Perspective and Suitable Research Area in Public Research-Patent Analysis of the Czech Public Universities

Autor/inn/en	Marešová, Petra; Soukal, Ivan; Stemberkova, Ruzena; Selamat, Ali
Titel	Perspective and Suitable Research Area in Public Research-Patent Analysis of the Czech Public Universities
Quelle	In: Education and Urban Society, 54 (2022) 7, S.871-899 (29 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Marešová, Petra)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1245
DOI	10.1177/00131245211027362
Schlagwörter	Financial Support; State Universities; Innovation; Research and Development; Sample Size; Medical Research; Intellectual Property; Pharmacology; Economic Development; Foreign Countries; Technology Transfer; Institutional Characteristics; Chemistry; Agriculture; Dentistry; Optics; Information Technology; Biochemistry; Metallurgy; Photography; Electronics; Construction Materials; Czech Republic + Suchen Sie Ihr Suchwort? Finanzielle Förderung; Staatliche Universität; Forschung und Entwicklung; Geistiges Eigentum; Arzneikunde; Wirtschaftsentwicklung; Ausland; Technologietransfer; Chemie; Landwirtschaft; Zahnmedizin; Optik; Informationstechnologie; Biochemie; Hüttenwesen; Fotografie; Elektronik; Baumaterial; Konstruktionsmittel; Tschechische Republik
Abstract	In the current day and age, innovation is the fodder that keeps companies and institutions running, and universities play an important role. During the crisis and in the post-crisis period, financial support for research and development have undergone significant changes especially at universities. The aim of this research is to conduct a patent focus analysis of the public and state universities in the Czech Republic and to analyze the development in patenting focus structure and to identify perspective and suitable research area. Hierarchical clustering was chosen for its clustering overview clarity and due to the relatively small sample size. Ward's method was chosen as the clustering algorithm with squared Euclidean distance as the system of measurement. Each cluster was characterized by five dominant IPC subsections to describe the patent focus. The patent focus segmentation of 115 public and state universities identified five main groups: medical/pharmacological, material, organic, construction and mixed measuring and material processing. Universities today are centers of knowledge. In addition, they support the innovation that spurs economic activity in a society. Universities have the potential to spur industrial activity with innovation and then pass information on to private firms. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01