Vol. 15, No. 9, September 30, 2021
10.3837/tiis.2021.09.008,
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Abstract
The purpose of the study is to examine the current study trend of ‘QR code’ and suggest a direction for the future study of big data analysis: (1) Background: study trend of ‘QR code’ and analysis of the text by subject field and year; (2) Methodology: data scraping and collection, EXCEL summary, and preprocess and big data analysis by R x 64 4.0.2 program package; (3) the findings: first, the trend showed a continuous increase in ‘QR code’ studies in general and the findings were applied in various fields. Second, the analysis of frequent keywords showed somewhat different results by subject field and year, but the overall results were similar. Third, the visualization of the frequent keywords also showed similar results as that of frequent keyword analysis; and (4) the conclusions: in general, ‘QR code’ studies are used in various fields, and the trend is likely to increase in the future as well. And the findings of this study are a reflection that ‘QR code’ is an aspect of our social and cultural phenomena, so that it is necessary to think that ‘QR code’ is a tool and an application of information. An expansion of the scope of the analysis is expected to show us more meaningful indications on ‘QR code’ study trends and development potential.
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Cite this article
[IEEE Style]
E. Lee and J. Jang, "Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis," KSII Transactions on Internet and Information Systems, vol. 15, no. 9, pp. 3221-3242, 2021. DOI: 10.3837/tiis.2021.09.008.
[ACM Style]
Eunji Lee and Jikyung Jang. 2021. Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis. KSII Transactions on Internet and Information Systems, 15, 9, (2021), 3221-3242. DOI: 10.3837/tiis.2021.09.008.
[BibTeX Style]
@article{tiis:24931, title="Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis", author="Eunji Lee and Jikyung Jang and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2021.09.008}, volume={15}, number={9}, year="2021", month={September}, pages={3221-3242}}