• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.155-164
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• 2020

This study identifies the relationship between selection value, existence value, heritage value, pride, and show on satisfaction, and suggests cultural marketing and cultural policy suggestions for Jikji cultural assets to activate Jikji as tourism cultural assets. Was intended. Therefore, the implications of this study are as follows. First, Jikji cultural property officials should develop tourism products that can mix Jikji cultural properties with the image and attractiveness of Jikji cultural properties. In addition, it is necessary to pay attention to education and public relations by city and county in providing local information, prices, and services for tourists to increase the satisfaction of tourists. Second, Jikji cultural property officials should suggest ways to create differentiating elements from tourism of other cultural properties. By emphasizing the existence, the existence value of Jikji cultural property should be increased. Third, Jikji cultural property officials should emphasize that Jikji tourism is more valuable as cultural heritage than now, and develop unique killer contents that can be boasted to others in tourism and present it to tourists. Fourth, Jikji cultural property officials should prepare a plan for local residents to recognize how excellent cultural heritage is. It should also be recognized that Jikji cultural property has high added value as a tourist factor. Lastly, Jikji cultural property officials should promote various jikji projects to local residents and tourists to increase their pride and awareness that Jikji cultural property exists in a certain area.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.271-281
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• 2019

The purpose of this study is to provide basic data for improving the adaptability of college life by examining the effects of individuality and relationship of university freshmen on college life adaptation. The study subjects were 383 freshmen enrolled in a university in Chungbuk C City, and a multiple regression analysis was conducted to examine the factors of impact. The first study found that boys were more individual in genders, depending on the general characteristics. Extroverted students were more relational. In the majors, students in the humanities and social sciences were more related, and students in the natural engineering department were more individual. Second, the lower factors affecting college students' adaptation to college life were found to be autonomous in individuality, and affinity and intimacy in relation. In particular, autonomy has the greatest impact on adaptation to college life, followed by affinity and intimacy. Based on these results, policy suggestions are needed first, it is necessary to balance and balance individuality and relationship. second, it is necessary to create activities and learning environments that you can choose for yourself. third, it is necessary to develop programs to promote affinity and intimacy such as department events and club activities. fourth, emotional and psychological program support through face-to-face contact should be activated to improve individuality and relationship.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.129-139
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• 2022

This study aims to identify which factors affect successful big data system construction, identify the relationship between the factors, and identify the success model and success factors necessary for public institutions to build big data systems. Therefore, the preceding and related studies related to this study were reviewed, and success factors for the establishment of a big data system were derived based on this. As a research method, a survey was conducted on users of institutions that have established or planned to build a big data system, and a structural equation (AMOS) was conducted to verify the impact relationship between success factors. As a result of the analysis, organizational support factors, development support factors, user support factors, information quality, service quality, system quality, use, and net benefit were derived as success factors for building big data systems, and a success model was presented. This can be seen as significant and academic contributions in that it is the first study of the success model for building an information system reflecting big data characteristics, and it is expected that this study will be used as basic data for building a big data system in public institutions in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.491-497
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• 2006

The goal of this research is to explore the opinions of the resident's neighboring within sewage disposal plants, to investigate the differences in accordance with each location of sewage disposal plants, and to examine the determinants to impact on the sewage disposal plants. The multivariate analysis of variance model and regression model are employed as the empirical analysis for this research. The major findings are as follows; as a rule, most of residents represented the sewage disposal plants are essential public facilities. The sewage disposal plants could be positively considered under proper compensation and negotiation, It is found that the satisfaction level against accomplishing process of the sewage disposal plants facilities are very low. In addition, it was revealed that the determinants to impact on the sewage disposal plants showed differently according to each current location of sewage disposal plants. It means that there are no absolutely concrete reasons to oppose the sewage disposal plants and they can be somewhat different by the each local characteristics. Therefore, these findings provide for the policy makers related with the NIMBY facilities including the sewage disposal plants with valuable information.

• The Journal of KAIRB
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• v.5 no.2
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• pp.43-50
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• 2023

Purpose: Due to the stringency of regulations related to clinical research, researchers face various requirements in the Institutional Review Board (IRB) review process. Specifically, they encounter time constraints and administrative burdens. In order to cultivate a more favorable review culture and establish a robust research environment, it is necessary to analyze researchers' perceptions of the IRB review. Therefore, this study aims to assess researchers' overall experiences with the IRB and identify researchers' educational needs and demands for research-related policies. Methods: A semistructured questionnaire with 34 items was developed and refined in consultation with advisors from IRB and Human Research Protection Program (HRPP). The questionnaire was distributed via an online survey to researchers with experience in IRB review. The survey covered general characteristics, satisfaction with the IRB review process (rated on a 10-point scale), experiences with IRB review, HRPP policy demands. Results: The study's descriptive statistics revealed a moderate satisfaction level (average rating, 6.75 out of 10) with the IRB review. Researchers from clinical medicine and other disciplines showed similar satisfaction scores of 6.65 and 6.87, respectively. However, respondents with over 5 years of research experience expressed higher satisfaction (mean score, 7.03) compared to those with less experience (mean score, 6.57). Institutional support was emphasized for improving the IRB review process. Certain training topics generated higher demands for addressing frequently raised IRB issues among minor discipline researchers compared to clinical medicine (p=0.017). Conclusion: We conducted an analysis of researchers' perceptions regarding the IRB as well as their demands concerning educational and HRPP policies. It is imperative to address the pinpointed areas for enhancement and integrate a range of perspectives in order to effectively cultivate a robust research ethics culture and ensure comprehensive participant protection.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.189-198
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• 2024

AI is accepted not only in the private sector but also in the defense sector as a cutting-edge technology that must be introduced for the development of national defense. In particular, artificial intelligence has been selected as a key task in defense science and technology innovation, and the importance of data is increasing. As the national defense department shifts from a closed data policy to data sharing and activation, efforts are being made to secure high-quality data necessary for the development of national defense. In particular, we are promoting a review of the business budget system to secure data so that related procedures can be improved to reflect the unique characteristics of AI and big data, and research and development can begin with sufficient large quantities and high-quality data. However, there is a need to establish standardization and quality standards for structured data and unstructured data at the national defense level, but the defense department is still proposing standardization and quality standards for structured data, so this needs to be supplemented. In this paper, we propose an unstructured data set standard format for defense unstructured data sets, which are most needed in defense artificial intelligence, and based on this, we propose a standardization method for defense unstructured data sets.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.388-412
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• 2009

This study analyzed the important factors in service quality for public usage of national R&D facilities and equipments, and, using those factors, performed the importance-performance analysis for several national R&D programs in order to examine what service quality factors should be concentrically improved in each programs. Additionally, the in-depth interview with program managers and R&D facility experts was performed to realize the managerial issues subject to the characteristics of programs regarding the national R&D public facility management. As the results, this study made some political suggestions such as the reformation of promoter's role regarding the formulation of the government policy to support those programs. For example, it is more suitable for colleges as the subject of programs to be invested for self-research purpose rather than public usage, for independent corporation to be centered on the more general and common production fields, and for the government R&D agencies on the leading and special technical fields.

• Industry Promotion Research
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• v.5 no.2
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• pp.9-17
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• 2020

This study analyzed SWOT based on existing literature data to establish strategic tasks and strategic directions for revitalization of social economic organizations (Chungnam region). First, as a result of SWOT analysis of social economic organizations, a total of 16 factors were derived from the factors for strength (S), weakness (W), opportunity (O), and threat (T), with 4 factors each. Second, for strategic factors for social economic organizations, 16 strategic tasks were derived from SO strategy, ST strategy, WO strategy, and WT strategy through SWOT Matrix Mapping for factors established through SWOT analysis. Strategic direction 1 was established as a strategic direction to improve self-sufficiency by establishing a sustainable management body as a "advancing the support policy base of social economic organizations". Strategic Direction 2 is "Creating a Growth Foundation for Social Economic Organizations", which means a strategic direction for social economic organizations to grow and develop on their own. Strategic direction 3 is "discovering and fostering social economic organizations," which means a strategic direction for sustainable growth by discovering and fostering organizations that meet local characteristics so that social economic organizations can solve various problems in the region. Strategic direction 4 was 'promotion and promotion of social economic organizations', which means strategic directions for promotion of social economic organizations and promotion of education for employees.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.419-428
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• 2018

Purpose: The study was done to investigate the correlation among health literacy, social support and medication adherence in elderly with chronic diseases. Method: Participants were 100 patients with chronic diseases in two small hospitals in J do H. A structured questionnaires was used to measure the study variables from July 14, 2017 to August 14, 2017. Data was analyzed using descriptive statistics, t-test, ANOVA, Spearman correlation coefficient, and Multiple regression by SPSS/WIN 18.0 program. Result: Medication adherence and health literacy were positively correlated(r=.398, p<.001), Medication adherence and social support were positively correlated (r=.453, p<.001) and health literacy and social support were positively correlated(r=.731, p<.001). The factors influencing on medication adherance are Experience of adverse drug effect. The explanation is that medication adherence is total 25.9%(F=3.91, p<.001). Conclusion: Thus this suggests that in order to enhance medication adherence of the elderly with chronic diseases, educational programs are needed for offering customized medical information considering unique characteristics of the area and objects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.635-646
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• 2016

This paper proposes a housing business model, where the presale and Chonsei housing are supplied under a presale system at the same time based on the characteristic correlation between the housing presale market and Chonsei market in Korea. Markowitz portfolio theory was used to review the risk diversification effects from the changes in the ratio between the presale housing supply and the Chonsei housing supply. The housing sale price indicator was used as a proxy variable to determine the presale housing supply. The housing Chonsei price indicator was used as a proxy variable to determine the Chonsei housing supply. The proposed housing business model was applied to major areas in Korea to examine the risk diversification effect. Comparisons of the regional portfolio analyses showed that the flexibility of the proposed housing business model can be quite effective because each regional housing market exhibits different characteristics. Market participants, such as developers, construction companies, consumers, and government, can expect various effects through the proposed housing business model. Nevertheless, policy support is necessary for practical applications of the proposed housing business model. In particular, public funds from the government need to be introduced.