• 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 KIPS Transactions:PartD
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• v.9D no.6
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• pp.1009-1016
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• 2002

We design and implement a new case-based recommender system using implicit rating information for a digital content site. Our system consists of the User Profile Generation module, the Similarity Evaluation and Recommendation module, and the Personalized Mailing module. In the User Profile Generation Module, we define intra-attribute and inter-attribute weight deriver from own's past interests of a user stored in the access logs to extract individual preferences for a content. A new similarity function is presented in the Similarity Evaluation and Recommendation Module to estimate similarities between new items set and the user profile. The Personalized Mailing Module sends individual recommended mails that are transformed into platform-independent XML document format to users. To verify the efficiency of our system, we have performed experimental comparisons between the proposed model and the collaborative filtering technique by mean absolute error (MAE) and receiver operating characteristic (ROC) values. The results show that the proposed model is more efficient than the traditional collaborative filtering technique.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.395-401
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• 2020

With the popularization of smartphones and the development of digital technologies, new concepts that maximize interactive communication have begun to appear in marketing strategies. One of them is the gamification marketing strategy that combines games with marketing that induces customer interest and voluntary participation. Gamification is a compound word of 'game' and '-fication', and marketing cases using game formats are being implemented in various fields. Therefore, this study will identify the implications of the usage of gamification that has become a trend, and analyze the gamification techniques and factors shown in various cases to suggest the direction of gamification as an effective marketing strategy. Companies are actively using gamification in their marketing strategies in a variety of forms and apply gamification techniques such as challenge, competition, accomplishment, reward, and relationship. As a result of the case analysis, important factors commonly identified in the gamification techniques used in marketing are 'Accomplishment' and 'Rreward'. Using various products and benefits obtained through solving a given mission or task as game elements, it was found to be an effective strategy to induce consumers' interest and participation and to promote consumption by encouraging consumers' immersion.

• The Korean Journal of Applied Statistics
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• v.22 no.3
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• pp.531-539
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• 2009

Logistic regression is widely used as a datamining technique for the customer relationship management. The maximum likelihood estimator has highly inflated variance when multicollinearity exists among the regressors, and it is not robust against outliers. Thus we propose the robust principal components logistic regression to deal with both multicollinearity and outlier problem. A procedure is suggested for the selection of principal components, which is based on the condition index. When a condition index is larger than the cutoff value obtained from the model constructed on the basis of the conjoint analysis, the corresponding principal component is removed from the logistic model. In addition, we employ an algorithm for the robust estimation, which strives to dampen the effect of outliers by applying the appropriate weights and factors to the leverage points and vertical outliers identified by the V-mask type criterion. The Monte Carlo simulation results indicate that the proposed procedure yields higher rate of correct classification than the existing method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.2
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• pp.523-528
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• 2008

Franchising is a business sector which can be enlarged to a large scale in retailing business. Franchising has expanded its realm of business into realestate business and education business, starting from hospitality business. In franchising, the management of customers is a critical issue, so many franchising companies actively implement the CRM system to improve customer relationship. Therefore, this research focuses on the intention of franchising companies about the implementation of the CRM system. The information system used for managing franchising business is defined as Franchising Information Systems(FIS). In this research, the impact of technological level, educational level and utilization strategy of FIS on the ability of FIS use were analyzed. In addition, the impact of the ability of FIS use on the intention of franchising companies about the implementation of the CRM system was analyzed. The results from the research reveal that the utilization strategy of FIS does not affect the ability of FIS use, but technological level and educational level have an effect on the ability of FIS use. The ability of FIS use has influence on the intention of franchising companies about the implementation of the CRM system.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.3
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• pp.96-107
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• 2006

This paper explores the benefits provided by the adoption and implementation of electronic commerce in a particular SME-intensive productive environment: the geographical cluster. This study develops a conceptual framework that highlights the six types of benefits obtained by integrating online business with offline business. Using data from 73 traditional companies in Korean port clusters, factor analysis was used to figure out six benefits including sharing information, cost savings, value-added service, customer relationship, enhanced trust, and marketing efficiency. The six empirically derived critical benefit factors were then used to examine how they improve management performance of the traditional offline companies in the cluster measured by Balanced Scorecard(BSC). According to the results, we concluded that the offline firms in the cluster can take advantages of extending to online business.

• The Journal of Korean Medicine
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• v.31 no.2
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• pp.124-136
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• 2010

Objective:: This study aimed to examine the customers' utilization of and satisfaction with oriental medical clinics in South Korea. Method: The data for this study were collected from 1,208 patients of 391 oriental medical clinics through a mail questionnaire survey from September to December 2008. The collected data were analyzed by the frequency analysis and $X^2$-test. Results: The results of the study were as follows. First, the most important reason that patients used oriental medical services was to get both oriental and western medical services simultaneously, because they thought such approach would be more effective for treating their diseases. Second, two important reasons that patients visited oriental medical clinics were "the reputation of and trust in the oriental medical clinics" and "the recommendation of their family and friends". Third, many patients of the oriental medical clinics have concerns about the "high prices and the outcome of oriental medical services". Fourth, the most preferred oriental medical service was "acupuncture". Fifth, it was found that 75% of the respondents were satisfied with the services they had received. They told that the outcome of the care and the kindness of the clinics' staff were very important factors that have an impact on their satisfaction. Conclusion: The study results imply that oriental medical clinics have to make an effort to strengthen their reputation and trust in the community through the scientific validation of oriental medicine, differentiated services mixed with traditional value, customer relationship management, reasonable and acceptable price of the services, staff education, and continuous quality improvement.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.295-304
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• 2005

A Core Study on the Introduction of CRM to use e-contents to the Local Government. This study extracted the core principles about the Introduction of CRM that used E-Contents fundamental technology in the local government, and showed the considerations and the examined details to introduce the real CRM.. It integrated the success factors of CRM and the source that took the success by using the intentional result in order to build the concept model for the Introduction of CRM. And the concept model of CRM showed what factors can gain according to an administrative organ and the function and role of the administration. This study result will be the base for experienced survey in case that the local government will introduce CRM to use e-contents fundamental technology hereafter. And it will offer the foundation to show the directions about application of CRM in the local government and to apply the standards and the administrative guidelines to the CRM's officials.

• The Journal of Fisheries Business Administration
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• v.35 no.1
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• pp.57-85
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• 2004

To develop an blue tourism website(BTW) for electronic commerce(EC), information requirements of BTW are defined firstly. We defined information requirements of BTW from two aspects, i.e., front office and back office. Information requirements for front office were derived by consumer purchasing decision process. And information requirements for back office were derived by tourism value chain. Total 29 functions are identified as critical EC related functions of BTW. Among them, 25 functions were investigated into BTW. BTWs were searched by search engines - Yahoo and Empas - to Korean websites. There are 12 specialized BTWs, except one cyber museum website. For 12 websites, 25 functions were probed. By the results, in need recognition stage of blue tourism, only weather information was provided in most websites. In information search stage of blue tourism, package recommendation and various contents were provided in most websites. In consumption stage of blue tourism, traffic information were provided in most websites. And in after - sales service stage of blue tourism, bulletin board function was implemented in most websites. The rest of the functions were scarcely implemented. On the whole, it was concluded that most EC related functions of BTW in Korea were not implemented properly. To improve the status quo, it is expected in the dimension of individual website, that marketing planning, customized service, intelligent service, reinforcing purchasing assistance functions, customer relationship management, and escrow service etc. need to be implemented. And it is expected in the dimension of blue tourism industry, that standardizing product catalog, security assistance policy, information sharing by industrial database, finding referral model of BTW, elevating information mind, revising related laws etc. are needed.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.639-650
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• 2002

We have to carry out systematic, definite requirements analysis for the successful development of software. The UML gives the ways to grasp user or customer requirements and decide the boundary of business systems from the use case modeling. This paper presents how to extract use case diagram from the requirements specification systematically by applying the standardized rules as a part of the study for use case modeling. We modify requirements specification by applying $R_{RS}$ (Rules for Requirements Specification) and extract actor, use case, relationship by applying $R_{A}$(Rules for Actors), $R_{U}$(Rules for Use Cases) and $R_{R}$(Rules for Relationships) to the modified requirements specification separately and then become to make out use case diagram in the end. By applying the rules presented in this paper to the requirements specification for personnel management, we can reduce the existing difficulties of extracting use case diagram based on the narrative descriptions without any standardized rules.rules.