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EN
In recent years, there has been a noticeable increase in consumer interest in participating in the sharing economy. One of the markets in which this is particularly visible is the clothing market. Dynamic technological progress and the virtualisation of life have contributed to the creation of applications with which consumers can buy, exchange or borrow clothes. The use of this type of application is treated as a manifestation of sustainable consumption. The main aim of the article is to determine the influence of selected motives on the attitudes towards these applications and their use. The article discusses the results of the research conducted in 2021 on a sample of 412 respondents. Confirmatory factor analysis and structural equation modelling were used in the process of analysing the results. The research results suggest that the most important motives for using the discussed applications were economic and utility, with their impact on attitudes towards these applications and the willingness to use them confirmed. Social motives turned out to be the lowest-rated group of determinants. Moreover, their negative impact on both attitudes towards the application and the willingness to use it was confirmed. Ecological motives turned out to be relatively important determinants of using the discussed solutions. Their influence on attitudes towards the application and consumption behaviour was confirmed.
EN
Background: The study concerned workplace mobbing, a phenomenon affecting about 3–20% of the Polish population. The aim of the article is to distinguish the manifestations of mobbing, to study the coexistence of mobbing manifestations, and to search for the relationships between the symptoms of mobbing, reactions to mobbing and methods of dealing with mobbing used by victims. Material and Methods: Information on the above variables was obtained using a questionnaire on mobbing, risk factors, and responses to mobbing. The questionnaire was completed by 781 people (women: 66%, men: 34%). The average age of the respondents was 29 years. The current statistical analysis included: distinguishing the manifestations of mobbing by means of a confirmatory factor analysis, studying the coexistence of mobbing manifestations by means of a cluster analysis, and detecting the relationships between mobbing manifestations, reactions to mobbing and ways of dealing with it based on the system of structural equations. Results: The results of the research revealed 3 categories of relationships: a co-occurrence of mobbing manifestations, a relationship of mobbing manifestations with reactions to mobbing, and a relationship of mobbing reactions with methods of dealing with mobbing. Conclusions: Mobbing was found in 22% of the examined group. The study revealed the existence of 5 clusters of mobbing manifestations (i.e., subgroups of respondents characterized by experiencing at least 1 of the mobbing manifestations). In the most numerous clusters in which the symptoms of mobbing were diagnosed, unfriendly working conditions prevailed. In the context of mobbing, people were found to more often react with passivity or with using interpersonal coping methods. However, they rarely turned to institutions for help or used aggression against the mobber. Med Pr. 2022;73(1):1–12
PL
Artykuł prezentuje propozycję operacjonalizacji i pomiaru kapitału intelektualnego (KI) regionu na przykładzie Lubelszczyzny zgodną z opracowanym wcześniej modelem konceptualnym. W operacjonalizacji zaproponowanego modelu wykorzystano zarówno podejście oparte na idei zbiorów rozmytych, jak i podejście właściwe modelowaniu strukturalnemu (analiza ścieżki). Zastosowane procedury pozwoliły: (1) zweryfikować poprawność proponowanego modelu teoretycznego oraz (2) skwantyfikować kapitał intelektualny Lubelszczyzny, pokazując, że istnieje wyraźny podział regionu na powiaty o odmiennym poziomie KI w ramach czterech wyróżnionych kategorii.
EN
The aim of the article was to present the methods of operationalisation and measurement of intellectual capital of the region. The methods of fuzzy sets and structural equation modelling were used. The obtained results were the following: (1) the verification of the conceptual model of intellectual capital of the region and (2) measurement of intellectual capital of region.
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