Author: VPInstitute
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Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern (full-text)
Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the…
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INTELLECTUAL STRUCTURE OF STEM EDUCATION IN EDUCATIONAL RESEARCH (full-text)
The aim of this research is to put forward the intellectual structure of STEM (Science, Technology, Engineering and Mathematics) education concept in educational research. STEM education has emerged as a highly accepted paradigm in education especially in the USA and European countries in recent years. The theoretical substructure of STEM education that is seen as…
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Profiling the Research Landscape in Emerging Areas Using Bibliometrics and Text Mining: A Case Study of Biomedical Engineering (BME) in Thailand
This study focuses on applying bibliometric analysis and text mining technique to generate technology intelligence from publication databases. The intelligence represents the research profile and landscape by highlighting active research areas and revealing professional communities along with their social networks. Professional communities can be not just existing networks, but also hidden ones. In this paper,…
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Scientific collaboration in indigenous knowledge in context: Insights from publication and co-publication network analysis
Scientific collaboration has been cited as a major stimulant in innovation and a major component for the development of indigenous technologies particularly in countries invested in rapid technological catch-up in East Asia and Southeast Asia. In this study, we assess the comparative advantage of the selected economies and employ a network perspective to drill down…