• The Journal of Society for e-Business Studies
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• v.18 no.1
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• pp.57-70
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• 2013

A variety of SME ICT support programs has been very great significance and performance for Improving national competitiveness and constitution strengthening in Korea's industry. However, it could not solve ICT gap between each SMEs. In this qualitative study, we analyzed ICT support programs for SME and collected requirements from the perspective of the consumer. Then we designed ICT policy strategies and detailed support program for SME in Digital Economy.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.143-154
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• 2019

The purpose of this study is to explore innovative adaptation of IT systems worldwide to support process-focus assessment. To this end, the study presents four cases from Australia, Singapore, the U.S.A., and Korea to inform educational policy and technology researchers and practitioners. Based on comparing the four chosen cases as benchmarks, the study concluded that IT systems and technologies can expedite and improve school interventions to enhance student learning in terms of time and quality. Also, educational big data and learning analytics can be used to systematically monitor and communicate individual student's progress among school stakeholders (i.e., teachers, students, parents, and administrators). Lastly, the study made some suggestions to support process-focused assessment in schools as following : 1) A more evidence-based, systems approach is needed to integrate the curriculum, instruction, and assessment to bridge the gap between educational policy and school practice; 2) It is critical to create ICT-friendly school environments so that meaningful data could be collected, analyzed, and stored from individual students and school units; 3) Teacher professional development is another area that needs special considerations and support to successfully implement process-focused assessment in schools.

• Journal of the Korea Safety Management & Science
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• v.21 no.3
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• pp.1-9
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• 2019

The Industrial Innovation Movement, based on win-win cooperation with SMEs, is a structure that enables suppliers who have struggled with corporate growth through productivity innovation due to poor manufacturing environment and lack of innovation. To this end, consultants and technical experts will support production innovation activities to improve production methods and improve productivity through process and management consulting. The purpose of this study was to explore the driving factors of the industrial innovation movement to improve the corporate ecosystem by improving the productivity of SMEs using modified IPA. The research results are as follows. First, in order to revitalize the Industrial Innovation Movement, the CEO-related elements of the participating companies should be maintained and strengthened. The motivation, education support, innovation organizational culture, the establishment of an innovation promotion system requires centralization of efforts for improvement. Second, in order to revitalize the Industrial Innovation Movement, the consultant's ability to analyze problems and suggest alternatives should be continuously strengthened. Third, in terms of the Central Promotion Headquarters, it was found that the Industrial Innovation Movement would be successful if the public information, industrial inspection for benchmarking, and provision of various information to support innovation activities were urgently improved.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.245-252
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• 2022

Risk identification for bridge projects is a knowledge-based and labor-intensive task involving several procedures and stakeholders. Presently, risk information of bridge projects is unstructured and stored in different sources and formats, hindering knowledge sharing, reuse, and automation of the risk identification process. Consequently, there is a need to develop structured and formalized risk information for bridge projects to aid effective risk identification and automation of the risk management processes to ensure project success. This study proposes a semantic risk breakdown structure (SRBS) to support risk identification for bridge projects. SRBS is a searchable hierarchical risk breakdown structure (RBS) developed with python programming language based on a semantic modeling approach. The proposed SRBS for risk identification of bridge projects consists of a 4-level tree structure with 11 categories of risks and 116 potential risks associated with bridge projects. The contributions of this paper are threefold. Firstly, this study fills the gap in knowledge by presenting a formalized risk breakdown structure that could enhance the risk identification of bridge projects. Secondly, the proposed SRBS can assist in the creation of a risk database to support the automation of the risk identification process for bridge projects to reduce manual efforts. Lastly, the proposed SRBS can be used as a risk ontology that could aid the development of an artificial intelligence-based integrated risk management system for construction projects.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.36-43
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• 2023

This study aims to derive discourse's linguistic meaning, production method, and social practice implications by analyzing news reports on de-facility for people with disabilities. To this end, the discourse was analyzed by applying Fairclough's framework of critical discourse analysis. The subject of analysis is a news article on the de-facility of the disabled on the N portal site, and the analysis period is one year, from January 1 to December 31, 2022. First, as a result of the study, the surface meaning of the news discourse on the de-facility for disabled people was ideological through the seriousness of the problem for disabled people, the poor environment, and the policy of de-facility for disabled people separated from reality. Second, the social meaning of the de-facility news discourse for disabled people appeared from a realistic perspective, such as the structural cause of the problem for disabled people and the need for sensible government policies and measures to practice de-facility for disabled people. Finally, the socio-cultural practical implications of the de-facility news discourse for people with disabilities proposed the development of a systematic and realistic de-facility management manual for the disabled, practical government policy support, and changes in self-support perception for disabled people. The results of this study are expected to help find an alternative direction to reduce the gap between actual policies for de-facility for disabled people and practice in the field in the future.

• Asia pacific journal of information systems
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• v.28 no.1
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• pp.1-18
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• 2018

Despite the increasing interest in the positive effects of smart-work, the introduction rate of domestic firms in Korea is lower than that of other developed countries. A gap also exists between the introduction of smart-work program and the actual use by workers. Thus, even if the smart-work program was introduced to firms, the actual usage rate of the program would still be lower than the introduction rate. Moreover, even if the program was initially used, evidence suggests that the usage rate tends to decrease rather than being used continuously. In this study, we intend to find out the mechanism by which the continuance intention of smart-work is formed. To achieve this objective, we established a research model based on literature on Information System (IS) continuance model and Information & Communication Technology (ICT) support. We also hypothesize that concerns about career disadvantage in the mechanism plays a negative role in the satisfaction of smart-work. To analyze the hypothesis empirically, we surveyed domestic workers who used smart-work. Our data analysis was based on 333 responses. We found that all paths were statistically significant, except for the direct effect of ICT support on perceived usefulness and the direct effect of perceived usefulness on smart-work continuance intention. The results of this study extend existing IS continuance model and suggest implications for practical smart-work implementation and improvement.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.335-344
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• 2011

There have been many leading researches on the North Korean Refugees who were settling in Korea which were mostly focused on raising the Defector issues and seeking how to improve those. It is not so easy to get over social and cultural gap and differences between the South and the North prolonged for more than half a century especially when the possibility of bulk of the North Korean Refugees rushing into the South by any contingency case is very high or South and North should expand social integration on the basis of mutual exchange and cooperation. Local government should grope for any policy switch which can help them have positive postures rather than simple support policy for settlement, as well.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.41-50
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• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• Korean Journal of Social Welfare
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• v.61 no.4
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• pp.333-354
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• 2009

This study decomposes the gender differences on poverty to explain the causes of the poverty gap between male- and female-headed households. In order to do this, we start from examining the extent of the poverty gap between maleand female-headed families and then conduct decomposition of poverty differences by gender using the Oaxaca method. This paper uses the (Urban) Family Budget Survey data from 1982 to 2008 and measures poverty using 50% of the median income poverty line. Major findings of this study are as follows: First, in 2008, the coefficient effect explains 70% or more of the total gender-poverty gap. Second, the trend of gender-poverty gap in the period of 1982~2008 shows that the poverty gap by gender increased in the 1980s', decreased in the 1990s', and a re-increased in 2000s'. Third, comparing the decomposition results in 1982, 1989, 1999, 2008, we found that the share of characteristic effect of the total gender poverty gap has been increased gradually over time. It means the characteristics of the female-headed households have become worse than those of the male-headed households in urban working families. At the same time, the still large coefficient effect suggests that the problems such as the discrimination against matriarchs or the lack of social support for them still play important roles among urban working families in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.145-155
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• 2016

This article investigates the impact of business incubator's support service and manager's capabilities on the start-up economic performance. BI's support services consist of physical infra, management/legal service, networking service, financial service, technical service, and education/training service. The results show that most BI's support services(except education/training service) have a positive effect on the start-up economic performance. This study also analyzes the gap between the importance and the satisfaction of BI's services. The results show that the satisfaction of BI's services is much lower than the importance. It can be explained that the start-ups' expectations are not able to meet. In conclusion, BI's services have a major impact on the start-up economic performance, but actually they didn't meet the expectation of the start-ups. In the future, the quality level of BI's services and manager's capabilities needs to be improved. The improvement will have a positive effect on the survival and growth of the startups.