Changes in the system of country’s population health care depending on the level of providing affordable housing

This paper is devoted to providing affordable housing as a significant factor in public health management, inclusive growth, and SDG. The purpose is to empirically prove changes in the system of country's population health care depending on the level of providing affordable housing. The empirical base includes time series and panel data for 27 EU countries during 2011-2019. Due to correlation analysis (Shapiro-Wilk testing, Spearman or Pearson correlation, lags in time), regression analysis, and building a dynamic panel estimation model with Sargan testing in STATA, the study empirically confirmed and formalized the impact of affordable housing funding on changes in the system of country’s population health care. In particular, the study found the dependence between overcrowding level and the share of homeowners with mortgages (a decrease of overcrowding level by an average of 0.61% with a time lag of 2 years due to an increase by 1%); the share of tenants on concessional terms/free (0.41% with a time lag of 3 years); and the share of public spending on housing development (0.25% with a time lag of 3 years). The direct relationship between the overcrowding and mortality from dangerous diseases (tuberculosis, AIDS, viral hepatitis, mental and behavioral disorders, diabetes, pneumonia) was also revealed. Public spending on housing under social protection programs (subsidies, etc.) proved to be the least effective. Preference should be given to the development of affordable mortgage lending (faster and greater effect). Generally, it impacts public management decisions in the health care system, social, and housing spheres

Use of Artificial Intelligence in Terms of Open Innovation Process and Management

Organizations see open innovation as important to their future growth strategy. The increasing interest in artificial intelligence has led to a heightened interest in its potential applications in many industries. Many firms invest heavily in artificial intelligence intending to innovate their business models, though managers often lack understanding when trying to implement artificial intelligence in their operations. The data was retrieved from the Scopus database and was analyzed using the R Bibliometrix Biblioshiny and VOSviewer software. The aim of the article is to indicate the consistency in the formation of open innovation processes while applying artificial intelligence and to provide the profile of perspectives on artificial intelligence adoption in innovation management. This paper provides a deeper perception of artificial intelligence and how it can be used to drive open innovation processes and business model innovation within the use of artificial intelligence in open innovation processes and artificial intelligence in the management of open innovation. The authors discuss how recent advances in artificial intelligence have created new opportunities for increased external collaboration. The study found that the rise of artificial intelligence as a key technology for promoting openness and collaboration has ushered in a new era of achievable open innovation. Our presented findings suggest the sequence of open innovation processes powered by artificial intelligence and insights into the artificial intelligence application to innovation management

Acute health effects of heated tobacco products: comparative analysis with traditional cigarettes and electronic cigarettes in young adults

Background Heated tobacco products (HTPs) were designed to deliver nicotine by heating the tobacco instead of burning it. This study aimed to examine the acute health effects on the respiratory and cardiovascular systems during the use of HTPs and compare these effects with acute health effects evoked by cigarette smoking or electronic cigarettes (e-cigarettes). Methods The study group comprised 160 healthy young adults (age 23 years; quartile 1 (Q1) 21 years; quartile 3 (Q3) 26 years) with both sexes divided into groups according to their smoking status: 40 HTP users (H group), 40 traditional cigarette smokers (T group), 40 e-cigarette users (E group) and 40 non-smokers (C group). Heart rate, blood pressure, oxygen saturation, exhaled nitric oxide fraction (FENO), carbon monoxide concentration, temperature of exhaled air and spirometry were measured three times: initially, immediately after the exposure, and after 30 min. The exposure differed depending on smoking status: heating HTP, smoking a cigarette, using an e-cigarette and simulation of smoking. Results After 5 min of exposure, a significant decrease in FENO was observed in the H and E groups, from 12.8±5.5 ppb to 11.2±5.3 ppb in the H group and from 16.9±6.5 ppb to 14.2±6.8 ppb in the E group (p<0.01). A slight but statistically significant increase in the temperature of exhaled air after 30 min was observed in groups T and E, from 34.1°C (Q1 33.6°C; Q3 34.4°C) to 34.4°C (Q1 34.1°C; Q3 34.6°C) (p=0.02) in the T group and from 34.2°C (Q1 33.9°C; Q3 34.5°C) to 34.4°C (Q1 33.8°C; Q3 34.6°C) (p<0.01) in the E group. A significant increase in heart rate and blood pressure was observed in the T, E and H groups. Only cigarette smoking increased carbon monoxide levels (p<0.01). Conclusions The use of HTPs elicits acute respiratory and cardiovascular health effects

Innovative development of circular systems while ensuring economic security in the industry

This article is devoted to the formation of methodological foundations of the circular economy on the safety of industrial enterprises. The dependence of the system of economic security from the circular economy concept is implemented by the 3 R model. The model is based on the consistency of quantitative, value and normative indicators. These indicators together allow a comprehensive analysis of the dynamics and direction of the process of implementation of technologies of circular use of resources. The main factors of influence of the circular economy concept on the security of industrial enterprises are resource provision, secondary use of materials and results. To establish the sequence of analysis, we used the mathematical toolkit of factor analysis based on determining the set of factors and their forming indicators. The conducted assessment of the impact of the circular economy concept on the system of economic security of industrial enterprises allows us to state the monopoly of individual sectors of industry, and shows the overall picture of dependence without a position on the level of technology renewal and eco-innovation of production support technologies

Innovative Development of Circular Systems While Ensuring Economic Security in the Industry

This article is devoted to the formation of methodological foundations of the circular economy on the safety of industrial enterprises. The dependence of the system of economic security from the circular economy concept is implemented by the 3 R model. The model is based on the consistency of quantitative, value and normative indicators. These indicators together allow a comprehensive analysis of the dynamics and direction of the process of implementation of technologies of circular use of resources. The main factors of influence of the circular economy concept on the security of industrial enterprises are resource provision, secondary use of materials and results. To establish the sequence of analysis, we used the mathematical toolkit of factor analysis based on determining the set of factors and their forming indicators. The conducted assessment of the impact of the circular economy concept on the system of economic security of industrial enterprises allows us to state the monopoly of individual sectors of industry, and shows the overall picture of dependence without a position on the level of technology renewal and eco-innovation of production support technologies

Countering Cybercrime Risks in Financial Institutions: Forecasting Information Trends

This article aims to forecast the information trends related to the most popular cyberattacks, seen as the cyber-crimes&rsquo; consequences reflecting on the Internet. The study database was formed based on online users&rsquo; search engine requests regarding the terms &ldquo;Cyberattacks on the computer systems of a financial institution&rdquo;, &ldquo;Cyberattacks on the network infrastructure of a financial institution&rdquo;, and &ldquo;Cyberattacks on the cloud infra-structure of a financial institution&rdquo;, 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&rsquo; 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&rsquo;s financial system in the short and medium term and develop appropriate countermeasures of a financial institution to reduce potential financial losses

Global Digital Convergence: Impact of Cybersecurity, Business Transparency, Economic Transformation, and AML Efficiency

The article substantiates the existence of convergence processes in the field of digitization of countries, taking into account the number of Internet users; people with advanced skills; and indicators of infrastructure (network coverage, population covered by at least a 3G mobile network, population covered by at least a 4G mobile network), access (access to ICT at home, active mobile broadband subscriptions, fixed broadband subscriptions), enablers (fixed broadband over 10 Mbps, mobile data and voice basket, high consumption) and barriers (improved broadband access from 256 kbps to 2 Mbps and from 2 Mbps to 10 Mbps mobile data and voice basket, low consumption) of digital development. The methodological basis for determining the sigma convergence of digitization processes is the coefficient of variation. The values of the coefficient of variation confirmed the high level of convergence between the studied countries in terms of the degree of use of the Internet for conducting digital transactions. The developed econometric model, which describes the influence of statistically significant integral indicators of the national cybersecurity level, ease of doing business, and the anti-money laundering index on the country&rsquo;s digital development level, made it possible to determine the average trend of dependence on the level of digital development. One hundred four countries were considered for the analysis. The conducted study of the impact of digitalization on economic transformations based on developed quantile regressions made it possible to analyze exactly how the level of digital development for countries with a high level of digitalization and for countries with a low level of digitalization development depends on the value of the national cybersecurity indicator and the ease of doing business, and which countries have the least resistance to the risk factors of their involvement in fraudulent schemes for the purpose of legalizing criminal income

Company Cybersecurity System: Assessment, Risks and Expectations

The consequences of Industry 4.0 have adverse side effects on cybercrime growth, which requires creating an effective cybersecurity system for companies. Therefore, this study aims to develop a composite indicator of company cybersecurity to assess its development needs. For this purpose, the authors modified Porter’s method by constructing a superposition matrix based on the growth rates of cyber threats and risks, calculating their quantitative characteristics and a composite indicator. The computations are based on indicators for 2016-2022 characterizing cybersecurity vulnerabilities and the consequences of cyber threats: the share of companies experiencing one, six or more successful cyberattacks, considering the likely and very likely success of cyberattacks on them in the next 12 months, security threat and concern indices, the share of companies with a growing security budget affected by ransomware and experiencing a shortage of skilled IT security personnel, the cost of stolen or compromised credentials. As a result, cybersecurity needs increased significantly for 2020-2022, mainly due to digital transformation and the cyber threats growth after the COVID-19 pandemic. A comparative analysis of the proposed indicator with those characterizing the development of Industry 4.0 showed that the need for a reliable cybersecurity system is much more important than the active development of modern technologies. Spending on IT is also increasing, but not enough to meet the needs of cybersecurity development, except for the 2022 results. The proposed indicator is defined for companies worldwide, but its versatility allows the methodology to be applied to enterprises of various industries and sizes

Resilience of Smart Cities to the Consequences of the COVID-19 Pandemic in the Context of Sustainable Development

The development of digital technologies is one of the factors influencing the cities’ readiness for the COVID-19 breakout. The purpose of this article is to assess cities’ resilience to the COVID-19 pandemic depending on the “smart” level criteria. The article uses the following research methods: (1) bibliometric analysis to identify the main directions of scientific research regarding “COVID-19” and “smart city” in Scopus publications for 2019–2022; (2) k-means clustering method to identify common patterns among smart cities regarding their readiness and responsiveness to COVID-19; (3) correlation analysis to identify the relationships between smart city performance indicators and COVID-19 severity in these cities. The Smart City Index 2021 was a key criterion for classifying a city as smart for this study. The correlation analysis included two stages: (1) correlation analysis of the Smart City Rank and indicators of COVID-19 readiness and responsiveness; (2) correlation analysis of the Smart City Rank and its health care components and COVID-19 severity indicators. According to the study results, smart cities demonstrated higher COVID-19 readiness and lower COVID-19 fatality rates. However, they lag behind in terms of resilience and sustainability of their health care systems

Resilience of Smart Cities to the Consequences of the COVID-19 Pandemic in the Context of Sustainable Development

The development of digital technologies is one of the factors influencing the cities&rsquo; readiness for the COVID-19 breakout. The purpose of this article is to assess cities&rsquo; resilience to the COVID-19 pandemic depending on the &ldquo;smart&rdquo; level criteria. The article uses the following research methods: (1) bibliometric analysis to identify the main directions of scientific research regarding &ldquo;COVID-19&rdquo; and &ldquo;smart city&rdquo; in Scopus publications for 2019&ndash;2022; (2) k-means clustering method to identify common patterns among smart cities regarding their readiness and responsiveness to COVID-19; (3) correlation analysis to identify the relationships between smart city performance indicators and COVID-19 severity in these cities. The Smart City Index 2021 was a key criterion for classifying a city as smart for this study. The correlation analysis included two stages: (1) correlation analysis of the Smart City Rank and indicators of COVID-19 readiness and responsiveness; (2) correlation analysis of the Smart City Rank and its health care components and COVID-19 severity indicators. According to the study results, smart cities demonstrated higher COVID-19 readiness and lower COVID-19 fatality rates. However, they lag behind in terms of resilience and sustainability of their health care systems