SocioEconomic Challenges (SEC)
Permanent URI for this collectionhttps://devessuir.sumdu.edu.ua/handle/123456789/61497
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Item Implementation of knowledge economy and innovation through business education(Academic Research and Publishing UG, 2023) Habenko, M.; Койбічук, Віталія Василівна; Koibichuk, Vitaliia Vasylivna; Krawczyk, D.; Майборода, Тетяна Миколаївна; Mayboroda, Tetyana; Самойлікова, Анастасiя Вiкторiвна; Samoilikova, Anastasiia ViktorivnaThe article’s purpose is to analyse the issue of implementation of knowledge economy and innovation through business education based on cluster analysis. The role of knowledge economy, innovation transfer, entrepreneurship and business-education coopetition are grounded to achieve economic growth and sustainable development. Input data withing the distribution of the knowledge economy through business education include a data of 23 countries for the following indicators: new registered enterprises, labour force, employment in industry, proportion of population studying ‘Business, Administration and Law’, proportion of population studying ‘Services’ and proportion of population studying ‘Economics’. Using data normalization, Ward and Sturges methods and Statgraphics Centurion 19 soft five clusters were determined to show hidden dependencies and structure in countries sample in this research context. The first cluster includes 2 countries (Austria and the United Kingdom), the second – 11 countries (Belgium, Portugal, Denmark, Italy, Lithuania, Latvia, Poland, Ukraine, Croatia, Norway, and the Netherlands), the third – 5 countries (Bulgaria, Spain, France, Switzerland, and Finland), the fourth – 3 countries (Estonia, Germany and Sweden), and the fifth – 2 countries (the Czech Republic and Hungary). Due to building dendrogram of distribution on clusters and graph of agglomeration distance the quality of countries distribution into clusters was confirmed. Obtained results can be useful for further research and improving the state innovation, information and educational policy based on positive experience of neighbour countries within certain formed clusterItem Challenges and opportunities in the ‘businesseducation-science’ system in the context of innovation development: cluster analysis(Sumy State University, 2023) Койбічук, Віталія Василівна; Койбичук, Виталия Васильевна; Koibichuk, Vitaliia Vasylivna; Самойлікова, Анастасiя Вiкторiвна; Самойликова, Анастасия Викторовна; Samoilikova, Anastasiia Viktorivna; Kharchenko, D.; Fritsak, M.The purpose of this article is to characterise challenges and opportunities in the ‘business-education-science’ system in the context of innovation development based on cross-country cluster analysis. The article examines the relationship between science, education and business and their mutual influence on modern society. The main challenges facing science, education and business are considered, and opportunities for cooperation between these fields to overcome them are identified. Key factors that influence the effectiveness of scientific research, the quality of education, and the success of business are also determined, with an emphasis on the important role of cooperation in the ‘business-education-science’ system in ensuring their impact. To reach article’s purpose, a complex methodology was applied, which includes the following stages: collection of information about the current state of science, education, and business; a review of expert opinions and analytical reports on the problems of the interaction of science, education and business; methods of cross-country cluster analysis using STATISTICA 10 software (the k-Means method, the square of the Euclidean metric, etc. for a comparative analysis between 19 countries from a sample to find out which of them have better indicators in the respective fields). The statistical base is formed from the European Union and the WIPO data, which cover 10 key indicators in the context of the development of science, education and business and their affect the country’s competitiveness in the global world. As a result, there are two formed clusters: the first includes the USA and China that have the highest level of education-science-business development and the second cluster includes other countries from the sample with a less developed education-science-business sector. For these countries the recommendations have been developed to strengthen their education-science-business sector, in particular: creating favourable conditions for investing in science and business, attracting talented scientists, and supporting their activities, increasing allocations for education, and improving the quality of education, strengthening partnerships between universities and enterprises to create innovative projects and other activities. The obtained results can be useful for further research and for making managerial decisions at different levels of government in the context of innovation development, including through the strengthening of coopetition between business, education, and science.Item Analysis of the relationship between “business-science” coopetition and intellectual property receipts.(Sumy State University, 2023) Самойлікова, Анастасiя Вiкторiвна; Самойликова, Анастасия Викторовна; Samoilikova, Anastasiia Viktorivna; Артюхов, Артем Євгенович; Артюхов, Артем Евгеньевич; Artiukhov, Artem YevhenovychThe study actualizes the issue of cooperation between business and science on the way to the commercialization of innovations in modern conditions. A hypothesis is put forward regarding the relationship between the level of cooperation between industry and science (based on the University-Industry Research Collaboration indicator within the Global Innovation Index) and the income from intellectual property. Therefore, the article aims to confirm the existence and establish a cause-and-effect relationship between the level of cooperation between business and science and the amount of income from intellectual property. A bibliometric analysis is carried out at the first stage to confirm the hypothesis, and the main directions of interdisciplinary research related to this issue are highlighted. In the second stage, the research information base is formed based on the statistical data of the World Intellectual Property Organization for a sample of 10 countries – leaders according to the Global Innovation Index of 2022 for the last 10 years (2013-2022). In the third stage, a correlation analysis is carried out to confirm a relationship’s existence and determine its statistical significance, nature and strength. At the fourth stage, a vector autoregression is constructed, based on the results of which Granger testing for cause-and-effect relationships is performed to determine the influence direction between the studied indicators. It is established that the level of cooperation between business and science is the cause and affects the amount of income from intellectual property in 6 of the 8 countries of the sample, in which the cause-and-effect relationship between the studied indicators was confirmed and established; the amount of income from intellectual property is the cause and affects the level of cooperation between business and science in 5 of the 8 countries of the sample, in which the cause-and-effect relationship between the studied indicators was confirmed. At the same time, in 3 out of 8 countries of the sample, in which the cause-and-effect relationship between the studied indicators was confirmed, a two-way influence was found. Accordingly, it is substantiated that the level of cooperation between business and science directly and positively affects the income from intellectual property. Therefore, the strengthening of collaboration between industry and science will contribute to the increase in the amount of income from intellectual property. In turn, the revenue volume from the intellectual property will also contribute to improving and developing cooperation between business and science. The obtained results can be helpful for scientists in further research in related scientific areas and for representatives of the business community, government officials and other persons interested in this issue.Item The effectiveness of employment in high-tech and science-intensive business areas as important indicator of socio-economic development: cross-country cluster analysis(Sumy State University, 2022) Койбічук, Віталія Василівна; Койбичук, Виталия Васильевна; Koibichuk, Vitaliia Vasylivna; Самойлікова, Анастасiя Вiкторiвна; Самойликова, Анастасия Викторовна; Samoilikova, Anastasiia Viktorivna; Хабенко, М.Є.; Habenko, M.Employment is one of key parameters of the economy, which characterizes its efficiency, possibility of using the labour potential and growth of population’s well-being. The level of employment is the most important indicator of the effectiveness of socio-economic policy of the state. A high level of employment in high-tech and science-intensive business areas is a driver of sustainable economic development of countries, increasing labour productivity, ensuring leadership in the market, and reducing the productions costs. Thus, the assessment of the effectiveness of population employment in high-tech and science-intensive service areas is significant today, as it is a comprehensive assessment of the country’s development, its current state in high technologies and further prospects for working with them. The research purpose consists in determining the maximum, most effective value of the population employment efficiency index in high-tech and science-intensive service spheres based on cross-country cluster analysis. The sample of countries all over the world were divided into 3 clusters, taking into account the rating value of the following indices: employment in high- and medium-high-tech production sectors and science-intensive business service spheres; enterprises that conducted training to develop / improve the ICT skills of their personnel; new registered enterprises. During the research there were statistical data analysis, cluster analysis using Ward’s method and software Statgraphics, optimization method using Frontier Analyst software. As a result, the efficiency of population employment in high-tech and science-intensive business service sectors of 36 countries in 2021 was determined, and accordingly reference countries with high population employment in this research sphere were identified. The potential reserves for increasing the targeted value of the population employment index in high-tech and science-intensive sectors were also characterized. The obtained results can be useful for business managers, they can adopt the experience of doing business in countries with more effective indicators, with the aim of developing employees, providing them with new training and knowledge that will facilitate doing business in the future.