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http://dx.doi.org/10.5762/KAIS.2016.17.11.670

A Study on the Research Trends in Fintech using Topic Modeling  

Kim, TaeKyung (Department of Industrial and Management Engineering, Korea University)
Choi, HoeRyeon (Department of Industrial and Management Engineering, Korea University)
Lee, HongChul (Department of Industrial and Management Engineering, Korea University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.11, 2016 , pp. 670-681 More about this Journal
Abstract
Recently, based on Internet and mobile environments, the Fintech industry that fuses finance and IT together has been rapidly growing and Fintech services armed with simplicity and convenience have been leading the conversion of all financial services into online and mobile services. However, despite the rapid growth of the Fintech industry, few studies have classified Fintech technologies into detailed technologies, analyzed the technology development trends of major market countries, and supported technology planning. In this respect, using Fintech technological data in the form of unstructured data, the present study extracts and defines detailed Fintech technologies through the topic modeling technique. Thereafter, hot and cold topics of the derived detailed Fintech technologies are identified to determine the trend of Fintech technologies. In addition, the trends of technology development in the USA, South Korea, and China, which are major market countries for major Fintech industrial technologies, are analyzed. Finally, through the analyses of networks between detailed Fintech technologies, linkages between the technologies are examined. The trends of Fintech industrial technologies identified in the present study are expected to be effectively utilized for the establishment of policies in the area of the Fintech industry and Fintech related enterprises' establishment of technology strategies.
Keywords
Big Data; Fintech; Patent analysis; Text mining; Topic modeling;
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Times Cited By KSCI : 3  (Citation Analysis)
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