• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.549-566
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• 2022

Recently, artificial intelligence (AI) technology has progressed rapidly, and industries using this technology are significantly increasing. Further, analysis research using text mining, which is an application of artificial intelligence, is being actively developed in the field of social science research. About 125 laws, including joint laws, have been enacted under the Ministry of Oceans and Fisheries in various sectors including marine environment, fisheries, ships, fishing villages, ports, etc. Research on the laws under the Ministry of Oceans and Fisheries has been progressively conducted, and is steadily increasing quantitatively. In this study, the domestic research trends were analyzed through text mining, targeting the research papers related to laws of the Ministry of Oceans and Fisheries. As part of this research method, first, topic modeling which is a type of text mining was performed to identify potential topics. Second, co-occurrence network analysis was performed, focusing on the keywords in the research papers dealing with specific laws to derive the key themes covered. Finally, author network analysis was performed to explore social networks among authors. The results showed that key topics have been changed by period, and subjects were explored by targeting Ship Safety Law, Marine Environment Management Law, Fisheries Law, etc. Furthermore, in this study, core researchers were selected based on author network analysis, and the tendency for joint research performed by authors was identified. Through this study, changes in the topics for research related to the laws of the Ministry of Oceans and Fisheries were identified up to date, and it is expected that future research topics will be further diversified, and there will be growth of quantitative and qualitative research in the field of oceans and fisheries.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.61-69
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• 2018

This study aims to understand and to infer the implications from the career preparation experiences of low-income university students in the context of high youth unemployment rate and the polarization of the social classes. For this purpose, we selected 13 university students who received scholarship from the S scholarship foundation and conducted analysis using text mining techniques based on the six-time interviews. According to the results, university students seem to be influenced by home environment and income level when recalling previous academic experience or designing career during the interview process. Also, these differences were found to have different characteristics according to gender and major. This study is meaningful in that the qualitative research data is analyzed by applying the text mining technique in a convergent way. As a result, the college life and career preparation of low-income university students were explored through the frequency and relation of words.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.149-158
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• 2019

Due to the rapid development of IT (information technology) and internet, products become smart and able to collect, process and produce information and can think of themselves to provide better service to consumers. However, research on the characteristics of smart product is still sparse. In this paper, we report the systemic development of a scale to measure the perceived product smartness associated with smart product. To develop product smartness scale, this study follows systemic scale development processes of item generation, item reduction, scale validation, reliability and validity test consequently. And, after acquiring a large amount of qualitative interview data asking the definition of smart product, we add a unique process to reduce the initial items using both a text mining method using 'r' s/w and traditional reliability and validity tests including factor analysis. Based on an initial qualitative inquiry and subsequent quantitative survey, an eight-factor scale of product smartness is developed. The eight factors are multi-functionality, human-like touch, ability to cooperate, autonomy, situatedness, network connectivity, integrity, and learning capability consequently. Results from Korean samples support the proposed measures of product smartness in terms of reliability, validity, and dimensionality. Implications and directions for further study are discussed. The developed scale offers important theoretical and pragmatic implications for researchers and practitioners.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.81-91
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• 2022

Purpose - This study explores the role played by the government in spreading corporate green IT. Indeed, a lot of evidence is emerging that governments acting independently are not in a position of attaining the far end economic and social changes need for the realization of green IT. As much as matters about green IT was initiated by many governments. Research design, Data, and methodology - This study selected the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) as a research design. The PRISMA is recognized for its standard evidence reporting system and can provide adequate systematic review among previous studies. Result - A lot of consensus leads to the acquisition of the value of corporate green IT concerning the effectiveness of the collaboration. This study could obtain six suggestions from the systematic review, such as 'Rebalancing Government and Public Duties', 'Direct Regulation', 'Marketing Tools and Fiscal or Economic Measures', 'VNRP', 'Education for Decision Making', 'Latest Policy Trends within the G8 Nations'. Conclusion - The most challenging aspect when it comes to ensuring corporate green IT is the separation of economic growth from the perspectives regarding life qualities. According to the study (Falcone, 2020), this needs a second policy-oriented wedge concerning re-socialization with the desire of encouraging the development of the culture associated with the corporate green IT.

• Journal of Koreanology Reviews
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• v.1 no.1
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• pp.25-29
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• 2022

Economic growth is one of the significant benchmarks determining a country's sustainable growth. Before WWII, most countries perceived their priority in terms of military strength as they dedicated most of their efforts and resources to creating weapons of mass destruction. The current research aims to establish some of the significant factors that may have contributed to the sustainable and progressive economic growth of South Korea within the 60-year timeframe. Multiple prior studies have attributed the economic growth in South Korea to policy reforms that opened the country to foreign markets. The outstanding increase in the percentage of exports stands out as an indication of the improvement in the quality of goods produced in the country. Finally, in recent years, China has dedicated more resources to research and developments as a strategy to improve innovation within the country and its overall economic growth. Other issues of concern likely to undermine the prospects of the country's economic growth include the limited geographical size, aging population, and limited natural resources. As such, South Korea needs to emphasize innovation and improve the business environment as its main strategy for sustainable economic growth in the future to maintain its continuous economic miracle.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.81-91
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• 2019

Recently, social network service (SNS) is actively used by public. Among them, Twitter has a lot of tweets including sentiment and it is convenient to collect data through open Aplication Programming Interface (API). In this paper, we analyze social issues and suggest the possibility of using them in marketing through sentimental information of users. In this paper, we collect twitter text about social issues and classify as positive or negative by sentiment classifier to provide qualitative analysis. We provide a quantitative analysis by analyzing the correlation between the number of like and retweet of each tweet. As a result of the qualitative analysis, we suggest solutions to attract the interest of the public or consumers. As a result of the quantitative analysis, we conclude that the positive tweet should be brief to attract the users' attention on the Twitter. As future work, we will continue to analyze various social issues.

• Proceedings of the Korea Association of Information Systems Conference
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• 2003.11a
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• pp.41-54
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• 2003

This study examines group process patterns when Instant Messaging is used for decision-making, and examines how these patterns are associated with creative solutions to problems. Our research suggests that certain communication behavior of a group, when appropriately organized, can enhance creative production of outcomes. A qualitative analysis is conducted on communication patterns based on text-based conversation protocols. Specifically, this research tries to extend existing studies on group-work by focusing on the interactive communication process among participants. Study results include that the production of creative outcome depends on the temporal sequence of discussion pattern among group members. (1) Appropriate control of the discussion process is essential to obtain a high level of performance. (2) It is also important to set up discussion rules and rules for the use of communication medium in the early stages of the discussion . (3) Active participants use various protocol types while less-active members rely mainly on 'cognitive' protocols.

• Proceedings of the Korea Association of Information Systems Conference
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• 2004.11a
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• pp.499-513
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• 2004

This study identifies communication patterns of groups using Internet Messenger for their group decision-making, and examines how these patterns are associated with creative solutions to problems. Our research suggests that certain communication behavior of groups, when appropriately organized, can be of help in enhancing creative production of outcomes. A qualitative study was conducted on communication patterns based on an analysis of text-based electronic conversation protocols. Specifically this research tried to overcome existing studies on electronic groups by focusing on interactive process of communication among participants. The major study conclusions are: (1) The production of creative outcome may depend on the process or sequence of discussion among group members with Internet Messenger. That is, proper interactive responses and appropriate control of the discussion process are essential to obtain a high level of performance. (2) It is important to make discuss rules based on meta-cognitive and interactive protocols in the early stage. Explicit rules relating to internal group processes as well as communication medium use are even more important to groups with Internet Messenger than face-to-face groups.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.29-42
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• 2020

The purpose of this study is to present a qualitative research method for extracting and analyzing the comments written by YouTube video users. To do this, we used YouTube users' feedback to measure the hedonic, social, and utilitarian gratification of use and gratification theory(UGT) through by using analysis and topic modeling. The result of the measurement found that the first reason why users watch the trot singer, Cho Myung-sub's video in the KBS Korean broadcasting channel is to achieve hedonic gratification with high frequency. In word-document network analysis, the degree of centrality was high in words, such as 'cheering', 'thank you', 'fighting', and 'best'. Betweenness centrality is similar to the degree of centrality. Eigenvector centrality also shows that words such as 'love', 'heart', and 'thank you' are the most influential words of users' opinions. The results of the centrality analysis present that the majority of video users show their 'love', 'heart' and 'thank you' for the video. it indicates that the high words in centrality analysis is consistent with the high frequency words of hedonic and social gratification dimension of the UGT. The study has research methodological implication that shed light on the motivations for watching YouTube videos with UGT using text mining techniques that automate qualitative analysis, rather than following a survey-based structural equation model.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.4
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• pp.43-54
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• 2021

Purpose - Stakeholders play a vital part in the company's CSR activities and they are part of the company's achievement and affect the company's achievement or business objectives. This study aims to add insight into the already existing knowledge how the organizational culture can promote corporate social welfare activities. Research design, Data, and methodology - The current authors obtained text data for the possible practical suggestions which might be used for the creation of coding method. That implies that the present author investigated only trustable textual sources to provide for the possible solutions such as peer-revied sources and published book. Result - Research results indicated that organizational culture promotes corporate social welfare activities by making people know their values and understand how they come about. Not every community knows what its members want and how to achieve its needs. Sometimes, a community can obtain the values and principles of an organization and incorporate them into community values. Conclusion - Executive leadership and customers are part of society. Any strategy that influences their operation and works ethic influences the contact of the community. This research found methods vital in setting up an excellent culture that enhances profitability and the corporate social welfare activities through motivation and communication.