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Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis
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, an...
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Published in: | KSII transactions on Internet and information systems 2021-09, Vol.15 (9), p.3221-3242 |
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creator | Lee, Eunji Jang, Jikyung |
description | 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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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.</description><identifier>ISSN: 1976-7277</identifier><identifier>EISSN: 1976-7277</identifier><language>kor</language><publisher>한국인터넷정보학회</publisher><subject>Big data ; Network analysis ; QR code ; R program ; Research Trend ; Text Mining</subject><ispartof>KSII transactions on Internet and information systems, 2021-09, Vol.15 (9), p.3221-3242</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885</link.rule.ids></links><search><creatorcontrib>Lee, Eunji</creatorcontrib><creatorcontrib>Jang, Jikyung</creatorcontrib><title>Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis</title><title>KSII transactions on Internet and information systems</title><addtitle>KSII Transactions on Internet and Information Systems (TIIS)</addtitle><description>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.</description><subject>Big data</subject><subject>Network analysis</subject><subject>QR code</subject><subject>R program</subject><subject>Research Trend</subject><subject>Text Mining</subject><issn>1976-7277</issn><issn>1976-7277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpNjL1OwzAYRS0EElXpE7B8C2Okzz-x4zEUCoVKhZI98i9YDQmK06FvjxCoYjp3OPeckRnVShaKKXX-b1-SRc7JImUVk6KqZuRlF3Iwo_uAZgy9h7o33TGnDHEY4e2QJ5N6Y7sArztwgw9wyAEKWA3ukGHo4Ta9w52ZzOl4RS6i6XJY_HFOmtV9s3wsNtuH9bLeFPsSWaGtVmVllKSsRKQClbAcKbfCOY3KuuClKb0U0YmoUasgPZcRqTaaRsr4nNz8ZvcpT6ntfe7ap_p5y5BRzlBipVDhj3d98nL7NaZPMx5brlFyXfJvEHtR_w</recordid><startdate>20210930</startdate><enddate>20210930</enddate><creator>Lee, Eunji</creator><creator>Jang, Jikyung</creator><general>한국인터넷정보학회</general><scope>HZB</scope><scope>Q5X</scope><scope>JDI</scope></search><sort><creationdate>20210930</creationdate><title>Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis</title><author>Lee, Eunji ; Jang, Jikyung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-k502-9b9758a761250014074b3013b4cc907bced6a5d64fc4f9097e6d36f019a91f123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2021</creationdate><topic>Big data</topic><topic>Network analysis</topic><topic>QR code</topic><topic>R program</topic><topic>Research Trend</topic><topic>Text Mining</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Eunji</creatorcontrib><creatorcontrib>Jang, Jikyung</creatorcontrib><collection>Korea Information Science Society (KISS)</collection><collection>Korean Studies Information Service System (KISS) B-Type</collection><collection>KoreaScience</collection><jtitle>KSII transactions on Internet and information systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Eunji</au><au>Jang, Jikyung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis</atitle><jtitle>KSII transactions on Internet and information systems</jtitle><addtitle>KSII Transactions on Internet and Information Systems (TIIS)</addtitle><date>2021-09-30</date><risdate>2021</risdate><volume>15</volume><issue>9</issue><spage>3221</spage><epage>3242</epage><pages>3221-3242</pages><issn>1976-7277</issn><eissn>1976-7277</eissn><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.</abstract><pub>한국인터넷정보학회</pub><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1976-7277 |
ispartof | KSII transactions on Internet and information systems, 2021-09, Vol.15 (9), p.3221-3242 |
issn | 1976-7277 1976-7277 |
language | kor |
recordid | cdi_kisti_ndsl_JAKO202132060870702 |
source | EZB Electronic Journals Library |
subjects | Big data Network analysis QR code R program Research Trend Text Mining |
title | Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis |
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