. Oleksii Lyulyov

E-Mail Website
Guest Editor
Marketing Department, Sumy State University, 40007 Sumy, Ukraine
Interests: digital marketing; artificial intelligence in marketing; innovative development; sustainable economic development; strategy development; modelling and forecasting development trends
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the broad topic of “Trends in Information Technology” and includes, but is not limited to, conceptual and practical approaches and methodologies towards the development risks of the information economy, digital economy, new economy, big data, mathematical economics, game theory, knowledge economy, virtual economy, synthetic economy, emerging economy, spatial economy, network economy, Web economy, sharing economy, digital marketing, reflexive management, Internet economy, electronic economy, information network economy, Industry 4.0, electromobility, post-industrial economy, gig economy, e-commerce, e-business, platform economy, algorithmic economy, cyber-physical systems in economics, blockchain technology, the Internet of things, industrial Internet of things, cloud computing, cognitive technologies, technology assessment, philosophy of technology, business ethics, network ethics, Internet ethics, communication ethics, ethics of new economy, artificial intelligence, smart cities, and space economy.

The 2nd international interdisciplinary scientific conference "Digitalisation and Sustainability for Development Management: Economic, Social, and Environmental Aspects" (September 15-16, 2022, London, UK).

Prof. Dr. Aleksy Kwilinski
Prof. Dr. Aleksandra Kuzior
Prof. Dr. Oleksii Lyulyov
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information technology
  • information economy
  • Internet of things
  • artificial intelligence
  • blockchain technology
  • risks of development
  • digitalization
  • technology assessment
  • cognitive technologies
  • philosophy of technology
  • business ethics
  • network ethics
  • Internet ethics
  • communication ethics
  • ethics of new economy
  • optimization management
  • sustainability
  • effectiveness.

Published Papers (18 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

22 pages, 6553 KiB  
Article
Countering Cybercrime Risks in Financial Institutions: Forecasting Information Trends
by Aleksandra Kuzior, Paulina Brożek, Olha Kuzmenko, Hanna Yarovenko and Tetyana Vasilyeva
J. Risk Financial Manag. 2022, 15(12), 613; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm15120613 - 16 Dec 2022
Cited by 9 | Viewed by 3650
Abstract
This article aims to forecast the information trends related to the most popular cyberattacks, seen as the cyber-crimes’ consequences reflecting on the Internet. The study database was formed based on online users’ search engine requests regarding the terms “Cyberattacks on the computer systems [...] Read more.
This article aims to forecast the information trends related to the most popular cyberattacks, seen as the cyber-crimes’ consequences reflecting on the Internet. The study database was formed based on online users’ search engine requests regarding the terms “Cyberattacks on the computer systems of a financial institution”, “Cyberattacks on the network infrastructure of a financial institution”, and “Cyberattacks on the cloud infra-structure of a financial institution”, obtained with Google Trends for the period from 16 April 2017 to 4 October 2022. The authors examined the data using the Z-score, the QS test, and the method of differences of average levels. The data were found to be non-stationary with outliers and a seasonal component, so exponential smoothing was applied to reduce fluctuations and clarify the trends. As a result, the authors built additive and multiplicative cyclical and trend-cyclical models with linear, exponential, and damped trends. According to the models’ quality evaluation, the best results were shown by the trend-cyclic additive models with an exponential trend for predicting cyberattacks on computer systems and the cloud infrastructure and a trend-cyclic additive model with a damped tendency for predicting cyberattacks on the network infrastructure. The obtained results indicate that the U.S. can expect cybercrimes in the country’s financial system in the short and medium term and develop appropriate countermeasures of a financial institution to reduce potential financial losses. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

14 pages, 460 KiB  
Article
The Convergence Evolution in Europe from a Complex Networks Perspective
by Theophilos Papadimitriou, Periklis Gogas and Fotios Gkatzoglou
J. Risk Financial Manag. 2022, 15(10), 457; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm15100457 - 12 Oct 2022
Cited by 1 | Viewed by 1342
Abstract
The evolution of the convergence among the European countries, including both Eurozone as well as non-Eurozone economies, is investigated in this paper. To do so, we construct correlation-based networks and study them by employing the Threshold Weighted-Minimum Dominating Set (TW–MDS) algorithm and analyzing [...] Read more.
The evolution of the convergence among the European countries, including both Eurozone as well as non-Eurozone economies, is investigated in this paper. To do so, we construct correlation-based networks and study them by employing the Threshold Weighted-Minimum Dominating Set (TW–MDS) algorithm and analyzing standard quantitative performance graph theory metrics. Each country is represented by a network node, while the edges represent the cross-correlations calculated for a specific macroeconomic variable, for a given time window. To study the intertemporal evolution of the network’s interconnections, we examine its structure in three consecutive time intervals: 1999–2004, 2005–2010 and 2011–2019. The empirical findings provide a mixed pattern. The European countries exhibit a common behavior over time for some macroeconomic variables, but not for all of them. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

12 pages, 754 KiB  
Article
Exploring Coupled Open Innovation for Digital Servitization in Grocery Retail: From Digital Dynamic Capabilities Perspective
by Andrejs Čirjevskis
J. Risk Financial Manag. 2022, 15(9), 411; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm15090411 - 16 Sep 2022
Cited by 7 | Viewed by 3368
Abstract
Open innovation and digital servitization have been hot topics in existing research. Moreover, the latest research in entrepreneurship and general management justifies that the performance results of specific innovation strategies are usually influenced by dynamic capabilities. However, there is little empirical research on [...] Read more.
Open innovation and digital servitization have been hot topics in existing research. Moreover, the latest research in entrepreneurship and general management justifies that the performance results of specific innovation strategies are usually influenced by dynamic capabilities. However, there is little empirical research on the linkage of open innovation, digital servitization, and micro-foundations of digital dynamic capabilities that affect alliance performance. The emerging literature on open innovation provides partial insight into the micro-foundations of digital dynamic capabilities. Based on it, from a dynamic capability perspective, this paper constructs a conceptual model of research including coupled open innovation of collaborative partners, alliance’s formation phases, and dynamic digital capabilities and their micro-foundations which impact alliance performance in grocery retail. The paper aims to provide an overarching view of the digital servitization process of grocery retailers and unpack the micro-foundations of the digital transformation of their business models to sustain advantages. Thus, the paper contributes to the research on open innovation, blockchain technology, artificial intelligence, and dynamic capabilities and provides two theoretical propositions. Then, having employed two illustrative case studies, this paper empirically tests theoretical propositions and justifies the role of coupled open innovation strategies for digital servitization and its micro-foundations. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

17 pages, 1928 KiB  
Article
Application of Social Network Analysis to Visualization and Description of Industrial Clusters: A Case of the Textile Industry
by Marina Y. Sheresheva, Lilia A. Valitova, Elena R. Sharko and Ekaterina V. Buzulukova
J. Risk Financial Manag. 2022, 15(3), 129; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm15030129 - 08 Mar 2022
Cited by 2 | Viewed by 3712
Abstract
This paper discusses the issues of industrial cluster analysis. Initially, the authors explore theoretical approaches to understanding the clusters phenomenon and their identification and analysis. Looking at industrial clusters as network structures connected by various forms of interaction between members, such as ownership [...] Read more.
This paper discusses the issues of industrial cluster analysis. Initially, the authors explore theoretical approaches to understanding the clusters phenomenon and their identification and analysis. Looking at industrial clusters as network structures connected by various forms of interaction between members, such as ownership linkages, transactions, the presence of common counterparts, and participation in arbitration processes, the authors propose visualizing clusters using social network analysis metrics. This approach helps to address one of the main difficulties when contacting the members of industrial clusters for a subsequent survey or in-depth interviewing. The analysis concludes with a discussion of the proposed method as a way to identify cluster members and determine the most significant ones that are the primary nodes of the network. These key members usually possess enough relevant information about the structure, coordination mechanisms, general strategy, and cluster management system. Therefore, it is possible to limit the list of interviewed respondents without a substantial loss in empirical data quality. The case of the textile industry cluster presented in this paper confirms the applicability of social network analysis to the visualization and description of industrial clusters. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

12 pages, 754 KiB  
Article
Implementation Risk Factors of Collaborative Housing in Poland: The Case of ‘Nowe Żerniki’ in Wrocław
by Piotr Lis, Zuzanna Rataj and Katarzyna Suszyńska
J. Risk Financial Manag. 2022, 15(3), 101; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm15030101 - 24 Feb 2022
Cited by 2 | Viewed by 2297
Abstract
The main aim of this study is to elucidate implementation risk factors of collaborative housing in Poland. The research is based on Rogers’ framework supported by Kim and Mauborgne’s utility map. On this basis, in-depth interviews were carried out with the leader of [...] Read more.
The main aim of this study is to elucidate implementation risk factors of collaborative housing in Poland. The research is based on Rogers’ framework supported by Kim and Mauborgne’s utility map. On this basis, in-depth interviews were carried out with the leader of a housing project called ‘Nowe Żerniki’ in Wrocław, residents of collaborative housing, third sector actors, architects and researchers. An analysis of potential demand for collaborative housing was conducted using focus groups for a selected group of students who will make housing choices in the coming years. In their work, the authors assess the factors inhibiting the rate of diffusion of collaborative housing in Poland, point out the utility constraints and try to formulate the basic conditions for socio-technical transitions in the area of grassroots housing. The results indicate that collaborative housing in Poland requires a friendly and supporting environment, credit institutions with experience in handling innovative housing projects and experienced leaders. The connection to the place and the local capital are crucial factors for all the key actors of the collaborative housing process. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

32 pages, 1576 KiB  
Article
Impact of Geopolitical Risk on the Information Technology, Communication Services and Consumer Staples Sectors of the S&P 500 Index
by Gerard Atabong Fossung, Vasileios Chatzis Vovas and A. M. M. Shahiduzzaman Quoreshi
J. Risk Financial Manag. 2021, 14(11), 552; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm14110552 - 16 Nov 2021
Cited by 5 | Viewed by 4196
Abstract
We investigate the effect of geopolitical risk on the returns of firms in the Information Technology, Communication Services, and Consumer Staples sectors within the S&P 500 index. We use the event study methodology and perform more than 17,000 regressions to provide empirical evidence [...] Read more.
We investigate the effect of geopolitical risk on the returns of firms in the Information Technology, Communication Services, and Consumer Staples sectors within the S&P 500 index. We use the event study methodology and perform more than 17,000 regressions to provide empirical evidence at sector level that geopolitical risk leads to different responses across these three sectors. The response of the Information Technology sector is negative for all event windows under study, except the one spanning 10 days prior to the geopolitical event and 10 days after. The Communication Services sector has positive returns as a result of geopolitical events for all event windows, except the one from the geopolitical event date and 5 days after. The Consumer Staples sector shows a negative impact on geopolitical risk for all event windows except the one from the geopolitical event date and 5 days after, demonstrating a negative correlation to the Communication Services sector. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

25 pages, 1903 KiB  
Article
Churn Management in Telecommunications: Hybrid Approach Using Cluster Analysis and Decision Trees
by Mirjana Pejić Bach, Jasmina Pivar and Božidar Jaković
J. Risk Financial Manag. 2021, 14(11), 544; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm14110544 - 11 Nov 2021
Cited by 11 | Viewed by 4153
Abstract
The goal of the paper is to present the framework for combining clustering and classification for churn management in telecommunications. Considering the value of market segmentation, we propose a three-stage approach to explain and predict the churn in telecommunications separately for different market [...] Read more.
The goal of the paper is to present the framework for combining clustering and classification for churn management in telecommunications. Considering the value of market segmentation, we propose a three-stage approach to explain and predict the churn in telecommunications separately for different market segments using cluster analysis and decision trees. In the first stage, a case study churn dataset is prepared for the analysis, consisting of demographics, usage of telecom services, contracts and billing, monetary value, and churn. In the second stage, k-means cluster analysis is used to identify market segments for which chi-square analysis is applied to detect the clusters with the highest churn ratio. In the third stage, the chi-squared automatic interaction detector (CHAID) decision tree algorithm is used to develop classification models to identify churn determinants at the clusters with the highest churn level. The contribution of this paper resides in the development of the structured approach to churn management using clustering and classification, which was tested on the churn dataset with a rich variable structure. The proposed approach is continuous since the results of market segmentation and rules for churn prediction can be fed back to the customer database to improve the efficacy of churn management. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

10 pages, 302 KiB  
Article
The Impact of Innovation and Information Technology on Greenhouse Gas Emissions: A Case of the Visegrád Countries
by Radosław Miśkiewicz
J. Risk Financial Manag. 2021, 14(2), 59; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm14020059 - 02 Feb 2021
Cited by 92 | Viewed by 4327
Abstract
The rapid growth of negative consequences from climate changes provokes divergent effects in all economic sectors. The experts proved that a core catalyst which bootstrapped the climate changes was greenhouse gas emission. This has led to a range of social, economic, and ecological [...] Read more.
The rapid growth of negative consequences from climate changes provokes divergent effects in all economic sectors. The experts proved that a core catalyst which bootstrapped the climate changes was greenhouse gas emission. This has led to a range of social, economic, and ecological issues. Such issues could be solved by extending innovation and information technology. This paper aimed to check the hypothesis that innovation and information technology allowed for a reduction of greenhouse gas emissions. The author used such methodology as OLS, fully modified OLS (FMOLS), dynamic OLS (DMOLS), Dicky-Fuller and Phillips-Perron tests. The research is informed by the report of the World Economic Forum, World Data Bank, Eurostat for the Visegrád countries (Hungary, Poland, Check Republic, Slovakia) for the period of 2000–2019. The findings were confirmed in models without control variables, and an increase of 1% of patents led to reducing greenhouse gas (GHG) emissions by 0.28% for Poland, 0.28% for Hungary, 0.38% for the Slovak Republic and 0.46% for the Czech Republic. At the same time, for the models with control variables, only Hungary experienced a statistically significant impact. There, an increase of patents by 1% led to reduction of GHG emissions by 0.22%. The variable R&D expenditure was statistically significant for all countries and all types of models (with and without control variables). The increase of R&D expenditure provoked a decline of GHG emissions by 0.29% (without control variables) and 0.11% (with control variables) for Poland, by 0.26% (without control variables) and 0.41% (with control variables) for Hungary, by 0.3% (without control variables) and 0.23% (with control variables) for the Slovak Republic and by 0.54% (without control variables) and 0.38% (with control variables) for the Czech Republic. Full article
(This article belongs to the Special Issue Trends in Information Technology)
23 pages, 1235 KiB  
Article
Infrastructural and Social Aspects of ICT Dissemination in Rural Areas in Ukraine in Juxtaposition with Other Post-Transition Countries—State of Play and Prospects for Rural Development
by Aleksandra Synowiec
J. Risk Financial Manag. 2021, 14(1), 16; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm14010016 - 01 Jan 2021
Cited by 6 | Viewed by 3585
Abstract
The objective of this study is to identify the current state of, and the prospects for, information and communication technologies (ICT) dissemination in rural areas in Ukraine in juxtaposition with other post-transition countries. The spread of ICT is discussed within the frame of [...] Read more.
The objective of this study is to identify the current state of, and the prospects for, information and communication technologies (ICT) dissemination in rural areas in Ukraine in juxtaposition with other post-transition countries. The spread of ICT is discussed within the frame of economic, infrastructural, and social factors affecting rural areas in Ukraine since the post-communist transition period. Information and communication technologies may support the socio-economic development of peripheral areas in many ways—including rural ones. Dissemination of ICT contributes to the emergence of sources of income, equalizes education opportunities, and increases the attractiveness of rural areas. However, the rural—urban divide in the countries of Central and Eastern Europe and other former USSR countries is still remarkable and, as a type of structural inequality, should be better recognized. The source material is based on secondary data, which consists of selected literature on the subject of rural development in Central and Eastern European Countries, strategic documents, available reports and studies of international institutions, research from agencies, state documents and statistics, and research conducted by international and domestic NGOs. In reference to the paper’s objective, the method of content analysis was employed. Dissemination of ICT in rural areas in Ukraine is influenced by two groups of factors. The infrastructural divide concerning Internet access between rural and urban populations in Ukraine has been diminishing, but the issue of structural exclusion due to place of residence has still not been solved. As far as the social aspects of ICT dissemination in rural areas in Ukraine are concerned, the level of digital literacy among rural dwellers is significantly lower in comparison to urban residents. Rural areas are more exposed to the consequences of various aspects of digital exclusion. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

11 pages, 603 KiB  
Article
Lack of Uniformity in the Israeli Property Tax System 1997–2017
by Avi Perez
J. Risk Financial Manag. 2020, 13(12), 327; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13120327 - 21 Dec 2020
Cited by 1 | Viewed by 2151
Abstract
There are two different forms of property tax systems: value-based tax, which is used in most countries of the world, and area-based tax, which is used mainly in Central and Eastern Europe and developing countries in Africa. Area-based property tax provides more stable [...] Read more.
There are two different forms of property tax systems: value-based tax, which is used in most countries of the world, and area-based tax, which is used mainly in Central and Eastern Europe and developing countries in Africa. Area-based property tax provides more stable and predictable budget revenues. It is simpler to administer and scores worse on equity grounds from the perspective of the ability-to-pay principle of taxation. Against this background, Israel’s property tax system, known as Arnona, is complex, spatially diversified, and causes a lack of uniformity that leads to tax distortion. This paper’s primary purpose is to identify the weaknesses of Israeli property tax from 1997 to 2017 and indicate how to improve the property tax system. This paper is based on case studies from four of the most important cities in Israel: Tel Aviv, Jerusalem, Haifa, and Beersheba, which have four different measurement methods for calculating property tax. Unique data were collected from the Israel Central Bureau of Statistics. According to this analysis, it was found that there are substantial differences in property tax between the four cities over the two decades analyzed. The main weakness is the lack of uniformity of the taxation system; the solution is to unify the measurement of real estate area for tax purposes using drone technology. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

13 pages, 643 KiB  
Article
The Role of Educational Technologies in CSR Perception of Tourism Education: The Comparative Analysis of E-Learning and M-Learning Tools as Moderators
by Basil John Thomas, Tarek Khalil and Nisha Joseph
J. Risk Financial Manag. 2020, 13(12), 318; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13120318 - 11 Dec 2020
Cited by 2 | Viewed by 2784
Abstract
The aim of this study is to investigate the effect of educational technologies on the Corporate Social Responsibility (CSR) perception of tourism students and their intention to work in the tourism business industry. By improving education programs with an investment in educational technologies, [...] Read more.
The aim of this study is to investigate the effect of educational technologies on the Corporate Social Responsibility (CSR) perception of tourism students and their intention to work in the tourism business industry. By improving education programs with an investment in educational technologies, both universities and firms are believed to benefit from growing CSR initiatives, as well as potential young talents for their future business activities. Four-dimensional (economic, legal, ethical and philanthropic dimensions) model of CSR perception is followed. M-learning and E-learning platforms are compared as moderators to ensure the most effective platform for CSR education among the students. The study is conducted with data which is gathered from a total of 397 students who continue their bachelor and associate degrees in different universities in the Gulf nations. It is found that there is a positive relationship between students’ intention to work in the industry and the sub-dimensions of CSR, namely ethical responsibilities, legal responsibilities, and economical responsibilities. Conversely, philanthropic responsibilities had no effect on working intention. In addition, gender difference had no significant impact on working intention of the students in tourism industry. Moreover, it is revealed that e-learning tools are more effective in CSR education. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

13 pages, 589 KiB  
Article
A System to Support the Transparency of Consumer Credit Offers
by Bożena Frączek
J. Risk Financial Manag. 2020, 13(12), 317; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13120317 - 10 Dec 2020
Cited by 2 | Viewed by 2482
Abstract
The development of financial markets and the low level of financial literacy does not facilitate consumer protection. A significant problem is the lack of information or unclear information regarding financial offers, including consumer credit. Financial protection for consumers can be increased by using [...] Read more.
The development of financial markets and the low level of financial literacy does not facilitate consumer protection. A significant problem is the lack of information or unclear information regarding financial offers, including consumer credit. Financial protection for consumers can be increased by using systems that support consumers faced with a lack of transparency of consumer credit offers. The theoretical objective of the research is to identify the completeness of information allowing for verifying the annual percentage rate (APR) in the consumer credit offers presented and compared on websites of financial intermediaries and banks as well as the identify of APR calculation methods. After analysis of different credit offers (document analysis), a prototype of the system regarding credit costs measured at the appropriate interest rates (APR and AER) calculated in the correct manner was created. This may facilitate practices for informing consumers about the characteristics of consumer credit and at the same time support the implementation of the concept of responsible lending. The system developed uses a computer to simulate human thinking and to augment it with artificial intelligence. It facilitates the elimination the behavioral biases during the taking of financial decisions, which are the result of a low level of financial literacy. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

18 pages, 2386 KiB  
Article
International Tourism Development in the Context of Increasing Globalization Risks: On the Example of Ukraine’s Integration into the Global Tourism Industry
by Yurii Kyrylov, Viktoriia Hranovska, Viktoriia Boiko, Aleksy Kwilinski and Liudmyla Boiko
J. Risk Financial Manag. 2020, 13(12), 303; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13120303 - 01 Dec 2020
Cited by 44 | Viewed by 10829
Abstract
Today, international tourism is one of the most affected sectors of the economy due to the global COVID-19 pandemic. The main purpose of this article is to analyze current trends and identify prospects for the international tourism development in the context of increasing [...] Read more.
Today, international tourism is one of the most affected sectors of the economy due to the global COVID-19 pandemic. The main purpose of this article is to analyze current trends and identify prospects for the international tourism development in the context of increasing globalization risks in the world, using the example of Ukraine’s integration into the global tourism industry, as Ukraine is located in the centre of Europe and belongs to a number of countries with developing economies, and has the potential to expand its tourism industry, which may be of interest to the international scientific community in terms of overcoming the bifurcation point of its economic development. Analyzing the tourism industry, as one of the most progressive sectors of the world economy, we used general scientific and special research methods (abstract-logical, statistical, systemic analysis and synthesis, abstract-theoretical, and correlation-regression analysis). The paper analyzes major indexes of international tourism development in the modern globalized world and details the risks emerging during the global COVID-19 pandemic. It examines the global dynamics of tourism flows, where France, Spain, and the USA are unquestionable leaders. The study considers foreign exchange earnings of international tourism and the industry contribution to the gross domestic product of countries being an essential component of national budgets. Based on the study conducted, there were developed reliable forecast models for the tourism industry development in the countries under research. These models will provide an opportunity to generate reliable forecasts, which will allow timely identification of potential threats and making effective decisions to address them. At the same time, the issues of managing information support of economic entities in the field of international tourism need to be further developed in order to reduce risks. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

24 pages, 959 KiB  
Article
Application of Genetic Algorithm to Optimal Income Taxation
by Edyta Małecka-Ziembińska and Radosław Ziembiński
J. Risk Financial Manag. 2020, 13(11), 251; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13110251 - 23 Oct 2020
Cited by 1 | Viewed by 2345
Abstract
This paper, intended for researchers, introduces a stochastic method for calculating the optimal tax schedule based on taxpayer utility, population skill distribution, and wages. It implements and extends the classic approach to optimal income tax calculation introduced by J.A. Mirrlees. A genetic algorithm [...] Read more.
This paper, intended for researchers, introduces a stochastic method for calculating the optimal tax schedule based on taxpayer utility, population skill distribution, and wages. It implements and extends the classic approach to optimal income tax calculation introduced by J.A. Mirrlees. A genetic algorithm is applied instead of the numerical or analytical method of solving the problem. In the experimental part of the article, we took basic statistics for Germany in 2017 to infer about the distribution skills and wages of the working population. Their aim was to verify whether our approach would give similar results to those known from the literature on the subject. Thus, we have calculated the impact of the taxpayer attitude to work and budget external flows on the income tax schedule. Then, we measured the convergence of the search process across multiple runs of the algorithm. Analysis of obtained results brought us to the conclusion that they are similar to one known from the literature. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

20 pages, 757 KiB  
Article
Tools of Information and Communication Technologies in Ecological Marketing under Conditions of Sustainable Development in Industrial Regions (Through Examples of Poland and Ukraine)
by Aleksandra Kuzior and Alla Lobanova
J. Risk Financial Manag. 2020, 13(10), 238; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13100238 - 12 Oct 2020
Cited by 22 | Viewed by 3609
Abstract
This scientific work analyzes the current state and problems of implementing the concept of sustainable development in industrial regions, in particular, in Poland and Ukraine. Emphasis is placed on slowing down the implementation of the main provisions of this doctrine, in particular, the [...] Read more.
This scientific work analyzes the current state and problems of implementing the concept of sustainable development in industrial regions, in particular, in Poland and Ukraine. Emphasis is placed on slowing down the implementation of the main provisions of this doctrine, in particular, the violation of environmental requirements and non-compliance with ecological standards by industrial enterprises. The aim of the article is to find effective innovative tools for intensifying the process of implementing the strategy of sustainable development in industrial regions. The paper uses theoretical methods—analysis and synthesis, formalization, hypothetical-deductive modeling, mental modeling, systematization and generalization—as well as empirical: observation, description and comparison. The main result of the work is the substantiation of the scientific idea that the implementation of a sustainable development strategy in industrial regions is possible by intensifying the process of ecological marketing through the use of new information and communication technologies (ICT) and their innovative tools—methodologies, digital systems, the Internet, cloud technologies, and systems of product design, manufacture and sale—due to accelerated communication links. The authors’ approach to the development of the mechanism of creation and functioning of the single information space (field) of the ecological marketing of the industrial region is offered in this work, and also, the classification of modern ICT and their tools, which it is expedient to use in this mechanism, is carried out. Their purpose and the expected results from the introduction of ecological products for market research, the development of ecological technologies for the life cycles of ecological products and, thus, the impact on the acceleration of sustainable development in industrial regions are determined. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Graphical abstract

14 pages, 447 KiB  
Article
Digitalization of the EU Economies and People at Risk of Poverty or Social Exclusion
by Aleksy Kwilinski, Oleksandr Vyshnevskyi and Henryk Dzwigol
J. Risk Financial Manag. 2020, 13(7), 142; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13070142 - 02 Jul 2020
Cited by 102 | Viewed by 9479
Abstract
Despite the fact that a comprehensive analysis of digitalization processes in the EU member states has been carried out, the impact of a country’s digitalization level on the risks of poverty and social exclusion requires further investigation. The purpose of the paper is [...] Read more.
Despite the fact that a comprehensive analysis of digitalization processes in the EU member states has been carried out, the impact of a country’s digitalization level on the risks of poverty and social exclusion requires further investigation. The purpose of the paper is to verify a hypothesis that a higher level of national digitalization provides positive trends in reducing the risks of poverty and social exclusion for the population. The Digital Economy and Society Index (DESI) was used to evaluate the digitalization levels of the EU countries. The indicator “People at risk of poverty or social exclusion” (AROPE) was applied to estimate the poverty level. As the main research methods, the authors used a comparative and correlation analysis with respect to the above-mentioned indicators, as well as the Monte Carlo method in order to evaluate the probability of a change in the indicator “population at risk of poverty or social exclusion” in 2021. The EU countries with higher digitalization levels have a lower percentage of the population at risk of poverty and social exclusion. However, a higher digitalization level of the EU member states does not provide an accelerated risk reduction of poverty and social exclusion. Statistical calculations with respect to the entire population of these countries mainly indicate reverse processes. At the same time, a further reduction of poverty and social exclusion level is less probable in the countries with a higher level of digitalization. For relatively poor segments of the population (the 1st and 2nd quintiles by income) in the EU member states, the level of digitalization does not play a significant role. For relatively wealthy segments of the population (the 3rd and 4th quintiles by income) the authors noticed a pattern: the higher the level of digitalization is, the lower the risk of poverty and social exclusion becomes. A pairwise comparison of countries with initially similar AROPE values showed that in most cases (3 out of 5), the countries with higher levels of digitalization showed a more significant reduction in poverty and social exclusion. However, the probability of further positive changes in this area is higher for the countries with a lower level of digitalization. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

Review

Jump to: Research

14 pages, 292 KiB  
Review
Metatheoretical Issues of the Evolution of the International Political Economy
by Aleksy Kwilinski, Nataliya Dalevska and Vyacheslav V. Dementyev
J. Risk Financial Manag. 2022, 15(3), 124; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm15030124 - 05 Mar 2022
Cited by 59 | Viewed by 3214
Abstract
The topicality of the international political economy is determined by the complexity and dynamism of transformation processes in the world economic system, which are developing through information networks and financial technologies. The purpose of the article is to reveal the meta-theory elements of [...] Read more.
The topicality of the international political economy is determined by the complexity and dynamism of transformation processes in the world economic system, which are developing through information networks and financial technologies. The purpose of the article is to reveal the meta-theory elements of the international political economy in the context of their renewal in the context of the world economic system development in the wave of “information society”. To obtain scientifically sound results, the article uses the historical–logical method, the dialectical method of proceeding from the abstract to the concrete, institutional and evolutionary approaches. The article develops theoretical and methodological foundations for developing the international political economy. It is substantiated that the research agenda of the international political economy is characterized by socio-integrative trends of economic development in the global dimension. The interaction among actors of international relations is analyzed, and the structural components of their functional transformation under the conditions of integration processes advance within the world political and economic space are determined. It is concluded that the international political economy serves as a theoretical foundation, an integral general theoretical basis for establishing adaptive conceptual frameworks for building trust and solidarity among the subjects of the world economic system. Theoretical and methodological principles of the international political economy should be based on analyzing systemic and structural transformations of the world economic system; determining the criteria of social legitimacy of international authorities, based on the norms and values of social and environmental justice; and developing conditions for fulfilling the individual’s creative potential the field of world social capital. Full article
(This article belongs to the Special Issue Trends in Information Technology)
19 pages, 466 KiB  
Review
Is Artificial Intelligence Ready to Assess an Enterprise’s Financial Security?
by Oleksandr Melnychenko
J. Risk Financial Manag. 2020, 13(9), 191; https://0-doi-org.brum.beds.ac.uk/10.3390/jrfm13090191 - 21 Aug 2020
Cited by 55 | Viewed by 8671
Abstract
This study contributes to the literature on financial security by highlighting the relevance of the perceptions and resulting professional judgment of stakeholders. Assessing a company’s financial security using only economic indicators—as suggested in the existing literature—would be inaccurate when undertaking a comprehensive study [...] Read more.
This study contributes to the literature on financial security by highlighting the relevance of the perceptions and resulting professional judgment of stakeholders. Assessing a company’s financial security using only economic indicators—as suggested in the existing literature—would be inaccurate when undertaking a comprehensive study of financial security. Specifically, indices and indicators based on financial or managerial reporting calculated at any particular point in time, provide only a superficial understanding—and may even distort the overall picture. It has also been suggested that expert assessment is the most objective method, although it has disadvantages related to individual cognitive limitations. These limitations are not particular to artificial intelligence, which could assess an enterprise’s financial security in a less biased way. However, by only imitating human behavior, it is not able to perceive and evaluate with intuition the dynamics of the company’s development and holistically assess the financial condition—despite the possibility of learning and forecasting—because artificial intelligence is not able to think and predict, which, in an enterprise, is the most important skill of a manager. Therefore, the risk of developing artificial intelligence to assess a firm’s financial security lies in a biased assessment of the enterprise’s activities in general—and its financial security in particular. Full article
(This article belongs to the Special Issue Trends in Information Technology)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-18
Back to TopTop