• Title/Summary/Keyword: SCOUPS

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A Study on the Collaboration Types of Knowledge Creation in Korean Government-supported Research Institutes of S&T: Focusing on Openness and Diversity (과학기술계 출연연구기관의 지식창출 협력유형 분석에 관한 연구: 개방성과 다양성 중심으로)

  • Park, Joohyoung;Lee, Heesang
    • Journal of Korea Technology Innovation Society
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    • v.17 no.3
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    • pp.563-583
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    • 2014
  • We classified collaboration types of Government-supported Research Institutes (GRIs) in Korea to make a creation knowledge with the openness and the diversity. The openness is described to collaboration dependence and leading intensity, and the diversity is expressed to collaboration diversity and collaboration concentration. We suggest four taxonomy models explained in terms of the openness and the diversity with country level and institute level. This study uses 39,507 papers in SCOUPS DB that include author(s) affiliated to 26 GRIs. It concludes that many GRIs is classified to the type of multilateral collaboration follower in institute level and to the type of global network player in country level from the perspective of openness. In the aspect of diversity, many GRIs is concentrated to the collaboration type of picky eater or monophagous in institute level and to the multinatioal asymmetry type or non-multinational asymmetry type in country level. It is necessary for GRIs to lead collaboration and to transfer inhouse R&D institutes with high performance to be competitive institutes which make high quality knowledge.

Research Trends in e-commerce Using Topic Modeling: Focusing on SCOPUS Database (토픽 모델링을 활용한 e-commerce 연구 동향: SCOPUS DB 데이터를 중심으로)

  • Tae-Gu Kang
    • Journal of Industrial Convergence
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    • v.22 no.10
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    • pp.1-9
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    • 2024
  • E-commerce has emerged as a key economic driver in the digital age, and the importance of the e-commerce market has been highlighted, leading to rapid expansion in related research areas. This paper analyzes the research trends on e-commerce from 1996, when e-commerce emerged and research began, to the present day. To this end, we used R and LDA topic modeling techniques and conducted a validity test on the number of topics and an analysis of the predictive value of the topic model centered on the core keyword "e-commerce" using the SCOPUS, a foreign academic database. The analysis of topics showed that ecommerce, model, study, data, and online were among the important topics. Logistics was also found to be important. In the rapidly changing and complex e-commerce market environment, it is important to respond to the diversification of business models and the establishment of a stable revenue structure to survive. As the continuous growth of the e-commerce market is predicted, the results of this study can be used as basic data for entering the e-commerce market and expanding business through countermeasures and strategies.