The aim of this article is to identify key factors shaping organizational agility as a determinant of the sustainable development of an organization in the conditions of Economy 5.0. The research used the survey method conducted in 2024 on a sample of 312 respondents. It analyzed the impact of decision-making processes, identification with the goals of the organization, tolerance of rapid changes, internal communication, internal motivation and implementation of the idea of work–life balance. Based on the results, an original mathematical model was constructed presenting the relationships between the analyzed variables. The research results confirmed a significant relationship between the level of organizational agility and the ability of the organization to implement the sustainable development strategy. It was identified that factors such as quick and accurate decision-making, strong identification of employees with the goals of the organization and efficient communication have the greatest impact on strengthening this ability. The limitation of the research was the homogeneity of the sample and the inability to fully take into account variables related to the industry and cultural context. The research highlights that enhancing organizational agility is crucial for achieving sustainable development and building lasting competitive advantage in the dynamic context of the Economy 5.0.

The article presents the results of the Polish research in 2014 and 2020 involving economic loss in enterprises due to employees' work disability due to road accidents. Road safety is one of the most essential global declines in social health, but marginal external road transport costs are not easy to measure. Typically, the aspect of risk in road safety in the operations of enterprises is viewed in the context of transport or logistic companies. However, the risk of becoming a road accident victim is not limited to fleet drivers. Better information about employee road accident costs needs to be provided in the literature. The Polish research shows that employees' work disability due to road accidents is extremely costly, often more than one would expect. A decrease in the risk of death in road safety in Poland in 2014-2019 did not reduce the costs to enterprises, which grew from PLN 1.1 million to PLN 1.6 million. Management of economic loss in enterprises due to road accidents is essential not only from the financial point of the organisation but also from the idea of corrective instruments to equate marginal social costs with marginal social benefits of transport The results of the conducted research bridge the research gap, vital from the point of view of community and corporate operations, regarding the volume of losses of enterprises due to employee turnover due to road accidents, which are likely to affect any. Further research should aim at specific conditions of minimizing employer losses discussed here, e.g. in the area of health policy improvement, which would allow a faster personal and professional recovery. The issue of the employer's employee social policy regarding creating suitable conditions for taking out life insurance is crucial. Ultimately, it is worth looking closer at employees' willingness to buy insurance coverage if the risk of a loss of life or health due to a road accident is real and substantial. Moreover, results show the critical direction for business – corporate social responsibility for road safety. It is warranted that further research should focus on recognizing and enhancing this role.

The article addresses the problem of the insufficient empirical recognition of the determinants of trust in artificial intelligence (AI) algorithms in organizations operating under conditions of sustainable development. The aim of the study was to identify the factors shaping organizational trust in AI and to examine how perceived trustworthiness, transparency, and effectiveness of algorithms influence their acceptance in the work environment. The research was conducted using a quantitative survey-based approach among organizational employees, which enabled the analysis of relationships between key variables and the identification of factors that strengthen or limit trust. The results indicate that algorithmic transparency, the reliability of generated outcomes, and the perceived effectiveness of AI applications significantly foster trust, whereas concerns related to errors and the decision-making autonomy of systems constitute important barriers to acceptance. Based on the findings, a conceptual and exploratory model of trust in AI was proposed, which may be used to diagnose the level of technology acceptance and to support the responsible implementation of artificial intelligence-based solutions in organizations. The contribution of the article lies in integrating organizational and technological perspectives and in providing an empirical approach to trust in AI within the context of sustainable development.

This study examines the use of artificial intelligence (AI) in organizational decision-making processes (DMPs) related to investments in renewable energy sources (RESs). The research addresses the gap between AI’s technological capabilities and its actual application in investment practice. An empirical two-stage survey was conducted in 2025, and a comparative analysis was conducted to assess the stability of attitudes toward AI adoption. The findings indicate a low level of practical implementation of AI tools in investment decision-making, despite a clear perception of their potential usefulness, particularly for risk analysis and improving decision objectivity. Organizations tend to perceive AI primarily as analytical support rather than an autonomous decision-making mechanism. The results also reveal a persistent level of uncertainty and hesitation associated with trust in AI systems. Comparative analysis confirms that these attitudes remain stable across research stages, suggesting structural rather than temporary barriers to adoption. This study demonstrates that limited adoption of AI in renewable energy investment decisions results mainly from organizational readiness and trust-related factors rather than technological constraints. The paper contributes empirical evidence on the behavioral and organizational determinants of AI implementation in the context of sustainable energy transition.

Purpose: The aim of the article is to present a balance of benefits and risks related to the use of renewable energy sources in agile organizations and to identify dominant social attitudes towards such solutions. The analysis is set in the context of the growing importance of sustainable development and energy transformation. Design/methodology/approach: A quantitative method was used, based on a survey conducted among 820 respondents in January–February 2025. The data was subjected to multivariate correspondence analysis (MCA), which allowed for visualization of relationships between responses and extraction of patterns of assessments. Findings: Respondents mostly positively assess the impact of renewable energy sources on the environment, climate, job market and energy independence, while expressing moderate concerns about costs and uncertainty about potential side effects. MCA analysis revealed a convergence of positive attitudes and a dispersion of critical assessments. Research limitations/implications: The study was cross-sectional and relied on declarative opinions of respondents, which limits the ability to capture changes in attitudes over time. The industry and geographic specificity of the organizations surveyed was also not taken into account. Practical implications: The study was cross-sectional and based on respondents' declarative opinions, which limits the ability to capture changes in attitudes over time. The industry and geographical specificity of the organizations studied was also not taken into account. Social implications: The article highlights the importance of social acceptance for the development of renewable energy sources and the need to support energy transformation through dialogue, education and transparency. Originality/value: The study brings new value by combining the perspective of organizational agility with the issue of renewable energy sources, pointing out their potential synergy and impact on the sustainable development strategy. Keywords: agile organizations, renewable energy sources, sustainable development. Category of the paper: research paper.

Purpose: The aim of this study was to assess the use and perception of e-health systems by older people during the COVID-19 pandemic in Poland. Design/methodology/approach: A survey was conducted with 50 respondents. Descriptive statistics and statistical graphs were used to describe older people's use and perception of e-health systems. This is the pilot study. Findings: One-way ANOVA and chi-square test were used to analyse the relationship between e-health use and various characteristics of respondents, including information regarding communication technology (ICT) access, age, health status, marital status, and education level. Older people, less educated, and with more medical problems are less likely to use e-health. Research limitations/implications: Most of the ANOVA assumptions have been met. Practical implications: The COVID-19 pandemic limited face-to-face treatment, making remote medical care more widespread. Social implications: The use of electronic health (e-health) systems is now becoming more and more popular as it is believed that it can help improve access to medical care. Originality/value: This study examined the determinants of e-health use among older people in Poland. The level of use of e-health by respondents varied in terms of socio-demographic and health aspects. We found that age, education, marital status and health status, among others, influence the likelihood that an older person will use ICT tools for healthcare purposes. Keywords: modern technologies, e-health use, elderly people, Covid-19. Category of the paper: Research paper.