Special Issue "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: 31 August 2021.

Special Issue Editors

Prof. Dr. Aleksy Kwilinski
Website
Guest Editor
The London Academy of Science and Business, 3rd Floor, 120 Baker Street, London, W1U 6TU, UK
Interests: virtual economy; information economy; digital economy; artificial intelligence; reflexive management; cognitive technology in strategic management; industry 4.0; smart city
Special Issues and Collections in MDPI journals
Prof. Dr. Aleksandra Kuzior
Website
Guest Editor
Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, 26-28 Roosevelt Street, Zabrze, 41-800, 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 and Collections in MDPI journals
Prof. Dr. Oleksii Lyulyov
Website
Guest Editor
Marketing Department, Sumy State University, 2 Rymskogo Street, Sumy, 40007, Ukraine
Interests: digital marketing; artificial intelligence in marketing; innovative development; sustainable economic development; strategy development; modelling and forecasting development trends
Special Issues and Collections 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.

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 papers will be 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 1200 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 (9 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

Open AccessArticle
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
J. Risk Financial Manag. 2021, 14(1), 16; https://doi.org/10.3390/jrfm14010016 - 01 Jan 2021
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

Open AccessArticle
Lack of Uniformity in the Israeli Property Tax System 1997–2017
J. Risk Financial Manag. 2020, 13(12), 327; https://doi.org/10.3390/jrfm13120327 - 21 Dec 2020
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

Open AccessArticle
The Role of Educational Technologies in CSR Perception of Tourism Education: The Comparative Analysis of E-Learning and M-Learning Tools as Moderators
J. Risk Financial Manag. 2020, 13(12), 318; https://doi.org/10.3390/jrfm13120318 - 11 Dec 2020
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

Open AccessArticle
A System to Support the Transparency of Consumer Credit Offers
J. Risk Financial Manag. 2020, 13(12), 317; https://doi.org/10.3390/jrfm13120317 - 10 Dec 2020
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

Open AccessArticle
International Tourism Development in the Context of Increasing Globalization Risks: On the Example of Ukraine’s Integration into the Global Tourism Industry
J. Risk Financial Manag. 2020, 13(12), 303; https://doi.org/10.3390/jrfm13120303 - 01 Dec 2020
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

Open AccessArticle
Application of Genetic Algorithm to Optimal Income Taxation
J. Risk Financial Manag. 2020, 13(11), 251; https://doi.org/10.3390/jrfm13110251 - 23 Oct 2020
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

Open AccessArticle
Tools of Information and Communication Technologies in Ecological Marketing under Conditions of Sustainable Development in Industrial Regions (Through Examples of Poland and Ukraine)
J. Risk Financial Manag. 2020, 13(10), 238; https://doi.org/10.3390/jrfm13100238 - 12 Oct 2020
Cited by 1
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

Open AccessArticle
Digitalization of the EU Economies and People at Risk of Poverty or Social Exclusion
J. Risk Financial Manag. 2020, 13(7), 142; https://doi.org/10.3390/jrfm13070142 - 02 Jul 2020
Cited by 9
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

Open AccessReview
Is Artificial Intelligence Ready to Assess an Enterprise’s Financial Security?
J. Risk Financial Manag. 2020, 13(9), 191; https://doi.org/10.3390/jrfm13090191 - 21 Aug 2020
Cited by 1
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

Back to TopTop