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EN
The main purpose of this article is to identify the fields of convergence, if any, between two management concepts and business practices, namely Corporate Social Responsibility (CSR) and Project Management (PM). To achieve the formulated goal, systematic literature review (SLR), including bibliometric analysis, LOESS regression analysis, and text mining, was performed. This analysis allowed us to distinguish five categories corresponding to the distinctive, related research areas combining CSR and PM constructs. Within these categories we were able to identify the most important characteristics of the linkages between both concepts.
EN
It has been proven that outdoor and indoor air pollutants can cause adverse health effects and are able to promote the onset of atopic diseases. The current manuscript is focused on methodological issues. The aim of the study is to determine the effect of air pollution, urban environment, and urban heat islands (UHIs) on the occurrence of respiratory diseases including allergic rhinitis, asthma and wheezing in preschool children. The study group consists of 276 five-year-old children attending randomly selected kindergartens in the urban and rural areas of the Łódź Voivodeship. The questionnaire including data on the child’s state of health and socio-economic data will be filled by the caregivers. The children will undergo skin prick testing and the measurement of volatile organic compounds in exhaled breath. The key components of air pollution – particulate matter (PM) will be measured by personal meters. The PM sampling planned in the study will take 12 h for PM2.5 and for PM10 alike. Data on the level of outdoor air pollution will be collected based on the results obtained from air monitoring stations. The impact of air pollution, UHIs and the environment on the respiratory system and the presence of allergies in children, including chronic respiratory diseases, will be assessed. The project results will provide a scientific basis for the development of preventive programs in the population of children in the Łódź Voivodeship, adapted to the real health needs of society.
EN
The main purpose of this article is to identify the cause-effect relationships between intellectual capital of the Polish regions and their competitive position. This study applies PLS-PM method. The obtained results confirmed that intellectual capital is an important factor of regional competitiveness. The greatest impact on the competitive position of the Polish regions in 2019 turned out to be activity capital and knowledge capital, which affected image capital. Image capital could explain competitive position of the Polish regions do the tune of 88,1% (R2 = 0,881). The research confirmed that the highest level of intellectual capital has the Mazowieckie, which is the most competitive Polish region among other. Finally, the conducted research showed that the components of intellectual capital of the Polish regions identified as important factors of regional competitiveness in 2019 were also important factors of competitiveness in the three preceding years (2016, 2017, 2018) and in 2020.
PL
Celem artykułu jest analiza zależności przyczynowo-skutkowych zachodzących pomiędzy komponentami kapitału intelektualnego województw a ich pozycją konkurencyjną. W tym celu zastosowano metodę PLS-PM. Uzyskane wyniki potwierdziły, że kapitał intelektualny jest istotnym czynnikiem konkurencyjności województw. Największy wpływ na pozycję konkurencyjną województw w 2019 roku miały kapitał osobowościowy i kapitał wiedzy, które istotnie wpływały na poprawę kapitału wizerunku województw. Kapitał wizerunku wyjaśnił ostatecznie ponad 88% zmienności pozycji konkurencyjnej województw. Badania potwierdziły, że największy poziom kapitału intelektualnego ma województwo mazowieckie, które zajmuje także najwyższą pozycję konkurencyjną. Ponadto przeprowadzone badanie pokazało, że komponenty kapitału intelektualnego zidentyfikowane jako istotne czynniki konkurencyjności województw w 2019 roku były również istotnymi czynnikami konkurencyjności w każdym z trzech wcześniejszych lat (2016, 2017, 2018) oraz w roku 2020.
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