Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education?
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 inter...
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| Format: | Article |
| Language: | English |
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LLC "CPC "Business Perspectives"
2023-10-01
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| Series: | Knowledge & Performance Management |
| Subjects: | |
| Online Access: | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/18909/KPM_2023_1_Dobrovolska.pdf |
| _version_ | 1827778218728357888 |
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| author | Olena Dobrovolska Ralph Sonntag Susan Buschendorf Elena Klimova Wolfgang Ortmanns |
| author_facet | Olena Dobrovolska Ralph Sonntag Susan Buschendorf Elena Klimova Wolfgang Ortmanns |
| author_sort | Olena Dobrovolska |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T14:30:01Z |
| format | Article |
| id | doaj.art-45294df6d96d44eea8415976832e7068 |
| institution | Directory Open Access Journal |
| issn | 2543-5507 2616-3829 |
| language | English |
| last_indexed | 2024-03-11T14:30:01Z |
| publishDate | 2023-10-01 |
| publisher | LLC "CPC "Business Perspectives" |
| record_format | Article |
| series | Knowledge & Performance Management |
| spelling | doaj.art-45294df6d96d44eea8415976832e70682023-10-31T09:42:32ZengLLC "CPC "Business Perspectives"Knowledge & Performance Management2543-55072616-38292023-10-01719110310.21511/kpm.07(1).2023.0718909Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? Olena Dobrovolska0https://orcid.org/0000-0002-4159-8446Ralph Sonntag1https://orcid.org/0000-0003-1976-4775Susan Buschendorf2https://orcid.org/0009-0004-3834-8851Elena Klimova3https://orcid.org/0000-0002-7688-2965Wolfgang Ortmanns4https://orcid.org/0009-0005-6309-5654Doctor of Economics, Professor, Dnipro, Ukraine, Visiting Professor, University of Applied Sciences Dresden, Dresden GermanyProf. Dr., Rector of the University of Applied Sciences Stralsund, StralsundDipl.-Inf.(FH), University of Applied Sciences Dresden, Dresden Professor, Faculty Informatics\Mathematics, University of Applied Sciences Dresden, DresdenProfessor of Business Administration / Management of Banks and Insurance Companies, University of Applied Sciences Dresden, DresdenKnowledge-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.https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/18909/KPM_2023_1_Dobrovolska.pdfcorrelationeducationinnovationknowledgepropertyresearch |
| spellingShingle | Olena Dobrovolska Ralph Sonntag Susan Buschendorf Elena Klimova Wolfgang Ortmanns Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? Knowledge & Performance Management correlation education innovation knowledge property research |
| title | Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? |
| title_full | Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? |
| title_fullStr | Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? |
| title_full_unstemmed | Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? |
| title_short | Knowledge creation, knowledge impact and knowledge diffusion: how do they connect with higher education? |
| title_sort | knowledge creation knowledge impact and knowledge diffusion how do they connect with higher education |
| topic | correlation education innovation knowledge property research |
| url | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/18909/KPM_2023_1_Dobrovolska.pdf |
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