IntroductionEffective programming of research and development (R&D) support, adjusted to the actual potential of beneficiaries, requires the use of modern analytical tools. Efficient R&D support system requires up-to-date data on technological trends, ongoing (and planning) research, market needs and developing innovationCase descriptionThe article presents the potential of one tool that can be applied in public support institutions. Methods of identifying and diagnosing technology trends are presented.Discussion and Evaluation The use of methods for refining information from unstructured data is one of the most effective methods for identifying and diagnosing areas requiring support from public funds. Public institutions, including public institutions supporting R&D and innovation processes, can apply tools that allow an increase in the quality of offered support programmes, but also beneficial for the excellence of strategic resources management within the institution itself.ConclusionsThe described tools and methods are already directly applicable in many areas related to the support of R&D activity worldwide. The article presents a solution that effectively enables the management of more precise programmes supporting innovative activities.
Fossil fuels helped Putin build military power and attack Ukraine. Coal, gas and oil are being used by Putin’s regime as weapons against the countries that are contractors and consumers of Russian fuels. The aim of this paper is to present a methodology using Big Data analysis and to demonstrate the results, as well as to show trends and developments in relation to the response to the crisis on the fossil fuel market. At the same time, the EU institutions have taken on the burden of conducting energy policy in Europe. The research carried out, including the cluster analysis and the analysis of the variability of trends in relation to the real conditions in the market for strategic energy resources, indicates that the European Union (as an institution) has taken over the burden of policy-making in this area and national policies are far less important (indicating their weakness).
In 1989 the Polish printing industry ceased to require industrial licensing. The last quarter of a century was a period of reconstruction of the printing industry structure and technological modernization. In the period of transition, Polish enterprises entered with a huge technological gap in relation to European countries. The source of the realized investments was most frequently the purchase new technology materialized in machinery and manufacturing equipment. Such investments created only a temporary competitive advantage in the local market. In fact, they had been present on the European market for over a decade, and increasing demands of the market in comparison to the quality of printing services quickly proved their insignificant value. Furthermore, the purchase of equipment from the secondary market outside of Poland actually built a competitive advantage only on the local market, as in the country of origin it was already being replaced with new technologies that had better parameters.
Effective programming of research and development (R&D) support, adjusted to the actual potential of beneficiaries, requires the use of modern analytical tools. An efficient R&D support system requires up-to-date data on technological trends, ongoing (and planning) research, market needs and developing innovation. The most popular programming methods were based on the analysis of data with a 4 to 5-year time delay until recently. Having described the method of refining information from unstructured data, we explore how to make it possible not only to solve the issue of up-to-date data but to identify of the latest trends in R&D activities.The analytical tools we describe were already fully functional in 2018 and are constantly being improved. The article presents the potential of one tool that can be applied in public support institutions. Methods of identifying and diagnosing technology trends are presented within the case study of the electric car technology trend. The presented case study shows the effectiveness of the method we developed for identifying and diagnosing areas requiring support from public funds. Public institutions, including public institutions supporting R&D and innovation processes, can apply tools that allow an increase in the quality of public support programmes offered, but also beneficial for the quality of strategic resources management within the institution itself. The comparison of the predictions made by the described tools with the classifications made by experts, the former are more accurate and precise. Moreover, the results of the analyses performed by the presented model are not influenced by distorting factors—fads, trends, political pressures, or processes with an unidentified, non-substantive background. It should be emphasized that the accuracy of the whole model is 0.84. The described tools and methods are already directly applicable in many areas related to the support of R&D activity worldwide. The article presents a solution that effectively enables the management of more precise programmes supporting innovative activities used for the first time in Poland. It is also one of the first uses of these methods by public administration in the world. Our approach not only strengthens improved adjustment of the support offered for R&D activity, but also makes it possible to apply and improve management methods in public institutions.
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