The study mainly aims to learn about job candidates’ characteristics that influence the declared levels of their general skills (G). The set of characteristics examined included common skills (C) , professional skills (P) and other economic and social characteristics of candidates. In this context, it is essential to observe the required knowledge and core skills on the market and to make this knowledge available to decision-makers from public institutions, entrepreneurs and educational institutions. The main research objective is also related to verifying the method used to analyse large multi-dimensional databases of competencies that can be used to improve vocational education and its fit to the labour market. An additional objective of the study is also to find the relationship between the characteristics of the offers (the time of visibility and publication of offers, the distance of the job from the place of residence) and the grouping of competencies in individual professions and occupational groups. It is linked to another problem: identifying factors that influence the design and availability of employee competencies. MARS and CMARS methods were used as neutral computing methodologies to determine the relationship between the response variable (G) and the input variables. Their use allows for commenting on how fulfilment can be determined between the requirements of employers and decision-makers in government. The duration of visibility and publication of the offer might be informative for job candidates and, thus, significantly influence the development of competences in the region. The innovative use of advanced statistical methods to achieve the goal in the area of competence management allows for high precision of the results, reducing risks in making management decisions.

Theoretical background: Sustainable marketing is an increasingly popular topic in the field of scientific work. In the literature, a clear popularity of given approaches and perspectives can be seen, but only meta-analysis is able to define clear trends occurring in the literature. Purpose of the article: This paper aimed to analyze the state-of-the-art research on sustainable marketing through a bibliometric study using the Biblioshiny tool. Based on the articles published from 2019 to 2023 the results from the perspective of growing trends in the field were achieved. Research methods: The analysis was initiated by the appropriate selection of keywords and subsequent narrowing of the database of scientific articles in accordance with the adopted criteria. The results in graphic form have been discussed and interpreted in detail. The comparison of this article's output with the literature review allowed for the confrontation of the obtained research with the conclusions of the foregoing studies. Main findings: In the results, existing trends, such as a consumer-oriented approach, can be found. The multicultural approach seems to be an aspect not visible in the manual literature overview. The analysis also shows a clear increase and potential of publications on sustainable marketing and a multipronged perspective of the topic in the context of different aspects of business.

The article aims to determine how ergonomic measures support the achievement of ESG goals and how ergonomics as a discipline can be used in sustainability reporting. The study was designed as a mixed-method approach, started with a systematic review of the literature conducted according to the PRISMA protocol, and was followed by a qualitative analysis of the identified literature. The search strategy was based on a combination of keywords in the areas of ergonomics and environmental management. The results of the review identify the main trends in combination of ergonomics with ESG: Ergoecology, Green ergonomics, Environmental ergonomics, and Immaterial ergonomics, as well as indicating areas of objectives particularly reinforced by ergonomic interventions and documenting examples of good practices valuable for ESG reporting. The main results of the study are as follows: (1) organizing research trends in ergonomics for sustainable development; (2) a systematizing approach to green ergonomic practice; (3) a set of ergonomic practices for sustainability that are most frequently described in the literature; and (4) a conceptual model termed the Sustainability through Ergonomic Excellence Model (StEEM). The proposed framework organizes a range of practices into seven areas of excellence and assigns the collected green ergonomic practices to them, showing their contribution to implementing ESG metrics. The research carried out indicates that the role of ergonomics is still underestimated in current reporting standards. The proposed mapping and StEEM frameworks provide a framework to facilitate the systematic integration of ergonomics into ESG strategies and reporting and to provide a structured foundation for future empirical and evaluative research.

The highest rate of fatal accidents in aviation is attributed to the general aviation segment. Due to their specific nature, general aviation organizations lack implemented methods for measuring pilots' task load. Consequently, assessing the operational risk associated with a flight is hardly ever done. This results from the limited reporting of events by flight crews. Implementing task-load assessment based on objective methods could be beneficial from the standpoint of managing the risks associated with aviation operations. The research aimed to verify the usefulness of objective methods of assessing pilot workload from the perspective of small general aviation organizations. The study concentrates on the critical comparison of three objective methods: heart rate (HR), electroencephalography (EEG), and galvanic skin response (GSR). An expert evaluation of selected methods and flight tests of these methods that were deemed suitable in the expert evaluation were performed. Heart rate measurement using a chest strap received the highest ratings from experts and the most positive feedback from pilots during testing. It also provided the most accurate measurements. The study further emphasized the critical role of pilot task load in shaping overall flight safety in the specific conditions of general aviation organizations.

Last-mile delivery is the most complex and costly stage of the supply chain, where sustainability considerations are gaining strategic importance. Eco-friendly logistics solutions are increasingly valued, especially by Generation Z, digital natives actively engaged in online purchasing and highly sensitive to environmental issues. Artificial Intelligence (AI) supports this process by analysing consumer behaviour and message performance, enabling personalised communication. The purpose of this study is to explore the characteristics of credible and persuasive eco-friendly delivery messages in the context of sustainable development for Gen Z. The findings indicate that two message types are most influential: Eco Signals (symbols, colours, emotional language) and Sustainability Indicators (carbon footprint data, CO₂ reduction rates). The most effective messages combine both elements. A model message structure and the scope of AI-based analysis are proposed. The study confirms the importance of personalised sustainability communication for Gen Z and the need for further empirical research.