Abstract:The involvement of governments and public institutions in entrepreneurial activity has grown considerably in the last years. Public governance has begun to pay more attention to the fact that, in order to achieve the goal of economic development in a country, it is necessary to increase entrepreneurship both qualitatively and quantitatively. Most governments have created significant actions that encouraged and supported the entrepreneurial activity and also they have contributed to supporting the private secto… Show more
“…The colours indicate homogeneous thematic groupings called clusters. Each term belongs to a single cluster (Cassaro et al, 2021; Lobonţ et al, 2021), and these clusters can be associated with the thematic lines of the scientific fields (Galvez, 2018). Finally, the size of each node reflects the relationship of that term with the rest of the keywords.…”
Section: Resultsmentioning
confidence: 99%
“…Scientific collaboration is a complex phenomenon that has been systematically studied, especially in its international collaboration dimension (Glänzel & Schubert, 2004). The co-authorship analysis analyses the relationship of the articles based on the documents prepared by several authors (Lobonţ et al, 2021; Mourao & Martinho, 2020; van Eck & Waltman, 2021), generating a map that shows not only the main producing countries but also their relationships (Mao et al, 2020). For the realisation of the graph, the countries with at least five documents and at least 53 citations received are selected, obtaining a network of 53 countries, as presented in Figure 6.Figure 6.Co-authorship network map by country.…”
For decades, Participatory Action Research (PAR) has been extended as a scientific praxis applied in different contexts, characterised by the involvement of participating groups and oriented towards social transformation. However, there is a certain dialectical tension between those approaches that emphasise the method versus those that emphasise the pursuit of social change from a decolonial perspective. This article questions how this praxis is reflected in scientific transfer, analysing not only the development and scope of scientific production in PAR, but also how the academy may reproduce relations inherent to coloniality in this transfer. To this end, the production on PAR hosted on the Web of Science (WoS) is collected, and a bibliometric analysis is performed by applying descriptive and relational techniques using VosViewer software. The study concludes that scientific production has not stopped growing and that the areas of knowledge where it is applied have diversified. However, it also points out how the knowledge production model reproduces the power relations of coloniality, affecting PAR’s transfer. This analysis can contribute to the debate on a scientific approach oriented to improve processes of social transformation.
“…The colours indicate homogeneous thematic groupings called clusters. Each term belongs to a single cluster (Cassaro et al, 2021; Lobonţ et al, 2021), and these clusters can be associated with the thematic lines of the scientific fields (Galvez, 2018). Finally, the size of each node reflects the relationship of that term with the rest of the keywords.…”
Section: Resultsmentioning
confidence: 99%
“…Scientific collaboration is a complex phenomenon that has been systematically studied, especially in its international collaboration dimension (Glänzel & Schubert, 2004). The co-authorship analysis analyses the relationship of the articles based on the documents prepared by several authors (Lobonţ et al, 2021; Mourao & Martinho, 2020; van Eck & Waltman, 2021), generating a map that shows not only the main producing countries but also their relationships (Mao et al, 2020). For the realisation of the graph, the countries with at least five documents and at least 53 citations received are selected, obtaining a network of 53 countries, as presented in Figure 6.Figure 6.Co-authorship network map by country.…”
For decades, Participatory Action Research (PAR) has been extended as a scientific praxis applied in different contexts, characterised by the involvement of participating groups and oriented towards social transformation. However, there is a certain dialectical tension between those approaches that emphasise the method versus those that emphasise the pursuit of social change from a decolonial perspective. This article questions how this praxis is reflected in scientific transfer, analysing not only the development and scope of scientific production in PAR, but also how the academy may reproduce relations inherent to coloniality in this transfer. To this end, the production on PAR hosted on the Web of Science (WoS) is collected, and a bibliometric analysis is performed by applying descriptive and relational techniques using VosViewer software. The study concludes that scientific production has not stopped growing and that the areas of knowledge where it is applied have diversified. However, it also points out how the knowledge production model reproduces the power relations of coloniality, affecting PAR’s transfer. This analysis can contribute to the debate on a scientific approach oriented to improve processes of social transformation.
“…The research method employed to assess publications on talent management was bibliometric analysis. It had been used by numerous researchers (Gudanowska, 2017;Gorzeń-Mitka,2020;Lobonţ, Purcariţa, Vatavu et al, 2021). Excel spreadsheet, software VOSviewer 1.6.18 and data analysis tools available in Web of Science and Scopus data bases were used to conduct the analysis.…”
Purpose: Paper is an attempt at theoretical and practical answer to the question about the economic preparation of young people for Economy 4.0. Design/methodology/approach: The paper consists of a literature study relating to research findings on multicompetence vs specialization of youth attending secondary schools and a review of own research with young people carried out as part of the project "New Generation in the New Economy" carried out at the Poznań University of Economics and Business in 2021-
2022.Findings: The results confirm high correlations between competencies. Authors calculated also the Competencies Index, as the arithmetic mean from normalized results of all measured competencies. This lead to the recognition of inconstant variabilities of competencies along the Competencies Index results. The variability of competencies levels is much bigger among students with average lower multicompentecies index.
Research limitations/implications:The results of the conducted own research seem worth carrying out on subsequent groups of respondents and on a larger population of them. Particular attention should be paid to the research sample -panel studies taking into account cultural differences, age, gender and the type of school attended by the respondents seem particularly interesting in the future. The undertaken research topic is undoubtedly worth exploring and more extensive research. Practical implications: As indicated by literature research, the competences analyzed in the paper are the subject of interest of various stakeholders (including scientists, institutions and organizations responsible for education or the future of the labor market). Originality/value: The novelty of the paper comes from unique research consisting all the most important competencies. This allowed to measure the relations between them, calculate the multicompetencies index and check if inter-competency differentiation is different in the group of people well prepared for Economy 4.0 and in the group of people with worse preparation.
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