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The geographical map of research about technology transfer risk management. (Source: compiled by the authors using VosViewer toolkit)
Source publication
In times of globalisation and post-pandemic, it is the availability of advanced technologies , their effective use is a determining factor in economic growth. The process of transferring innovative technologies is associated with a significant level of risk, which negatively affects the economic, social and technical, and technological development...
Contexts in source publication
Context 1
... the geographical map of research about technology transfer risk management is presented in Figure 3. citations), France (99 documents and 1537 citation), Switzerland (40 documents and 1776 citations), Australia (97 documents and 2739 citations), Canada (131 documents and 3972 citations), Spain (47 documents and 1931 citations), Denmark (23 documents and 1574 citations), Norway (23 documents and 1180 citations), Belgium (34 documents and 1054 citations), Finland (25 documents and 960 citations), Sweden (35 documents and 991 citations), Singapore (22 documents and 424 citations) and others ( Figure 3). ...
Context 2
... the geographical map of research about technology transfer risk management is presented in Figure 3. citations), France (99 documents and 1537 citation), Switzerland (40 documents and 1776 citations), Australia (97 documents and 2739 citations), Canada (131 documents and 3972 citations), Spain (47 documents and 1931 citations), Denmark (23 documents and 1574 citations), Norway (23 documents and 1180 citations), Belgium (34 documents and 1054 citations), Finland (25 documents and 960 citations), Sweden (35 documents and 991 citations), Singapore (22 documents and 424 citations) and others ( Figure 3). And fourthly, the results of bibliometric analysis on co-authorship include 6893 authors. ...
Citations
... Mazur & Osadcha (2006) analysed the main problems of Ukraine's innovation model and the consequences of an ill-conceived innovation policy, points to the need to accelerate the implementation of measures related to the scientific and technical development of the economy, strengthening its scientific potential. Novikova et al. (2022) described the state of technology transfer, risks, and management in this context. However, issues related to the formation and development of the knowledge economy and the strengthening of innovation development in Ukraine are insufficiently covered. ...
The purpose of the study is to determine factors that have the greatest influence on the growth of export of high-tech goods in the context of innovation transfer for social-economic development. Factor analysis tools, including principal component analysis and the Varimax rotation (orthogonal transformation) method in Statgraphics software, are used to identify the most significant indicators of the impact on export of high-tech goods, as a key determinant characterizing the quality of scientific and educational potential, and to determine the latent signs of their interaction. A modified logistic function is used to normalize input data for 11 investigated factors in a sample of 28 countries. Ten linear combinations of variables are obtained, which explain most of the data variability. The first four components have eigenvalues greater than or equal to 1.0. Together, they account for 88.520% of the variability of the original data. After orthogonal transformation by the Varimax method, the factor load matrix is obtained. The econometric models, which describes the influence of independent indicators on the export of high-tech goods, are represented. Next, the four most influential indicators from the 11 investigated factors are revealed, namely: the country’s research and development expenditure, GDP in current prices, research staff and researchers in the sector of business enterprises, the percentage of ICT staff from total employment. They are taken to develop multiple linear regression models, which describes the influence of independent indicators on the effective export of high-tech goods. The quality results of the factor analysis are confirmed using the Kaiser-Meier-Olkin test and the Bartlett test. Regression analysis with strict screening of non-significant variables using the Backward Stepwise Selection tool confirms the significance of the indicator of scientific research personnel and researchers in the sector of business enterprises, which has the greatest impact on the export of high-tech goods. A pair regression model is obtained, and it is confirmed that increase of research staff and researchers in the sector of business enterprises by 1% causes increase of export of high-tech goods in average by 0,73%.
University-industry collaboration in R&D has great potential as a partnership that promotes sustainable development. This article aims to confirm that university-industry collaboration in R&D contributes to reducing the size of informal economy and strengthening sustainable development. Correlation and causal analysis are applied to achieve this goal: Shapiro-Wilk test, Pearson’s and Spearman correlation methods, vector autoregression and Granger causality test are used on the basis of STATA software for a cross-country sample of 10 countries with the highest Sustainable Development Index over 2011-2018. Research results show that stronger university-industry R&D collaboration contributes to more robust sustainable development in 6 out of 10 sample countries and shrinking informal economy in 4 out of 10 countries. In turn, growth of the informal economy leads to a decrease in university-industry R&D collaboration in 5 out of 10 countries and inhibits sustainable development in 7 out of 10 countries. In conclusion, policymakers should transform the national policy and strategy to emphasize and strengthen R&D cooperation between the universities and the industry.
