• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1460-1465
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• 2016

Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model.

• The Korean Journal of Health Service Management
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• v.7 no.4
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• pp.179-190
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• 2013

The main purpose of this study was to investigate the effect of the factors which cause the patients to choose hospital from the view of Christian missionary hospital. The subjects were 194 inpatients and 202 outpatients of the K Medical Center in Busan. The research had been conducted from 20 June to 31 July in 2013. The major results demonstrated that the medical and social services image factors strongly affected to the satisfaction and selectivity of patients. Social role image of religious medical institution should be considered important and it seems beneficent in CRM(Customer Relationship Management) based on this results.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.207-210
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• 2018

인플루언서(Influencer)란 소셜 미디어에서 유난히 많은 영향력과 파급효과를 가지고 오는 사람들을 말하며, 이들이 만들어내는 콘텐츠는 이제는 자신들의 브랜딩을 넘어선 커머스(Commerce) 효과를 발휘하고 있다. 본 논문에서는 소셜 웹 그리고 공공데이터를 중심으로 뷰티 빅데이터와 방송 콘텐츠 빅데이터를 수집하고 분석하여 상호 상관성에 기반하여 화장품 관련 기업에서 CRM(Customer Relation Management), PLM(Product Lifecycle Management, SCM(Supply Chain Management System) 등의 경영정보시스템과 연계한 뷰티 분야에 최적화된 통합 경영정보시스템을 제안한다.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.65-74
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• 2012

Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.31-38
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• 2007

The construction industry by its nature retains higher level of danger where the smallest of error may lead to a major catastrophe endangering many workers and public safety as well as provoke social criticism. With the aid of quantitative statistical data on safety-related calamity analyzed till this day, this paper handled in depth the analysis of diseases other than the accidents, and selected new variable indexes that influence the indirect sections of calamity that are mostly concealed and incorporated them in a new model. For the factor selection of new calamity evaluation model, FRAT(Frequency, Recency, Amount, Type of merchandise/service)technique of customer-related management in marketing was applied, and as for the significance of each factor in the weight selection of variables. Consequently, considering the graveness of the FRAT itself through safety management experts, the related researches must be expanded.

• Journal of Korean Society of Rural Planning
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• v.20 no.4
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• pp.243-252
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• 2014

This study strengthens importance of farm land has possessed rurality. Thus the amenities of farm village were offered to the symbolical attributes of rurality and it was extracted four amenities attributes for valuing the amenities. Possessing the importance of rurality for agricultural and rural development and rural tourism evaluated each attribute by Choice Experiment(CE) for sustainable development make full use of rurality. Applying for Conditional-Logit model estimated the value of attributes then consumer's benefit feeling form each attributes was offered to the value of a unit change. Through this study, I wish to apply for the direction of rural development as important material and the compensation in the operation of agricultural output offering social benefit as political reference materials.

• Analytical Science and Technology
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• v.37 no.3
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• pp.166-173
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• 2024

Steroids have a temporary skin improvement and whitening effect by controlling vasodilation, but they also cause side effects when used for a long time. Therefore, steroids were designated and managed as raw materials that cannot be used in cosmetics in Korea. However, steroids are continuously being detected in cosmetics, causing social issues. In this study, we developed a certified reference material (CRM) for the determination of steroids such as hydrocortisone in cosmetics. A cream-type cosmetic CRM was manufactured and subsequently certified following the guidelines outlined in ISO Guide 35. Homogeneity, short-term stability, and long-term stability were evaluated using isotope dilution mass spectrometry (ID-MS). The certified values were determined by using NIST's primary reference material to ensure traceability. From now on, we intend to supply the certified reference material as a cosmetic CRM to national and international companies, as well as research institutes after certification as certified reference material from KOLAS and registering on COMAR.

• CRM연구
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• v.3 no.1
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• pp.29-47
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• 2010

This study is intended to examine the effect of characteristics of museum visitors and visit type on perceived relative status, aesthetic responses, and perceived visit benefits, which in turn affect visitor satisfaction and personal and social participatory behaviors. Research was held for four weeks. A total of 308 questionnaires were collected out of 315 distributed. However, additional 15 were excluded due to inadequate responses. The findings of the study are as follows: While museum visitor characteristics yielded significant effects on the perceived relative status and perceived visit benefit, it did not have significant effects on aesthetic responses. Additionally, while visit types showed considerable impact on perceived relative status, it did not yield significant effect on aesthetic responses or the perceived visit benefit. Perceived relative status of a museum had positive effects on aesthetic responses, but not on the perceived visit benefit. Furthermore, while perceived relative status did not have significant effect on visitor satisfaction, it did have evident effects on the aesthetic response and the perceived visit benefit. Lastly, greater visitor satisfaction was confirmed to contribute to greater participatory behavior in various prospective programs and events offered by museums. Hence, it would be imperative for museums to gear their attention to encourage internal participatory behaviors such as visitor education, donation and charity events, which would consequently transcend to viewing museums more as a public space shared by the general public.

• CRM연구
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• v.3 no.2
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• pp.1-20
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• 2010

Due to the nature of teenage students' common tendency of being drawn to consumption conformity engendered by popular trends, and further expanding their unique collectivist culture, this study presumes that middle and high school female students as well have an influential factor that creates their distinctive trait. This study is intended to investigate the students' personal characteristics and effects of social reference groups, and further scrutinize how these influences transcends to deviant make-up behaviors. A total of 297 subjects, middle and high school female students, participated in a survey, using questionnaires focused primarily on the degrees of color makeup and the influences imposed by classmates. The findings of the study are as follows. First, regarding makeup behavior displayed by middle and high school female students, social self-esteem had positive influence on innovation and peer pressure. Second, perceived visibility conversely had negative impacts on innovation and peer pressure. This indicates that if perceived visibility is at a salient level, this already signifies lack of innovation. Third, makeup innovation and peer pressure demonstrated by middle and high school students all showed positive influence on their makeup behaviors. Additionally, peer pressure, in comparison to innovation, had greater influence on makeup behaviors, which indicates that peer pressure play a great role in makeup behavior of middle and high school students. Fourth, makeup behaviors showed strong impacts on makeup satisfaction and rendering deviant behaviors, which indicates that a new direction and perspective regarding middle and high school students' makeup behavior is critical.

• Journal of Service Research and Studies
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• v.10 no.2
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• pp.1-15
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• 2020

As big data become more important socially and economically in recent years, many problems have been derived from the indiscriminate application of big data. Big data are valuable because it can figure out the meaning of informative information hidden within the data. In particular, to predict customer behavior patterns and experiences, structured data that were extracted from Customer Relationship Management (CRM) or unstructured data that were extracted from Social Network Service(SNS) can be defined as a population to interpret the data, during which many errors can occur. However, those errors are usually overlooked. In addition to data analysis techniques, some data, which should be considered in the analysis, are not included in the population and thus do not show any meaningful patterns. Therefore, this study presents the measurement and interpretation of the data generated when the cause of error in the population setting is strong relationship and interaction between people or a person and an object. In other words, it will be shown that if the relationship and interaction are strong, it is important to include data collected from the perspective of user experience and ethnography in the population by comparing various cases of big data application, through which the meaning will be derived and the best direction will be suggested.