• Journal of Digital Convergence
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• v.15 no.10
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• pp.211-219
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• 2017

Currently, enterprises are in a rapid flow of comvergence of industries in the ear of the 4th Industrial Revolution. Under this circumstances, change of economic condition, change of industrial structure, increase of women's advance into society. Based on such background of the times, the aim of this study is to examine the effect of work-home conflict on burnout and the moderating effect of self-efficacy in that relation. The research samples were obtained from nurses at hospitals in Daejeon-si, Sejong-si, Chungcheongnam-do and Chungcheongbuk-do. Total 360 copies of valid questionnaire was used for analysis. Specific analysis results from the research are as follows. Firstly, it was found that Work Interference with Family(WIF) had positive (+) impact on physical burnout. Family Interference with Work (FIW) had no impact on physical burnout. Secondly, it was found that Work Interference with Family(WIF) had positive (+) impact on emotional burnout and Family Interference with Work (FIW) had negative (-) impact on emotional burnout. Thirdly, self-efficacy had a buffer effect on the negative impact of Work Interference with Family upon emotional burnout. However, there was no moderating effect of self-efficacy in the relationship between Family Interference with Work (FIW) and emotional burnout. Therefore, it needs to consider a plan to reduce conflicts between work and family according to the causes of conflicts and it also needs to consider relevant results.

• Industry Promotion Research
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• v.8 no.3
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• pp.19-35
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• 2023

Recently, the government has emphasized the importance of establishing an innovation system for SMEs as part of an innovative growth strategy for national economic development. SMEs in Korea are experiencing many difficulties due to the loss of industrial competitiveness due to the powerful wave of the 4th industrial revolution along with the pandemic of COVID-19 that started in 2020. In relation to environmental changes, it is emerging as an important issue for SMEs to pursue open innovation for survival and growth, as well as to possess excellent technological innovation capabilities. In accordance with the need for such research, this study analyzed the factors that affect business performance or technological performance of small and medium-sized manufacturers, and identified the relationship between these influencing factors and corporate performance. The results of this study suggest that it is important for SMEs to effectively utilize R&D services and technology innovation capabilities and resources possessed by SMEs to secure a competitive advantage. The results of this stu dy are considered to be able to provide basic data and information necessary for SMEs to secu re a competitive edge and enhance industrial competitiveness through government support systems and open innovation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.383-384
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• 2022

Following the development of technologies such as digital twin, IoT, and AI after the 4th industrial revolution, decision-making problems are being solved based on high-dimensional data analysis. This has recently been applied to the port logistics sector, and a number of studies on big data analysis, deep learning predictions, and simulations have been conducted on container terminals to improve port productivity. These high-dimensional data analysis techniques generally require a large number of data. However, the global port environment has changed due to the COVID-19 pandemic in 2020. It is not appropriate to apply data before the COVID-19 outbreak to the current port environment, and the data after the outbreak was not sufficiently collected to apply it to data analysis such as deep learning. Therefore, this study intends to present a port data augmentation method for data analysis as one of these problem-solving methods. To this end, we generate the container stowage situation of the yard through a generative adversarial neural network model in terms of container terminal operation, and verify similarity through statistical distribution verification between real and augmented data.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.253-264
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• 2017

The advent of the $4^{th}$ industrial Revolution requires entrepreneurship to the student as one able to produce creative solutions of complex problems embedded in society with active engagement. Maker Education indicates a new educational approach in which students produce a tangible output as a concrete solution to their problems, experiencing spirits of productive failure, sharing and openness with others during the process due to its educational values and effects which are well-matched with entrepreneurship. This study, in this context, aimed to verify the effect of the maker education in the sense of cultivating entrepreneurship: For this purpose, this study conducted a case study of Maker Education to 56 university students during 7 weeks (14 hours) in K university. The results based upon data analysis collected from reflective journals and interviews showed attitude change of the students in terms of entrepreneurship characterized as self-directedness, risk-taking, and creativity. For more active practices of Maker Education in higher education, both instructors' role as the facilitator, and easily and freely accessible Maker Space should be considered.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.115-133
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• 2020

With the rapid changes in the industry paradigm including the 4th industrial revolution, the survival and sustainable growth of SMEs and venture capital companies are facing a more difficult environment. The organizational capabilities help these companies to overcome the difficulties, such as absorption capacity, innovation capacity, adaptation capacity. It require many interconnected functions and capabilities to increase company performance. This study is based on the research about market adaptation capacity (agility, flexibility)'s mediating effect between organizational capacity(absorption capacity, innovation capacity, adaptation capacity) and corporate performance(financial, non-financial performance). According to the results of empirical analysis, First, Absorption capacity have a significant effect on agility. Second, Innovation capacity have a significant effect on flexibility. Third, Innovation capability have a significant effect on corporate performance. Fourth, Flexibility have a significant effect on corporate performance. Fifth, The mediating effect of flexibility between organizational capability and corporate performance was verified. Finally this paper also propose some suggestions on how to increase corporate performance for SMEs.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.116-127
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• 2022

Recently, the smart city market based on the 4th industrial revolution is rapidly expanding worldwide and is being promoted in various ways. Korea has promoted various smart city public and private partnership projects, but there were limits to the activation of smart city public and private partnership projects due to insufficient enactment and revision of laws, public-oriented ordering method, and lack of private execution capacity. Therefore, this study intends to suggest key success factors for each stage of smart city public and private partnership projects through the analysis of the order status of the smart city national pilot city and the analysis of previous research. Through this, it is expected that it will be possible to eliminate various types of risks that may occur in the domestic smart city public and private partnership projects and contribute to revitalizing the smart city public and private partnership projects.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.147-155
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• 2024

Currently, the 4th Industrial Revolution, like other revolutions, is bringing great change and new life to humanity, and in particular, the demand for and use of drones, which can be applied by combining various technologies such as big data, artificial intelligence, and information and communications technology, is increasing. Recently, it has been widely used to carry out dangerous military operations and missions, such as the Russia-Ukraine war and North Korea's reconnaissance against South Korea, and as the demand for and use of drones increases, concerns about the safety and security of drones are growing. Currently, a variety of research is being conducted, such as detection of wireless communication abnormalities and sensor data abnormalities related to drones, but research on real-time detection of threats using radio frequency characteristic data is insufficient. Therefore, in this paper, we conduct a study to determine whether the characteristic data is normal or abnormal signal data by collecting radio frequency signal characteristic data generated while the drone communicates with the ground control system while performing a mission in a HITL(Hardware In The Loop) simulation environment similar to the real environment. proceeded. In addition, we propose an unsupervised learning-based threat detection system and optimal threshold that can detect threat signals in real time while a drone is performing a mission.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.462-474
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• 2020

The purpose of this study is to provide fundamental data for robot-based education at home by analyzing the factors affecting the recognition and technology acceptance attitudes of mothers with young children. For this purpose, a questionnaire survey was administered to 319 mothers with young children in Seoul and Gyeonggi Province, and one-way ANOVA, chi-square, correlation analysis, and regression analysis were conducted for statistical verification. As a result, there was a significant difference in the robot-based education at home of mothers to child according to their final educational background. Mothers' acceptance intention, perceived ease of use, perceived usefulness, social influence of robot application and personal innovation were all positively correlated. The factors that affect intention of acceptance were perceived ease of use and perceived usefulness of robot application. Conclusively, mothers with young children use robot-based education at home when it is more convenient to use and has educational effects more than the personal innovation or social influence. These study results are meaningful ahead of the 4th industrial revolution in that we provided basic data for the correct direction of robot-based education to young children at home.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.8
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• pp.359-368
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• 2017

What is the term "intelligence information society", which is a term that has been continuously discussed recently? This means that the automation beyond the limits of human ability in the whole societies based on intelligent information technology is a universalized social future. In particular, it is a concept that minimizes human intervention and continuously pursues evolution to data (or big data) -based automation. For example, autonomous automation is constantly aiming at unmanned vehicles with artificial intelligence as a key element. However, until now, intelligent information research has focused on the intelligence itself and has made an effort to improve intelligence logic and replace human brain and intelligence. On the other hand, in order to replace the human labor force, we have continued to make efforts to replace workers with robots by analyzing the working principles of workers and developing optimized simple logic. This study proposes important strategies and directions to implement intelligent information education policy and intelligent information technology research strategy by suggesting access strategy, education method and detailed policy road map for intelligent information technology research strategy and educational service. In particular, we propose a phased approach to intelligent information education such as basic intelligence education, intelligent content education, and intelligent application education. In addition, we propose education policy plan for the improvement of intelligent information technology, intelligent education contents, and intelligent education system as an important factor for success and failure of the 4th industrial revolution, which is centered on intelligence and automation.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.75-86
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• 2019

Globally, the change in higher education is gradually moving toward a trend that seeks a change in innovative higher education through the revitalization of digital-based education. Accordingly, this study designed a customized education model based on e-learning that can be used in undergraduate education and development of lifelong vocational skills. The use of online learning platforms and the expansion of education are major factors that change the overall higher education system as the form and content of curriculum changes around the world. In order to establish a customized education model using online learning platform, this study analyzed major overseas advanced education cases and selected the basic direction of customized learning as personalized learning, competency based learning, and training for talents leading the 4th Industrial Revolution. Then, FGI was conducted for undergraduate and lifelong vocational ability development experts. As a result, a customized education model using an online learning platform was derived from a degree-type model available in undergraduate education and a non-degree-type model available in the field of lifelong vocational ability development, and each operation strategy was suggested.