Paulina Brożek

Doomscrolling as the compulsive, self-reinforcing consumption of negative online news – has emerged as a documented occupational behaviour with measurable consequences for employee psychological well-being and work engagement. Despite growing empirical attention, there is a lack of studies examining doomscrolling in manufacturing environments, where attentional failures carry direct and potentially irreversible safety consequences. This paper addresses that gap through a systematic literature review conducted in accordance with PRISMA 2020 guidelines, retaining sixteen studies spanning multiple countries for synthesis. Evidence is organised into three streams. The first establishes theoretical and contextual foundations of doomscrolling as an affect-driven subtype of cyberloafing shaped by algorithmic amplification and developmental factors. The second synthesises empirical evidence on psychological effects among working adults: across four independent samples, doomscrolling consistently predicted rumination, psychological distress, existential anxiety, and reduced work engagement, with a weighted effect size of d = 0.88 for the distress–anxiety pathway – a large effect appears notably larger than effect sizes commonly reported for general internet use at work, though direct comparison is constrained by construct heterogeneity. The third draws on bridge evidence from industrial settings linking problematic internet use and deviant cyberloafing to diminished safety behaviour in mining and healthcare contexts. A conceptual model integrating these pathways through Conservation of Resources Theory is proposed, identifying three parallel depletion mechanisms – rumination, attentional depletion, and psychological distress – that translate doomscrolling into reduced safety compliance, elevated human error, and productivity loss. Four empirical propositions are advanced to guide future research in manufacturing contexts.

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.

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.

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.

Improving energy management has received a lot of attention due to environmental issues, energy crises, and growing energy prices in today’s world. Various digital technologies have been developed to enhance energy management to cover these challenges. This article investigates Blockchain and Artificial Intelligence, which have recently attracted increasing attention. The study applies the software of VOSviewer for providing bibliometric analysis. The data (pull of the scientific documents) was generated from the Scopus and Web of Science. There have been done a critical analysis of the literature for evaluating the research in the proposed area. This paper focuses on possible use cases of blockchain and artificial intelligence technologies and considers aspects of technology used to achieve energy efficiency. The findings showed that the technologies are widely applied in energy management. Besides, it is lack of documents that contain the terms ‘energy efficiency and ‘blockchain’. The results of analysis confirm that artificial intelligence has been rapidly integrating with energy management, helping to develop more efficient and secure energy generation techniques.

The article summarizes the arguments and counterarguments in the scholarly discussion about the problem of choosing a model of healthcare organization. The study’s primary goal was to identify the economic efficiency of the public health system and resistance to COVID-19. The relevance of addressing this research issue is that the epidemiological challenges posed by the pandemic worldwide have manifested themselves differently in various countries. Therefore, it is advisable to consider the effectiveness of public healthcare models and how they have worked out in the fight against COVID-19. Research in the work was carried out in the following logical sequence: conducting scientometric analysis of research, creation of a statistical research base for 22 countries of the world; construction of integral indices of the economic efficiency of the health care system; calculation of public health system resilience to the COVID-19 pandemic; application of frontier DEA analysis to determine system efficiency; comparison and analysis of the results of research on the economic efficiency of public health systems obtained by different methods. The article presents the results of a comparison of the economic efficiency of the public health system, which showed that the system built according to the Beveridge principle is the most resistant to the pandemic and, at the same time, has the highest indices of economic 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’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.

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.

Context and purpose: This study focuses on identifying the current qualities of enhancing the action of intellectualization of human capital. The main purpose of the article is to identify relevant strategic benchmarks for the intellectualization of human capital in enterprises under conditions of innovative transformation. Research method: The methods of research are synthesis and analysis, used to identify trends in the processes of intellectualization of human capital on enterprises, factor analysis methods in combination with methods of expert evaluations, and other general scientific methods. Findings: The article offers, for the first time, a definition of the essence of intellectualization of human capital as a separate economic process, which is based on the renewal of competencies in accordance with the needs of enterprise development and includes the need for their up-to-date globalization and industry trends in the economy of the country. The relationship between the intellectualization of human capital and innovation has been defined. The influence of factors on the processes of intellectualization of human capital on enterprises in conditions of innovative transformations has been investigated. It was found that such factors are prerequisites for the formation of strategic guidelines for the development of the intellectualization of human capital. The main aspects of innovative transformations by identifying trends of intellectualization of Ukrainian human capital in the international space through the analysis of the Global Innovation Index have been investigated. Conclusion and innovation: Thus, the relationship between the intellectualization of human capital and innovation, which affects the sustainability of economic systems, was determined. According to the results of the study, the key directions of formation and development of strategic guidelines for the intellectualization of human capital of enterprises are proposed.

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. AcknowledgmentsThe study was funded by the Ministry of Education and Science of Ukraine and performed the results of the project “Economic and mathematical modeling and forecasting, development of methodological and methodological foundations for creating a roadmap for reforming the health care system in Ukraine, taking into account behavioral, social, economic and legal determinants” (Agreement БФ / 24-2021).This study received funding under the research subsidy of the Department of Applied Social Sciences of the Faculty of Organization and Management of the Silesian University of Technology for the year 2022 (13/020/BK_22/0072).