Mapping the Research on Knowledge Transfer: A Scientometrics Approach
| Autor: | Fanchen Meng, Muhammad Farrukh, Zhouyang Gu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Computer science Scopus Knowledge transfer Bibliometrics 050905 science studies bibliometric analysis 0502 economics and business Frame (artificial intelligence) General Materials Science Electrical and Electronic Engineering publication metrics business.industry 05 social sciences General Engineering Scientometrics Data science Bibliographic coupling Visualization Market research lcsh:Electrical engineering. Electronics. Nuclear engineering 0509 other social sciences business lcsh:TK1-9971 050203 business & management |
| Zdroj: | IEEE Access, Vol 9, Pp 34647-34659 (2021) |
| ISSN: | 2169-3536 |
| Popis: | The research on knowledge transfer (KT) has attracted much attention from the researcher and academicians from the last decade. Bibliometric and visualization research on this topic is insufficient. This study aims to analyze the leading trends in the literature of KT and provide a holistic view. Data for this analysis is extracted from the Scopus database. VOSviewer software is used to map different bibliometric indicators such as bibliographic coupling and co-occurrence. This study identifies the most productive countries, authors, journals, and the most prolific publications in knowledge transfer research during 2010-2019. Moreover, it also identifies the most popular themes and suggests some future directions. The study also provides an overview of the trends and trajectories of KT with a visual and schematic frame, which may help the researchers and the practitioners understand the current trends and future research directions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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