Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education?
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Published:2023-10-31
Issue:1
Volume:7
Page:91-103
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ISSN:2543-5507
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Container-title:Knowledge and Performance Management
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language:
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Short-container-title:Knowledge and Performance Management
Author:
Dobrovolska Olena1ORCID, Sonntag Ralph2ORCID, Buschendorf Susan3ORCID, Klimova Elena4ORCID, Ortmanns Wolfgang5ORCID
Affiliation:
1. Doctor of Economic Sciences, Professor, Department of Finance, Banking and Insurance, Dnipro State Agrarian and Economic University, Ukraine.
Doctor of Economic Sciences, Professor, Visiting Professor, University of Applied Sciences Dresden, Germany. 2. Professor, Dr., Rector of the University of Applied Sciences Stralsund, Germany 3. Dipl.-Inf.(FH), University of Applied Sciences Dresden, Dresden 4. Professor, Faculty Informatics\Mathematics, University of Applied Sciences Dresden, Dresden 5. Professor of Business Administration / Management of Banks and Insurance Companies, University of Applied Sciences Dresden, Dresden
Abstract
Knowledge-based economy causes changes in the higher education system: university graduates must have the ability to constantly learn and improve their skills, generate and disseminate new knowledge, form and multiply the knowledge capital of business. This paper aims to investigate a pairwise interconnection between higher education indicators and sets of parameters characterizing knowledge creation, impact, and diffusion. The following higher education indicators are used: expenditure on education, tertiary enrollment, graduates in science and engineering, tertiary inbound mobility, researcher, gross expenditure on R&D, top 3 global corporate R&D investors, top 3QS university ranking. Knowledge creation indicators are patents by origin, PCT patents by origin, utility models by origin, scientific and technical articles, citable documents, H-index. Knowledge impact is characterized through labor productivity growth, new businesses, software spending, ISO 9001 quality certificates, high-tech manufacturing. Knowledge diffusion parameters include intellectual property receipts, production and export complexity, high-tech exports, ICT services exports. The information base of the study is the data of the Global Innovation Index Report from the World Intellectual Property Organization for 40 European countries (selected depending on the availability of statistics) for 2022, research method – Canonical Correlation Analysis. The strongest positive correlation was found between higher education indicators and knowledge creation parameters. The second position takes connection between higher education indicators and knowledge diffusion parameters, the third – between higher education indicators and knowledge impact indicators. Among the higher education indicators, the most significant were gross expenditure on R&D, top 3 global corporate R&D investors, top 3 QS university ranking.
Publisher
LLC CPC Business Perspectives
Subject
Management of Technology and Innovation,Information Systems and Management,Marketing,Organizational Behavior and Human Resource Management,Strategy and Management,Economics and Econometrics,Social Sciences (miscellaneous),Business, Management and Accounting (miscellaneous)
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