• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.735-735
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• 2012

국내 및 세계적으로 중앙정부 관점에서 수자원관련 현황을 평가하거나 취약성을 파악하는 등 관련 적응 정책 수립, 부문별 정책 수립의 우선순위 결정과 평가를 위하여 지수(Index)와 지표(Indicator)를 개발하고 사용하고 있다. 수자원관련 지수의 개발은 이수, 치수 및 하천환경 분야의 지수가 개발되어 사용되고 있으며 그 중 치수관련 지수는 국내 외에서 많은 연구 결과가 보고되고 있다. 이러한 지표 및 지수의 구성체계는 크게 두 가지로 분류가 되며 하나는 인과관계 접근방식으로 측정하고자 하는 현상, 결과를 나타나게 하는 요인, 이러한 현상을 완화 또는 강화하기 위한 노력 간의 상관성을 파악하여 지표를 도출하고, 다른 하나는 주제 접근방식으로 파악하고자 하는 현상을 크게 분야별로 구분한 후 분야별 정책목표에 따라 하위 분야로 세분화하고 이에 따른 관련지표를 선정한다. 최근에는 주제 접근방식의 지표가 많이 사용되고 있다. 본 연구에서는 수자원통합관리를 위하여 행정구역 및 유역의 다양한 대리변수를 조사, 분석하여 1990년부터 2007년까지의 시군구 및 국가표준지도인 수자원단위지도의 812개의 표준유역별 DB를 구축하였고, 물이용취약성지수 홍수취약성지수 하천환경취약성지수 및 유역종합관리지수를 개발하여 평가하는 유역종합관리지표를 개발하였다. 각 분야별 취약성 지수는 다양한 대리변수들을 통계분석을 통하여 잠재지표를 선정하였으며, 잠재지표들 간의 상관관계를 이용하여 서로 유사한 변수들끼리 묶어주는 요인분석을 실시하여 주제별 세부지표를 선정하였다. 지표 산정에 있어 표준화방법은 가장 많이 사용되고 있는 Z-score 방법을 사용하였고 가중치부여 방법은 동일가중치를 이용하였으며 최종적인 집계과정은 누적합산방법으로 지수를 산정하였다. 본 연구에서 개발된 유역종합관리지표의 타당성조사를 위하여 2008년 강원도 지역의 이수 및 치수관련 자료를 구축하여 피해이력을 제외한 유역종합관리지수를 산정하여 제한급수 및 홍수 피해이력이 발생한 유역과 비교 분석하여 검증을 실시하였다. 본 연구에서 개발된 지표는 유역관련 현황 파악 및 취약성 분석을 통하여 향후 분야별 관련 정책 및 대책 수립에서 보다 효과적인 의사결정을 지원할 수 있을 것으로 사료된다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.4
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• pp.37-45
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• 2003

Role-based Access Control(RBAC) model has advantage of easy management of access control with constraints such as permission inheritance and separation of duty in role hierarchy. However, previous RBAC studies could not properly reflect the real-world organization structure with its role hierarchy. User who is a member of senior role can perform all permissions because senior role inherits all permissions of junior roles in the role hierarchy. Therefore there is a possibility for senior role members to abuse permissions due to violation of the least privilege principle. In this paper, we present a new model of role hierarchy, which restricts the unconditional permission inheritance. In the proposed model, a role is divided into sub roles(unconditional inheritance. restricted inheritance, private role), keeping organization structure in corporate environment. With restricted inheritance, the proposed model prevents permission abuse by specifying the degree of inheritance in role hierarchy.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.488-499
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• 2017

This study analyzes the effects of residential satisfaction factors of small sized housing, according to the costumer groups based demographic aspects. To attain the goal of this study, we set 8 groups (male and female : 2 groups, ages : 3 group, marriage : 2 groups, including whole group : 1) and selected 6 independent variables such as the social factor, economic factor, accessibility factor. external comfort factor, physical factor, and convenience of living factor. As a result, it is found that the economic factor has the statically significant determinant in all the 8 groups, with big positive coefficient. And the convenience of living factor is another important significant determinant in 6 groups. But the physical factor shows low the significant influence or insignificant influence in the all groups. Other factors, such as the external comfort factor, the social factor, accessibility factor. and convenience factor, are different depending on the groups.

• Culinary science and hospitality research
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• v.19 no.2
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• pp.52-64
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• 2013

The purposes of the study were (1) to identify the market segments of home meal replacement(HMR) consumers based on purchasing selection attributes and (2) to investigate demographic characteristics and purchasing behaviors unique to each segmented market. A total of 266 responses were used for data analysis using SPSS 19.0. Data analyses included frequency analysis, chi-square analysis, factor analysis, cluster analysis, MANOVA, and discriminant analysis. The result of the factor analysis showed four important dimensions in selection attributes: food quality, design, convenience, and accessibility. The results of the cluster analysis identified two HMR market segments, namely, highly involved HMR consumers and lowly involved HMR consumers. Highly involved HMR consumers considered all the selection dimensions more important than lowly involved HMR consumers. In addition, these two groups showed different demographic characteristics and purchasing behaviors. Managerial implications were provided.

• Journal of Global Scholars of Marketing Science
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• v.16 no.2
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• pp.55-75
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• 2006

This study aims to identify the unknown essential condition to form the blue ocean market, in addition to the innovation of customer value which does not become a sufficient condition though it is one of the essential conditions to form a blue ocean market, and induce companies to take a firm foothold in the blue ocean market after going to the blue ocean market by segmenting the market after setting up appropriate strategies. On the basis of those goals of this study, we dealt with subjects like the problem of approaching the market that possesses factors of differentiated value innovation, the segmentation of value innovative market, the problem about the major variables that shed light on the character of blue ocean optical illusion market, the strategy for following companies to enter the market, which we applied to the actual analysis based on the investigation into the literature related to value innovation and blue ocean strategy, investigation into the actual cases and objective data. We analysed a domestic refrigerator market and a domestic chewing gum market as representative examples of durables and nondurables and segmented each market on a value innovation market. We discovered the blue ocean and the blue ocean's illusive market of the two markets. I've mentioned and studied the characters of those positively.

• Korean Business Review
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• v.15
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• pp.79-97
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• 2002

In this study, an analytical CRM for customer segmentation is exercised by integrating and analyzing the customer profile data and the access data to a particular web site. We believe that effective customer segmentation will be possible with a basis of the understanding of customer characteristics as well as behavior on the web. One of the critical tasks in the web data-mining is concerned with both 'how to collect the data from the web in an efficient manner?' and 'how to integrate the data(mostly in a variety of types) effectively for the analysis?' This study proposes a panel approach as an efficient data collection method in the web. For the customer data analysis, OLAF and a tree-structured algorithm are applied in this study. The results of the analysis with both techniques are compared, confirming the previous work which the two techniques are inter-complementary.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.17-34
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• 2007

Organizations have realized the importance of CRM. To obtain the maximum possible lifetime value from a customer base, it is critical that customer data is analyzed to understand patterns of customer response. As customer databases assume gigantic proportions due to Internet and e-commerce activity, data-mining-based market segmentation becomes crucial for understanding customers. Here we raise a question and some issues of using single SOM approach for clustering while proposing multiple self-organizing maps approach. This methodology exploits additional themes on the attributes that characterize customers in a typical CRM system. Since this additional theme is usually ignored by traditional market segmentation techniques we here suggest careful application of SOM for market segmentation.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.1
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• pp.146-153
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• 2010

The objectives of this study were to explore food-related lifestyle segments of the older consumers, to identify its socio-demographic characteristics, and to investigate the differences in variables regarding health beliefs. A survey was conducted of adults 55 years of age and older living in Seoul, South Korea from March 28 to April 10, 2007. Out of the 500 distributed questionnaires, 361 were retained for final analysis: a response rate of 72.2%. As a result of cluster analysis, five consumer segments were identified; health-managing group, diet-unconcerned group, convenience-oriented group, taste-oriented group, unpracticed group. Significant differences were found among the five segments in terms of socio-demographic characteristics and variables regarding health beliefs (i.e., perceived self-efficacy, perceived barriers, perceived benefits). In the health-managing group and taste-oriented group, mean scores of perceived self-efficacy (p<0.001) and perceived benefits (p<0.001) were significantly higher than other groups. However, in the diet-unconcerned group and convenience-oriented group, the mean scores of perceived barriers (p<0.01) were significantly high. This study shows that foodservice operators targeting the older consumers should consider characteristics of each segment to develop a customized program.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.661-670
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• 2006

With the development of e-Commerce and the proliferation of easily accessible information, information filtering systems such as recommender and SDI systems have become popular to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. Until now, many information filtering methods have been proposed to support filtering systems. XML is emerging as a new standard for information. Recently, filtering systems need new approaches in dealing with XML documents. So, in this paper our system suggests a method to create multiform user profiles with XML's ability to represent structure. This system consists of two parts; one is an administrator profile definition part that an administrator defines to analyze users purchase pattern before a transaction such as purchase happens directly. an other is a user profile creation part module which is applied by the defined profile. Administrator profiles are made from DTD information and it is supposed to point the specific part of a document conforming to the DTD. Proposed system builds user's profile more accurately to get adaptability for user's behavior of buying and provide useful product information without inefficient searching based on such user's profile.

• Journal of Distribution Research
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• v.12 no.4
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• pp.1-25
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• 2007

The purpose of this study is to provide the strategic implication of the Korean open air market by examining the factors affecting customer loyalty for various market segments as their competitive environment becomes more turbulent. We have undertaken empirical research that uses the methodology of a mixture regression modeling, as a way to ascertain the determinants of customer loyalty toward the Korean open air market, which should form the base of strategy for each segment. We construct a mixture regression model which uses perceived the Korean open air market value dimensions as explanatory variables, an income as a covariate variable, and a customer loyalty as a dependent variable. The analysis of results show that customers are statistically divided into four segments: 'Accessibility'(33.7%), 'Price'(29.7%), 'Shopping environment,'(22.0%), and 'Merchandising,'(14.5%) groups. The findings also showed that parameter estimates are different for each group, which indicates that the sensitivity to changes in the Korean traditional market perceived value and the income variable affecting customer loyalty vary among segments.