• Fourth Industrial Review
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• v.2 no.1
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• pp.9-17
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• 2022

Purpose -In general, elementary school is the time to take the first social step away from family relationships with parents or siblings. Recently, AI technology has been widely used in everyday life and society. The purpose of this study is to propose a program that can cultivate AI literacy and self-expression for elementary school students according to the trend of the times. Research design, data, and methodology - In this study, prior to developing a self-expression class program for cultivating AI literacy, we looked at the related literature on what AI literacy is. In addition, the digital learning program was analyzed considering that the current AI literacy is based on the cutting edge of digital technology and is located in the same area as digital literacy. Result -This study developed a curriculum for self-expression and AI literacy cultivation. The main feature of this study is that the education program of this study allows 3rd, 4th, and 5th graders of elementary school to express themselves and to express their career problems by combining culture and art with AI programs. Conclusion -Self-expression activity education for cultivating AI literacy should be oriented toward holistic education and should be education as a way to express oneself in order to improve the quality of life of learners

• Fourth Industrial Review
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• v.1 no.2
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• pp.21-32
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• 2021

Purpose - International diversification, a critical issue in research and practice, undoubtedly represents a growth strategy with great potential impact on firm performance. Although the literature has widely examined the relationship between international diversification and firm performance in international business and strategic management research, it remains unconfirmed. This study, therefore, aims to clarify the relationship as it relates to information service firms. Research design, data and methodology - To examine the international diversification-performance relationship, this study uses a sample of major Korean service firms spread over four industries spanning a period of five years between 2005 and 2009. In this study. generalized least square was used to analyze the relationship between international diversification and performance of service firms. Result - The result showed the U-shaped curvilinear form between international diversification and performance in service firms. Especially, IT service firms may differ from other service firms that the negative effect of internationality may have weaker than other types of service firm. Conclusion - Based on the empirical results, the U-shape relationship between international diversification and performance is confirmed in Korea service firms. Furthermore, information service firm may reduce the initial internationalization cost by transferring codified and digitized information using information and communication technology, so that gain benefit from early international expansion.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.330-331
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• 2021

Newly, the fourth industrial revolution is a way of describing the blurring of boundaries between the physical, digital, and biological worlds. It's a fusion of advances in AI (artificial intelligence), robotics, the IoT (internet of things), 3d printing, genetic engineering, quantum computing, and other technologies. At the world economic forum in Davos, switzerland, in january 2016, chairman professor (klaus schwab) proposed the fourth industrial revolution for the first time. In order to apply the AHP (analytic hierarchy process) analysis method, the first stage factors were designed as Digital Technology, Physics Technology and Biological Technology. In addition, the second stage factors were organized into 8 detailed services presented in the conceptual model. Thus, we present the theoretical and practical implications of these results.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.3
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• pp.519-524
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• 2021

Recently, the fourth industrial revolution has become an area of interest to many countries, mainly in major advanced countries. Artificial intelligence technology, the core technology of the fourth industrial revolution, is developing in a form of convergence in various fields and has a lot of influence on the edutech field to change education innovatively. This paper builds an experimental environment using the DTW speech recognition algorithm and deep learning on various native and non-native data. Furthermore, through comparisons with CNN algorithms, we study non-native speakers to correct them with similar pronunciation to native speakers by measuring the similarity of English pronunciation.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.66-76
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• 2020

We The 4th industrial revolution, the core characteristics of super-intelligence, hyper-connective, and ultrareality, has been actualized. New technologies such as artificial intelligence, big data, the Internet of Things, and high-tech video have begun to be applied to media and advertising. With the introduction of new technologies in the advertising field, innovative changes in advertising types, advertising effects, advertising methods, and advertising contents are expected. Accordingly, We intends to design a future advertising roadmap development by predicting how future advertising will change and develop through future technologies in the 4th industrial revolution era. To design the roadmap, this study analyzes changes in advertising technology, consumer, and media as changes in the advertising environment in the 4th industrial revolution era, and identifies the core changing trends, advertising factors in future advertising through the Delphi Survey on experts in advertising and future fields. We identifies how the future advertising technology, types, media, effects, and fields are developed by the changes of future advertising environments, including technology, consumers, and media in the 4th industrial revolution era. Hence it is expected to help the advertising industry and experts to prepare for future changes.

• Asian Journal of Innovation and Policy
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• v.10 no.1
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• pp.39-67
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• 2021

This study investigated the policy instruments pertinent to the establishment of a regional innovation system in the Mekong Delta that facilitates the development of a countermeasure towards various issues of industrial and technological nature. First, we conducted the research with regard to the status and environment of the region. Second, a field visiting survey was implemented to analyze the results of international efforts and regional capacity to solve the problems attendant upon introducing technologies related to the Fourth Industrial Revolution. Third, we derived the key policy issues and challenges from the results of the field visiting survey and experts' conference with a deep focus on technological transfer and international cooperation to enhance the capability in the science and technology field. Fourth, we conducted the opinion survey of the experts from Korea and Vietnam to converge local opinions from both countries and analyzed the results. The range of research subjects is responding to climate change, managing water resources, coordinating energy and industrial structure, making a resilient Mekong regional ecosystem, smartification of local cities, and improving the life quality of citizens, and so on. The results of this study are expected to be the beginning of fundamental research in the mid to long-term view of the Mekong Delta region innovation system of Korea and Vietnam and to evaluate the master plan.

• Journal of Information Technology Services
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• v.22 no.2
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• pp.1-21
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• 2023

Due to the convergence and complexity of the 4th Industrial Revolution, the boundaries between industries have become unclear and ambiguous. Consequently, there is a lack of research on how firms engaged in this industry are changing their location behavior. Recently, some attempts to classify the industrial groups of the 4th Industrial Revolution and their detail occupations have been made, and this study adopts the classification of Lee and Jung (2020) of the Korea Institute for Industrial Economics & Trade. In this study, the 18 detailed industries commonly included in multiple industrial groups are defined as 'core industries' and are classified into manufacturing and service industries to explore the spatial patterns of firms' location. Specifically, this study aims to examine how the location behavior of firms in core industries of the 4th Industrial Revolution has changed from 2010 to 2019 in the Seoul metropolitan area, using the 「National Business Survey」 data. We employed two methods based on spatial auto-correlation: (i) spatial kernel density estimation analysis and (ii) local Moran's I_i analysis. The results indicate that the core industry firms form more distinct and larger clusters in 2019 based on the clusters formed in 2010. Specifically, manufacturing industry firms tended to concentrate in the southern region of Gyeonggi and parts of Seoul, while serivce industry firms were more concentrated in Seoul. These core industries play a critical role in industries and are closely related to the ICT industries, which generate high-added value and increase productivity in the front and rear industries. This study reveals that the agglomeration of these industries in specific regions is intensifying and may exacerbate regional inequality.

• Journal of The Korean Association of Information Education
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• v.21 no.3
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• pp.335-342
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• 2017

The artificial intelligence, robot technology, Internet of things, and life sciences that create added value while dramatically transforming human life have been highlighted in the fourth industrial revolution, the next industrial revolution. In order to adapt to the 4th industry, it is necessary to educate students to develop fusion thinking and computing thinking ability. Therefore, in this study, we developed a digital Yut Playing system based on physical computing, reflecting STEAM and decomposition, pattern recognition, abstraction, and algorithm design, which are components of computing thinking. By experiencing the developed system and applying it to education, it raised interest and interest in programming education and improved programming lesson for fusion thinking and computing thinking ability.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.102-115
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• 2018

The world's major countries carry forward strategies for enhancing industrial competitiveness, resulting in the fourth industrial revolution while a new growth engine is required to deal with the slow growth of global economy and declining productivity. Artificial intelligence (AI) is regarded as a core technology of the fourth industrial revolution. AI is expected to be implemented rapidly in advertising and media industries. However, it is hard to find an effective way to implement AI in these industries, especially because of how quickly the AI market changes and develops. Therefore, this study seeks the possible industrial influence of AI in advertising and media industries and invigoration plan for AI, by an in-depth interview with 10 professionals who lead the AI market. First, it was analyzed to explore the macroscopic side of the AI market through P (Politics), E (Economy), S (Society), and T (Technology). Also, the applicability of AI in advertising and media industries was explored by analyzing its S (Strength), W (Weakness), O (Opportunity), and T (Threat).The result indicates that it is necessary to build up a nation-wide construction of infrastructure for the fourth industrial revolution to invigorate AI in advertising and media industries. Moreover, a social environment capable of overcoming a hyper-connected society and social risks should be fostered. Lastly, it is urgent for both the industrial and academic world to diagnose the influence of AI in advertising and media industries, to anticipate the future in accordance with technological advance, set a proper direction, to invest actively for technical development of AI, and to formulate innovative policies.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.41-55
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• 2017

Industrial Revolution is a concept and a development that has fundamentally changed our society and economy. Industry 4.0 focuses on the end-to-end digitization of all physical assets and integration into digital ecosystems with value chain partners. At present, we find ourselves at the beginning of this fourth stage, which is characterized by so-called "Cyber-Physical Systems". These systems are a consequence of the far-reaching integration of production, sustainability and customer-satisfaction forming the basis of intelligent network systems and processes. If South Korea ran toward global ICT with the advent of the Fourth Industrial Revolution, North Korea has adhered to a unique Juche science and technology. ICT in South Korea and North Korea seems very difficult to find common interests. However, as seen in the Internet and intranets, information and communication technology can find similarities in many areas than in general science and technology. There are many differences not only in the level of ICT and science and technology but also in the direction. And IT terminology and all technologies are also different. What are we preparing for the unification of North and South Korea? If we look at the science and technology sector at present, there seems to be no systematic preparation by the government. South Korea and North Korea need to be prepared for science and technology cooperation. First, it is necessary to understand the exact situation of North Korea's science and technology. In this study, we will perform research to establish mid and long term plans for revitalization of ICT cooperation between the two Koreas. In this study, we will determine the extent to which the two Koreas utilize ICT based on available ICT capabilities and technologies. To do this, we conducted research to measure and evaluate the ICT development index of North Korea using ICT international index.