• Korea Trade Review
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• v.42 no.3
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• pp.1-24
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• 2017

This study investigates any possible influences of the fourth industrial revolution on international trade in Korea and suggests strategies to promote export of Korea in order to secure one of the biggest international trade countries. The fourth industrial revolution is the fourth major industrial era since the third industrial revolution in the 18th century which used electronics and information technology to automate production. This can be characterized as a range of emerging technologies that are fusing the physical, digital and biological worlds, and impacting all disciplines, economies and industries. Since this revolution is expected to have effects on international trade as well as whole industrial society, it examines how it may affect international trade of Korea in terms of the subject, the object, markets and forms of international trade. After that, it provides the strategies to promote Korean export in order to overcome the risks around the low economic growth of the recent years and the depressed domestic economy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.4D
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• pp.613-622
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• 2011

The aim of this study is to provide fundamental references for the establishment of environmental policies by using and evaluating EPI (Environmental Performance Index). Data of EPI for this study come from the 2010 World Economic Forum. By using these variables, we have comparison analysis of EPI of 163 countries. Next, the object of similarity analysis using MDS is the OECD countries and shown on PREMAP, drawing the position of each nation in environmental category and environmental policy index. The result of this study shows that there are differences in environmental policy index according to each nation's income and furthermore, similarity analysis makes it possible to locate environmental policy index of each nation in an awareness, which would help to set directions of policies concerning environment through the comparison with other advanced countries. But it could be more worth investigating time-series analysis for the change of environment-related variables because EPI has been just four times published since its first announcement in 2002. Despite, such limits would be overcome through continuous data collected over time.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.536-544
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• 2020

This study provides basic data for finding a plan for future teacher education in the future society by conducting an IPA-analysis of the abilities required for early-childhood who will become talented persons of the future society and the perceptions of early-childhood teachers about the era of the 4th-Industrial-Revolution. The study was conducted with 194 childhood teachers working in early-childhood educational institutions located in Jeju. It used a questionnaire of the demand survey for teacher education development for early-education based on the 4th-Industrial-Revolution. In the era of the 4th-Industrial-Revolution, the capabilities needed for early-childhood were revised and supplemented in 2016 at the World Economic Forum "Jobs Future Report". The frequencies and percentages were calculated to analyze the characteristics of each subject's background variables, the perceptions of early-childhood teachers and teacher education needs, and a t-test was conducted for each item to analyze the difference in importance and performance of early-childhood's competence. In the importance of competence required for infants who become talents for the future, the results showed that early-childhood teachers chose to have a high level of caring-sharing and curiosity-interesting ability. In the performance, they have a high level of caring-sharing and cooperation-communication ability.

• Journal of Legislation Research
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• no.53
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• pp.269-310
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• 2017

This article aims at the study on Improvement of legal System which is related to automated vehicles in the era of the 4th industrial revolution. Legal aspects of driving automation have two view points. One is to permit a automated vehicle, the other is to regulate the behavior of driver on the road. Signifying elements of the 4th industrial revolution are IoT, AI, big data, cloud computing etc. Automated vehicles are the imbodiment of those new ICT technologies. The vehicle management act(VMA) rules about vehicle registration and approval of vehicle types. VMA defines a automated vehicle as a vehicle which can be self driven without handling of driver or passenger. Vehicle makers can take temporary driving permission for testing and research the driving automation. Current definition of automated vehicle of VMA is not enough for including all levels of SAE driving automation. In the VMA must be made also a new vehicle safty standard for automated vehicle. In the national assembly is curruntly pending three draft bills about legislation of artificial intelligence. Driving automation and AI technologies must be parallel developed. It is highly expected that more proceeding research of driving automation can be realized as soon as possible.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.1-20
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• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.169-180
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• 2021

This study analyzed research trends on smart logistics in Korea by conducting social network analysis (SNA) using R. The purpose of this study is to enhance the understanding of the smart logistics field along with the smart logistics status and policy review, and to suggest implications and future research tasks. The analysis period and subjects were 128 academic journal papers on smart logistics-related topics over the past 10 years (2011-2020), and the results were divided into the first half (2011-2015) and the second half (2016-2020). The analysis of the study was carried out step-by-step through frequency analysis, network centrality analysis, and visualization. As a result of the study, the quantitative increase and diversification of the research field were confirmed. It was also confirmed that the concentration of research on core areas increased by increasing the proportion of duplicate keywords. In addition, keywords with high betweenness centrality and degree centrality score such as Logistics, Authentication, Smart, Service, RFID, Technology, and Revolution were presented. Lastly, this study reviewed the structure with a focus on betweenness centrality after visualizing the network with main keywords. As a result, early research was focused on the field of logistics, and after 2016, it was confirmed that the center of research was diversifying and expanding with the development of the 4^th industrial revolution and major technologies.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.6
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• pp.681-689
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• 2019

The 46th Davos Forum of the World Economic Forum (WEF) predicts the continued growth of the 4th industry in the future. Currently, the 4th industry is attracting attention in various academic and practical fields. As a core technology of the 4th industry, Big Data is regarded as a major resource to lead the 4th industrial revolution along with artificial intelligence. As the growing interest in Big Data, researches on it are actively being done. However, literature studies on existing Big Data are focused on qualitative research, and quantitative research is insufficient. Therefore, this study aims to analyze the big data research flow in MIS field and to make academic thirst for quantification. This study has collected 145 abstracts of big data papers published in major journals in MIS field and confirmed that a majority of papers are published in Decision Support Systems Journal. Text mining and text network analysis were performed only for DSS journals to eliminate bias. As a result of the analysis, it was found out that researches on combining big data in the management field between 2012 and 2014, and researches on system development and analysis method for using big data from 2015 to 2017 were conducted.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.17-24
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• 2019

Since the information of $4^{th}$ Industrial Revolution is introduced in WEF (World Economic Forum) in 2016, IoT, AI, Big Data, 5G, Cloud Computing, 3D/4DPrinting, Robotics, Nano Technology, and Bio Engineering have been rapidly developed as business applications as well as technologies themselves. Among the diverse business applications for IoT, wearable devices are recognized as the leading application devices for final customers. This longitudinal study is compared to the results of the 1st study conducted to identify customer needs of activity trackers, and links the identified users' needs with the well-known marketing frame of marketing mix. For this longitudinal study, a survey was applied to university students in June, 2018, and ANOVA were applied for major variables on usable features. Further, potential customer needs were identified and visualized by Word Cloud Technique. According to the analysis results, different from other high tech IT devices, activity trackers have diverse and unique potential needs. The results of this longitudinal study contribute primarily to understand usable features and their changes according to product maturity. It would provide some valuable implications in dynamic manner to activity tracker designers as well as researchers in this arena.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.5
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• pp.119-130
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• 2009

Korea ranked 2nd in the UN Global e-Participation Index and ranked number one as the leader in e-Government for the third consecutive year. However, Korea ranked 51 in the level of information security published by WEF(World Economic Forum), relatively a low level comparing with its great number of users and excellent environments for the Internet service. A series of critical hacking accidents such as the information leak at Auction and GS Caltex emerged consecutively in 2008 year, resulting in the leak of personal & critical information. This led to a strong interest in the necessity and importance of information security and personal information so that demand for IT security is growing fast. In this paper, we survey to benchmark information security in the perspective of service level, system, investment and policy about major foreign countries. Then we research on an effective way to make the most of the benchmark result to Korea e-Government. In addition, the purpose of this paper is to improve national information security index by developing a policy for ISO 27001 ISMS, an international standard for Information Security Management System, and elevate safety and security of the e-Government serviced by central administrative organizations and local authorities.

• Korea Trade Review
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• v.41 no.1
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• pp.91-116
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• 2016

This study proposes a research model to investigate the effect of ICT on national culture and values. Why should we research the relationship between ICT and culture? We do this to shed light on the cultural framework and find areas for further research. This research has found that the development of Information Communication Technology(ICT) has proved to have a positive effect on the quality of individualism (B0.603), there is a decrease in power distance index(B-0.331)and a correlation between individualism and wealth. Also, the development of Information Communication Technology(ICT) has proved to have a positive effect on the quality of Long Term Orientation. As for adoption and use of ICT, the role of culture is important for many reasons. First of all, we can recognize the importance of national culture and organizational culture in establishing the ability of the overall culture to adapt, efficiently merging with different cultures and overcoming potential obstacles of these tasks. This is the evidence supporting the current theory. Our research shows that development of technology highly influences deep human values. Furthermore, the data points used in this research are from World Economic Forum, World Development Indicator and International Telecommunication Union. In order to understand and develop social evolution and progress, we tried to use data that is fair and verifiable.