[논문]Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis

Lee, Eunji; Jang, Jikyung

doi:10.3837/tiis.2021.09.008

Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis 원문보기

KSII Transactions on internet and information systems : TIIS, v.15 no.9, 2021년, pp.3221 - 3242

Lee, Eunji (Global Leaders College, Yonsei University) , Jang, Jikyung (Department of Business Administration, Dongseo University)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (17)

표 Table 1. Analysis and Procedure
그림 Fig. 1. Publication of QR code related papers by year
표 Table 2. Paper publication by subject field
그림 Fig. 2. Publication of ‘QR code’ related study papers by year
표 Table 3. Frequency analysis of keywords
표 Table 4. Frequency analysis of keywords by subject field for the title
표 Table 5. Frequency analysis of keywords by subject field for the abstract
표 Table 6. Frequency analysis of keywords by subject field for the keyword
표 Table 7. Frequency analysis of keywords by year for the title
표 Table 8. Frequency analysis of keywords by year for the abstract
그림 Fig. 3. Word cloud for QR code
표 Table 9. Frequency analysis of keywords by year for the keyword
그림 Fig. 4. Word cloud of frequent keywords by subject field for the title
그림 Fig. 5. Word cloud of frequent keywords by subject field for the abstract
그림 Fig. 6. Word cloud of frequent keywords by subject field for the keyword
그림 Fig. 7. Word cloud of frequent keywords by year for QR code
그림 Fig. 8. Word cloud of frequent keywords by year for QR code

AI 본문요약
AI-Helper

제안 방법

In this study, the trends are examined by looking at QR code or QR code-related key words, and title, abstract, or keyword-related frequent key words are analyzed with text mining to illuminate current study trends and to suggest a direction for future studies.
But the limitations with existing studies are that they are restricted to certain industries so that it is relatively hard to take a comprehensive view on the wide range of applications of QR code in general. So, realizing the necessity of a comprehensive approach to QR code, this study uses various analytic approaches to QR code study to examine the applications more broadly for clearer analysis to suggest a direction for future studies.
2 program and Rstudio. The analysis was carried out with TM, Stringr, Wordcloud, SnowballC, Tidymodels, Network, GGally, sna, RColorBrewer, ggplot2 among others. In particular, the titles and abstracts of the papers were considered, with unnecessary parts removed, such as special characters, numbers because abstracts are textbased, so only nouns are collected.
The contributions of the study can be summarized as follows: existing studies on QR code are limited to certain industries, while the study tries various analyses to propose a comprehensive view for expansive applications of QR code. The study helps clearly understand the trend of time series of QR code applications and the current situations of the applications in various fields.

성능/효과

Prior to 2010 when manufacturing was a big part of the industry, it was used for SCM or as a barcode, but with the advent of the IT era after 2010, the role of QR Code expanded to the fields of information collection and utilization. But with the developments of mobile payment systems after 2015, the boundary of QR code disappeared. But coming to terms with the contactless era, its function as useful tool for learning expanded, and the function of QR code is also expected to develop further in connection with social changes.
First, QR code study is trending up over time, with the applications expanding into various fields. For example, QR code studies dramatically increased after 2010 and this was due to the developments of IT technologies.
First, QR code study is trending up over time, with the applications expanding into various fields. For example, QR code studies dramatically increased after 2010 and this was due to the developments of IT technologies. Then the number of studies somewhat decreased in 2017, and the trend has been up from 2019.
In general, the highest frequency words for the keyword QR code are ‘QR’ and ‘code’, and QR code is found to have been used adaptive to subject field
In particular, the derivation of keywords like ‘application’ and ‘payment’ means that QR code can be consistently used in our daily life, and the level of the utility will be great as a complementary function or information channel
Regarding characteristics by year, QR code was considered just a technology or a tool for logistics before 2010, but then it changed to a converged perspective where QR Code is not utilized in connection with the key word ‘information’
Regarding keywords, QR code in the past was considered just a complementary tool like ‘system’, ‘marketing’ and ‘barcode’, but in the future, QR code can be used as ‘information’ in connection with ‘application’, ‘using’, and ‘recognition’
The most significant increase has been observed in the fields of science and technology and social science among other fields. Second, Frequent keywords analysis shows that the keywords ranked in the top half appeared similar by year, even though there is some difference in their rankings. In general, the highest frequency words for the keyword QR code are ‘QR’ and ‘code’, and QR code is found to have been used adaptive to subject field.
In particular, the derivation of keywords like ‘application’ and ‘payment’ means that QR code can be consistently used in our daily life, and the level of the utility will be great as a complementary function or information channel. Second, QR code reflects social issues and phenomena and the function QR code is growing. Prior to 2010 when manufacturing was a big part of the industry, it was used for SCM or as a barcode, but with the advent of the IT era after 2010, the role of QR Code expanded to the fields of information collection and utilization.
The limitations of existing studies are as follows: first, the studies are mainly research papers that deal with QR code theory, so more real case studies and performance studies are necessary in the future studies. Second, existing studies are limited to case studies in South Korea, which is known to have well developed IT infrastructure, that more diverse countries should be included in the future QR code studies. Therefore, multi-country comparative studies of QR code applications in such countries are necessary to understand cultural(social) characteristics by country.
But coming to terms with the contactless era, its function as useful tool for learning expanded, and the function of QR code is also expected to develop further in connection with social changes. So, if corporations consider QR code from a technical point of view and social issues or phenomena, practical use of QR code is expected to grow further. So if the Government takes into account these changes in setting their policy, there will be more successful changes to come for the future.
The study helps clearly understand the trend of time series of QR code applications and the current situations of the applications in various fields. The findings of the study provide important points for both corporate companies and the governments that are looking for some direction for policies and regulations for expansive applications of QR code.
The contributions of the study can be summarized as follows: existing studies on QR code are limited to certain industries, while the study tries various analyses to propose a comprehensive view for expansive applications of QR code. The study helps clearly understand the trend of time series of QR code applications and the current situations of the applications in various fields. The findings of the study provide important points for both corporate companies and the governments that are looking for some direction for policies and regulations for expansive applications of QR code.
Second, existing studies are limited to case studies in South Korea, which is known to have well developed IT infrastructure, that more diverse countries should be included in the future QR code studies. Therefore, multi-country comparative studies of QR code applications in such countries are necessary to understand cultural(social) characteristics by country. Third, text mining and visualization analysis of the frequent words are used for QR code-related data analysis in the study.
Therefore, multi-country comparative studies of QR code applications in such countries are necessary to understand cultural(social) characteristics by country. Third, text mining and visualization analysis of the frequent words are used for QR code-related data analysis in the study. And additional cross tabulation analysis, correlation analysis and clustering analysis may help solve other practical issues as well.
Regarding characteristics by year, QR code was considered just a technology or a tool for logistics before 2010, but then it changed to a converged perspective where QR Code is not utilized in connection with the key word ‘information’. Third, the finding of the visualization of frequent words also shows the same result as the frequent keywords analysis. Although visualization has the advantage that it is clear and easy to see the result, it can be difficult to set certain standard for small words or nodes.
With the growth of big data market, studies about big data are also consistently growing, and in connection with recent trend with smartphone and noncontact activities, the use of QR code is rapidly increasing. Existing studies regard QR code kind of bar code or a tool for SCM, so that they take a technical approach limited to certain industry.

후속연구

Third, text mining and visualization analysis of the frequent words are used for QR code-related data analysis in the study. And additional cross tabulation analysis, correlation analysis and clustering analysis may help solve other practical issues as well.
But with the developments of mobile payment systems after 2015, the boundary of QR code disappeared. But coming to terms with the contactless era, its function as useful tool for learning expanded, and the function of QR code is also expected to develop further in connection with social changes. So, if corporations consider QR code from a technical point of view and social issues or phenomena, practical use of QR code is expected to grow further.
So, if corporations consider QR code from a technical point of view and social issues or phenomena, practical use of QR code is expected to grow further. So if the Government takes into account these changes in setting their policy, there will be more successful changes to come for the future.
Text analysis, in particular, is expected to help provide deep look into the use of QR code in the future. The findings of the study, therefore, are expected to contribute to formulation of the government regulations and policies by providing comprehensive view of QR code applications. The analysis process is as follows: first, the trend of QR code papers done over time and the current status of publications of the papers are examined by field.
This study analyzes the study trend for last 20 years based on keywords for QR code. The study, therefore, examines the general trend about QR code beyond the limitations of existing studies to certain industry, and takes more comparative approach for more detailed analysis. The data for QR code studies are examined with big data analysis methods to see the study trends.
But in recent years, the applications of QR code expanded into various fields in convergence with others, with utilization of its applications greatly increasing. This study, therefore, recognizes the need for more comprehensive approach to QR code study and uses wider range of analysis method for clearer analysis and direction for future study.

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동의어: Packet Collision Rate

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