• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.61-70
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• 2020

The 4th Industrial Revolution is a revolutionary change through intelligence, big fusion and personalization, and the importance of sensor technology that is the basis of core technology is emerging. This study empirically analyzes the derivation of national strategy for R&D of sensor technology, and draws out the effect of technology internalization effort through strategic R&D activities on technical performance and further on national economy. The research and development results are calculated for each type of technology internalization, and the results of the research and development are verified to establish a structure that contributes to the national economic performance. As a national technology internalization strategy, considering its own R&D investment and joint research and development, we examine the impact of each factor on patents and GDP, focusing on causality and ripple effects. For causality analysis, Grandeur causality analysis shows that R&D investment and joint research and development in all countries have mutual causal relationship with GDP. The implications are as follows. First, it is necessary to establish the policy of national economic development through the internalization of technology and knowledge. Second, it is necessary to establish policies according to the type of knowledge internalization. Third, it will be necessary to create an ecosystem environment based on a virtuous relationship between knowledge internalization and national technology and economic development.

• Journal of Korea Multimedia Society
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• v.23 no.3
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• pp.499-507
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• 2020

This paper is one of the types of 'sharing economy', a social economic model that borrows and shares things, spaces, and services from the development of the 4th Industrial Revolution. Through sharing of empty space and time in the city, I would like to suggest a way to reduce the closure of small business owners in order to create jobs, which is one of urban problems in the community. We also build a platform that utilizes the free time and space of buildings through space sharing, one of the types of sharing economy, and provides education programs for start-up education, promotion, marketing, and consulting by matching small business owners with building owners. Therefore, in this paper, by sharing the space and time, the landlord and the small business can share the profits of the small business by reducing the business owner's closure and the job creation plan. Coaching urban regeneration was proposed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.1
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• pp.103-120
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• 2018

Global conglomerates in the late 2010s are seeking changes from the existing method of financial growth into that of sustainable growth, as they are facing the age of 4th industrial revolution. In preparation for this change of the times and to stay competitive, small businesses are required to produce creative knowledge, and systematically share and store it by means of implementing voluntary and specific changes in their convictions and actions. This study aims to empirically examine how the ICT small businesses' organizational learning participants' self-leadership affect their job satisfaction through organization orientation and Leader-Member Exchange(LMX). The research sample consists of the first to third-year employees that have previously participated in the small businesses' organizational learning support project, and of learning leaders, group leaders, and group members from companies that have previously concluded the project. The results are as follows: First, the self-leadership at the ICT small businesses' organizational learning project has been shown to have a positive effect on job satisfaction. The same positive results are shown in learning orientation and LMX. Second, the learning orientation has been shown to have a positive effect on job satisfaction. Third, the LMX has been shown to have a positive effect on job satisfaction.

• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.95-99
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• 2018

As technologies develop, the digital health sector is gradually expanding. Internationally, the global summit for Digital Health named Global Digital Health Partnership (GDHP) was launched in 2018. Many countries are participating in GDHP and share their policy experiences on digital health and find the ways to cooperate with participating countries (13 countries, including South Korea, and Hong Kong). This article reviewed the international trends in digital health policy environment and evidence assessment focusing on GDHP activities, and derived implications for health technology assessment of digital health. Consequently, to assess the intervention effects of digital health is very complex and the assessment should be considered multidimensional aspects (social, clinical, and technical). In addition the patient experience should be assessed qualitatively. Health technology assessment (HTA) should assess the effect of digital health policies to changes in health care systems resulting from the application of advanced technologies related to the 4th Industrial Revolution. Digital health is also related to new HTA, HTA of existing technologies, and R&D on the promising health technology. Therefore, it is necessary to review the trends of the technology's management policy consistently through the HTA of digital health.

• Knowledge Management Research
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• v.20 no.2
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• pp.59-86
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• 2019

As the era of the 4th Industrial Revolution evolves, not only private companies but also government agencies and institutions in public sector are adopting cloud computing services converged by new information technologies such as IoT, big data, and artificial intelligence to strengthen competitiveness and create new business values. The purpose of this study is to investigate the relationship between innovation characteristics, innovation resistance, and acceptance of innovative technologies from the perspective of cloud computing services in the public sector. In this study, we collected the survey data from 190 employees of IT division in the public sector, and analyzed the causal relationship between innovation characteristics, technostress, innovation resistance, and intention to adopt the cloud computing service that they perceived. As a result of the analysis, we demonstrated that innovation characteristics, technostress have significant effect on innovation resistance and acceptance intention, and that top executive commitment and innovation resistance also have significant effect on acceptance intention. This study provides meaningful practical implications for the staffs preparing for adoption of cloud computing services and the executives who make the final decision in public sector.

• Journal of Information Technology Services
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• v.20 no.1
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• pp.117-130
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• 2021

The Korean society is transforming into the intelligence information society rapidly during the 4th industrial revolution. But middle aged and elderly people are hard to access and accept these changes. So, the purpose of this study is to examine the Intelligence information society factors affects life satisfaction among the elderly by moderating effect of on/offline social capital. This study analyzed data of 2,303 people between the ages over 50 from the 2018 Digital Divide Survey conducted by the National Information Society Agency (NIA) using SPSS26.0. The result showed that sex, age, education, household type, Intelligence information society perception, expectation, anxiety are significantly effected life satisfaction. Also on/offline social capital had moderating effect between intelligence information society and life satisfaction. Based on the results of this study proviedes a basis for developing a success model for elderly people who accepts the intelligence information society. Also, this study identifies the implications and future studies are suggested.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.310-316
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• 2022

The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.9
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• pp.47-52
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• 2020

With the 4th industrial revolution, condition monitoring using machine learning techniques has become popular among researchers. An overload due to complex operations causes several irregularities in MOSFETs. This study investigated the acquired voltage to analyze the overcurrent effects on MOSFETs using a failure mode effect analysis (FMEA). The results indicated that the voltage pattern changes greatly when the current is beyond the threshold value. Several features were extracted from the collected voltage signals that indicate the health state of a switched-mode power supply (SMPS). Then, the data were reduced to a smaller sample space by using a principal component analysis (PCA). A robust machine learning algorithm, the support vector machine (SVM), was used to classify different health states of an SMPS, and the classification results are presented for different parameters. An SVM approach assisted by a PCA algorithm provides a strong fault diagnosis framework for an SMPS.

• Health Policy and Management
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• v.29 no.2
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• pp.99-104
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• 2019

On May 1, 2019, the Minister of Health and Welfare announced publicly the first Comprehensive Plan of National Health Insurance (NHI). The Comprehensive Plan which is the 5-year plan including expenditure and revenue aspect of NHI, is desirable in 42 years of introduction of NHI and 30 years of universal coverage of NHI, though the Plan was late and had some conflict process. The Comprehensive Plan was established without evaluation of Moon's Care Plan, did not included to relationship with NHI and other health security systems, and did not have the blue print of NHI. The Plan was not sufficient in content of adequate health care utilization and relationship with service benefit and cash benefit. The Comprehensive Plan should be modified in considering the blue print of NHI and national healthcare system with participating stakeholder in turbulent environment-low fertility, rapid ageing, low economic growth rate, era of non-communicable diseases, unification of the Korean Peninsula, and 4th industrial revolution. Therefore, I suggest to establish the President's Committee of Improving Healthcare System for the blue print of health care and NHI.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.247-255
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• 2019

In this paper, we propose the effect of project-based robot education program on the interest toward robots and the computational thinking of elementary school students. Software education is being actively carried out around the world in order to cultivate software talents in accordance with the 4th industrial revolution. As a result, the importance of robots in education has increased, and education using robots has been actively introduced. However, the activities of simply assembling and repeating robots in schools were not effective in enhancing elementary school students' interest toward robots and computational thinking. Therefore, it is necessary to overcome traditional teaching-learning methods and to develop robot education. So, in this study, the robot education program that introduces project-based learning was developed for improvement of interest toward robots and computational thinking of elementary school students. In order to verify the developed education program, 114 elementary six grade students were selected as research subjects and the traditional teaching-learning method and project-based learning were applied to the experimental and control group. As a result, project-based learning was more effective for elementary school students' interest toward robot than traditional teaching-learning method. In computing thinking, the experimental group showed a significant improvement, but there was no statistically significant difference in the post-test.