• Journal of Information Technology Applications and Management
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• v.22 no.4
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• pp.225-251
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• 2015

This paper analyzed factors for employees to violate information security policy in financial companies based on the theory of reasoned action (TRA), general deterrence theory (GDT), and information security awareness and moderating effects of perceived sensitivity of customer information. Using the 376 samples that were collected through both online and offline surveys, statistical tests were performed. We found that the perceived severity of sanction and information security policy support to information policy violation attitude and subjective norm but the perceived certainty of sanction and general information security awareness support to only subjective norm. Also, the moderating effects of perceived sensitivity of customer information against information policy violation attitude and subjective norm were supported. Academic implications of this study are expected to be the basis for future research on information security policy violations of financial companies; Employees' perceived sanctions and information security policy awareness have an impact on the subjective norm significantly. Practical implications are that it can provide a guide to establish information security management strategies for information security compliance; when implementing information security awareness training for employees to deter violations by emphasizing the sensitivity of customer information, a company should make their employees recognize that the customer information is very sensitive data.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.64-91
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• 2018

This study explores the interactive pattern among social issue, academic research, and governmental policy on science and technology during the last 20 years. In particular, we try understand wether the science and technology policy research and governmental policy meets social needs appropriately. In order to do this, we have collected text data from news articles, papers, and governmental documents. Based on these data, social network analysis and cluster analysis has been carried out. According to the results, we have found that science and technology policy researches tend to focus on fragmented technological innovation meeting urgent practical needs at the initial stage. However, recently, the main characteristics of science and technology policy research shows co-evolutionary patterns responding to society. Furthermore, time lag also has been observed in the process of interaction among the three bodies. Based on these results, we put forward some suggestions for upcoming researches in science and technology policy. Firstly, analysis levels are needed to be shifted from micro level to mezo or macro level. Secondly, more research efforts are required to be focused on policy process in science technology and its public management. Finally, we have to enhance the sensitiveness to social issues through studies on agenda setting in science and technology policy.

• Industrial Engineering and Management Systems
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• v.13 no.1
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• pp.107-115
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• 2014

Offshore wind power has been extremely popular in recent years, and in the energy technology field, relevant research has been increasingly conducted. However, research regarding patent portfolios is still insufficient. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolios and to investigate major assignees and countries to obtain a thorough understanding of the developmental trends of offshore wind power technology. The findings may be used by the government and industry for designing additional strategic development proposals. Data mining methods, such as multiple correspondence analyses and k-means clustering, were implemented to explore the competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technological positions and patent portfolios of the countries and manufacturers are different. Additional technological development strategy recommendations were proposed for the offshore wind power industry.

• The Journal of Industrial Distribution & Business
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• v.11 no.11
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• pp.29-38
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• 2020

Purpose: The problem of housing poverty among young people is a very important problem for the nation. Therefore, the main purpose of this paper is to identify the problems of the government's housing support policy for young people. And it is in presenting specific solutions by fully reflecting the opinions of experts. Research design, data and methodology: This study consisted of analyzing the following three research topics: 1) the differences of youth residential support housing policy impact on young adults' housing stability, 2) the problems and solutions of youth housing support policy, and 3) the differences of experts' opinions on the impact of government policy on youth housing stability. The subject of this study is the government's seven housing policies for young people. The targets include Happy Public Rental Housing (Happiness Housing), Station Area Rental Housing for youth (Station Area 2030), Public Dormitory for College Students (Public Dormitory & Hope Dormitory), Jeonse Rental Housing for College Students (Subject Lease Rental Housing for College Students), Social Housing for Young People, and Share House. The data was organized through expert surveys from 1st to 30th June 2020. The experts surveyed include professors & researchers, public officer & public institutions staff, and private developers of young adults' housing. The methodology of analysis on the problem and the solution of government policy was Frequency analysis. And analysis methods on differences of experts' opinion were ANOVA, Levene' test, and Schefe test. Results: Problems in Government's youth residential support housing policy include high rents, lack of supply, difficulty in acquiring rental housing, inconvenience in using shared spaces, conflicts with cohabitants, and invasion of privacy. Solutions include expanding supply to urban areas, establishing long-term plans, securing privacy, diversifying business methods, establishing platforms for rental housing transactions, and expanding various public support (financial support, etc). Conclusions: There was a difference in perception among groups of experts on the impact of public rental housing (called 'happiness housing') in youth housing stability. It is very urgent to come up with the most reasonable policy to support youth housing. This requires in-depth discussions by experts to narrow their differences.

• Journal of Powder Materials
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• v.29 no.2
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• pp.166-175
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• 2022

Ppuri or Root technology primarily includes technologies such as casting, mold, plastic working, welding, heat treatment and surface treatment. It is regarded as an essential element for improving the competitiveness of the quality of final products. This study investigates the current status of smart factory implementation for Ppuri companies and analyzes the influencing relationships among various company factors. The factors affecting smart factory implementation for Ppuri companies are sales, exports, number of technical employees, and holding corporate research institutes. In addition, this research shows that even if smart factory implementation is pursued for data collection, data utilization is not implemented properly. Thus, it is suggested that the implementation of smart factories requires not only the availability of facilities and systems but also proper data utilization.

• Health Policy and Management
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• v.22 no.1
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• pp.145-162
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• 2012

The purpose of this study is to understand magnitude and its related factors of user's cost-sharing for non-covered services in long-term care facilities. We corrected data for 1,016 subjects, based on the long-term care benefits cost specification. Eighteen subjects were excluded from the data analysis due to missing data on family care-givers characteristics. Finally, 998 subjects were included in the study. The average cost of non-covered services per month was 209,093 won and distributed from 0 to 1,011,490 won. There was a significant difference by the characteristics of family care-givers and long-term care facilities. The monthly average cost for meal materials per person was 199,181 won(0~558,000), average cost of additional charge caused by using private bed was 232,992 won (50,000~600,000), and costs for haircut and cosmetics were 8,599 won. For the rest, there were various programs costs(93,328 won), diaper and its disposal cost(109,628 won), purchase cost for daily necessaries(24,435 won) and etc. The related factors for the magnitude of non-covered services expenditures were education level of family care-givers, occupancy rate and location of LTC facilities, and the costs of using private bed, haircut and cosmetics, and various programs among non-covered services. These findings suggest that present level range of LTC facilities users' cost-sharing is wide and it is urgent to prepare the standard guideline for cost and level in non-covered services.

• Korean Educational Research Journal
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• v.43 no.1
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• pp.89-123
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• 2022

This research aimed to explore the nature of teachers' experiences of multicultural education in primary schools with ethnic diversity in the Republic of Korea and draw policy implications. For this study, the researchers interviewed 15 primary school teachers using semi-structured questionnaires in mine different schools. The participating teachers were in charge of the multicultural education in schools with ethnic diversity in two rural counties in the Republic of Korea. The analysis of the empirical data suggests that teachers stationed in ethnic diversity have not been trained for the diverse population nor multicultural education in general. In addition, they were struggling with the lack of teaching resources including textbooks for multicultural education, support for students and their parents in need of learning Korean as a foreign language, accurate data of those students etc. These teacher policy implications are suggested while discussing the findings; such as the importance of practical in-service training opportunities, quality teaching resources, Korean as Second Language(KSL) experts, and accurate data of students with ethnic diversity.

• Health Policy and Management
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• v.15 no.4
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• pp.1-25
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• 2005

Legislation on pharmaceutical reimbursement decision using economic evaluation results was made in Korea in fm, but has yet to be fully implemented. We evaluated the quality of Korean economic evaluation studies of pharmaceuticals to understand gaps between legislation and implementation. From this evaluation, we propose policy options that might strengthen the research Infrastructure In order to support such studies. We reviewed 23 published studies for drugs conducted between 1996 and 2004. Evaluation criteria included methodological characteristics, healthcare system characteristics, population characteristics, and applicability of results. Large variation in study quality was observed, particularly with study design, outcome data, treatment patterns and interpretation. Korean clinical data used was mostly from observational studies of 1-2 hospitals. Foreign data was extracted from clinical trials that did not Include Asian population and their selection criterion was not clarified. With respect to treatment patterns, medical records and hospital bills were used without adjustment regarding area, hospital type, and others. And next frequent situation relied on expert opinion from academic physicians in specialty practice. preference measures, when used, were not elicited from the Korean population. $78.3\%$ of studies did not clarify the funding source. If the Korean economic evaluation policy is to provide meaningful data for decision makers, the quality of cost-effectiveness studies will need to improve dramatically. This may involve access to or creation of better data, more diverse funding, unproved training of researchers and evaluators, and partnerships with technology manufacturers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.48
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• pp.89-99
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• 1998

The purpose of the study was to identify the relationship of the logistics activities with the overall performance among the Korean industries, in order to suggest ways of enhancing the level of effectiveness in logistics management. On the basis of current logistics literature and research data, an analysis had been attempted to provide the study with a theoretical framework, followed by an empirical research that analyzed, among the randomly selected companies, the relations between logistics activities and management policy; logistics activities and logistics environment; logistics environment and the usage of computer software; management policy and the usage of computer software; management policy and performance; logistics environment and performance. Analyses of the data suggested that the companies that lay heavy emphasis on logistics effectiveness showed higher performance; management policies of the companies are influenced by their logistics characteristics; the more strongly is a company oriented logistically, the higher effectiveness in logistics activities it maintains; there is a significant relationship between the logistics environment a company is operated in and the company's reliance on logistically oriented information technologies; there is a close relationship between a company's logistics activities and its business outcome.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.1-9
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• 2014

This research describes strategies to promote the growth of the Big Data industry and the companies within the ecosystem. In doing so, we identify the roles and responsibilities of various objects of this ecosystem and Big Data concepts. We describe the five components of the Big Data ecosystem: governance, data holders, service users, service providers and infrastructure providers. Related to the Big Data industry, the paper discusses 13 business strategies between the five components in the ecosystem. These strategies directly respond to areas of research by the Big Data industry leading experts on its early development. These strategies focus on how companies can gain competitive advantages in a growing new business environment of Big Data. The strategy topics are as follows: 1) the government's long term policy, 2) building Big Data support centers, 3) policy support and improving the legal system, 4) improving the Privacy Act, 5) increasing the understanding of Big Data, 6) Big Data support excavation projects, 7) professional manpower education, 8) infrastructure system support, 9) data distribution and leverage support, 10) data quality management, 11) business support services development, 12) technology research and excavation, 13) strengthening the foundation of Big Data technology. Of the proposed strategies, establishing supportive government policies is essential to the successful growth of thee Big Data industry. This study fosters a better understanding of the Big Data ecosystem and its potential to increases the competitive advantage of companies.