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http://dx.doi.org/10.9708/jksci.2021.26.09.189

A Research Analysis of QR code based on big data in Korea  

Lee, Eun-ji (Global Leadership College, Yonsei University)
Kim, Soo Kyun (Dept. of Computer Engineering, Jeju National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.9, 2021 , pp. 189-200 More about this Journal
Abstract
Recently, Information and Communication Technology and SMART Phone Technology have been rapidly developed. According to the increase of data use, the era of big data has come. With the approach of non-contact society, QR Codes are becoming inseparable in our lives. In this paper, we are trying to figure out the implications of QR Code research based on Big Data in Korea. The purpose of this study is to first examine the previous studies on "QR Code" and conduct an analysis on keywords by field using Big Data. Second, for data visualization WordCloud analysis and network analysis are performed on "QR Code" frequent keyword. Third, we would like to present the research direction to future researchers regarding "QR Code". In the results, First of all, research trends showed that research is on the rise and that various fields are being utilized. Second, the results of the analysis of frequent keyword resulted in similar results overall, with some differences depending on the field and year. Third, we found that the visualization results according to the frequent keyword were also analyzed in the same way as the frequent keyword analysis results. The practical implications of the theoretical findings are as follows. First, 'QR Code' needs to be studied as a means of information delivery, not as a technical aspect. Second, it can be seen that "QR Code" is developing reflecting social trends or issues. With both theoretical and practical implications, we are trying to provide the strategic ways of QR-code in future.
Keywords
Big Data; QR Code; Text Ming; Word Cloud; Network Analysis;
Citations & Related Records
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