• 한국프랜차이즈경영연구
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• 제7권1호
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• pp.21-29
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• 2016

Purpose - The primary purpose of this study is to employ effective marketing methods using market segmentation of coffee shops by determining how motivations to visit coffee shops have different impacts on demographic profile of visitors and characteristics of coffee shop visits, so as to draw out a better understanding of customers of coffee market. Research design, data, and methodology - Data were collected using surveys of self-administered questionnaires toward coffee shop users in Daejeon, Korea. A number of samples used in data analysis were 253 excluding unusable responses. The data were analyzed through frequency, reliability, and factor analysis using SPSS 20.0. Factor analysis was conducted through the principal component analysis and varimax rotation method to derive factors of one or more eigen values. In addition, the cluster analysis, multivariate ANOVA, and cross-tab analysis were used for the market segmentation based on the types of motivation for coffee shop visits. The process of the cluster analysis is as follows. Four clusters were derived through hierarchical clustering, and k-means cluster analysis was then carried out using mean value of the four clusters as the initial seed value. Result - The factor analysis delineated four dimensions of motivation to visit coffee shops: ostentation motivation, hedonic motivation, esthetic motivation, utility motivation. The cluster analysis yielded four clusters: utility and esthetic seekers, hedonic seekers, utility seekers, ostentation seekers. In order to further specify the profile of four clusters, each cluster was cross tabulated with socio-demographics and characteristics of coffee shop visits. Four clusters are significantly different from each other by four types of motivations for coffee shop visits. Conclusions - This study has empirically examined the difference in demographic profile of visitors and characteristics of coffee shop visits by motivation to visit coffee shops. There are significant differences according to age, education background, marital status, occupation and monthly income. In addition, coffee shops use pattern characterization in frequency of visits to coffee shops, relationships with companion, purpose of visit, information sources, brand type, average expense per visit, important elements of selection attribute were significantly different depending on motivations for coffee shop visits.

• The Journal of Asian Finance, Economics and Business
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• 제1권2호
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• pp.15-24
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• 2014

This research investigates the characteristics, principles, advantages, factors and problems of cluster development in Kazakhstan, and identifies the prerequisites, conditions and stages of organizing clusters on the framework of special economic zones. In this research, we used methods, which will allow analyzing of the organization industrial clusters in special economic zones in Kazakhstan. The author studied international experience of cluster development and the efficiency of the use of the model of the "rhombus effect" with account the specific features of interaction between the participants of the cluster, analysis of the legal framework for the formation and development of clusters. These have been identified as the more important or strategically necessary clusters in Kazakhstan: innovation-technological cluster, innovation-education cluster, innovation-petrochemical cluster, innovative-metallurgical cluster, transport and logistics cluster, textile industry cluster, tourism cluster, agro cluster, construction cluster, medical and pharmaceutical cluster. Firstly, the results suggest that the interaction of science, education, business and government in the development and implementation of innovation policy is not sufficiently structured to provide a balanced representation of the interests of the range of various innovative enterprises in Kazakhstan. Secondly, the legal basis of cluster development in Kazakhstan is determined. Need to develop mechanisms for the implementation of promising direction. Thirdly, the clusters can be formed in the existing special economic zones, allowing them to get right to the mass production of high-tech products that are developed.

• 한국환경생태학회지
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• 제29권2호
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• pp.236-249
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• 2015

The master plan of forest land management proposes forest watershed management that considers regional characteristics in order to overcome the problem of uniform forest land management. In order to manage the forest watersheds in Gyeonggi-do, this study classified 1,823 forest watersheds in Gyeonggi-do and attempted to understand their characteristics. It conducted a factor analysis and cluster analysis from the perspective of conservation value and development pressure using forest land indicators. In terms of conservation value, three factors were drawn: the topography factor, vegetation factor and public service factor, while in terms of development pressure, three factors were drawn: the easiness of development factor, economic benefits factor and development activity factor. Using these factors, forest watersheds were divided into three clusters in terms of conservation value while they were divided into three clusters in terms of development pressure. Using the results of the cluster analysis from a conservation-development perspective, the forest watersheds were classified into nine different types, and the characteristics were identified by each type. It is judged that the factors and clusters drawn as a result of the research accurately reflect the present conditions of Gyeonggi-do, and the nine types of forest watersheds have clear characteristics according to each type, which are judged to be utilized in forest management in the future.

• 한국식생활문화학회지
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• 제35권1호
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• pp.79-85
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• 2020

This study aims to classify parents by considering important factors in the management of foodservice for children. An offline survey was conducted by enrolling 583 Korean parents whose children attended public or private kindergartens in Seoul. The important factors required for managing foodservice for children are meal service resources, menu management, and food allergy. Considering these factors, parents were grouped into 3 clusters: the allergy important group, environment important group, and high concern group. Evaluation of the demographic characteristics revealed a significant difference between clusters with respect to type of kindergarten. Parents perceived that a private kitchen is more required than a private dining room, and perceptions about the need for a private kitchen and dining room were significantly different among the clusters. Furthermore, the results reveal significant differences between clusters, when considering the need to support meal service. Therefore, the government needs to consider characteristics of the parent cluster if they plan to support the kindergarten foodservice. We believe that this study can be used as supportive data to establish a working policy.

• 한국경제지리학회지
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• 제6권1호
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• pp.45-60
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• 2003

경제의 세계화가 가속화되고 도시경제변화의 주기가 단축됨에 따라 도시의 성장과 발전에 원동력이 되는 산업과 이의 집적논리에 대한 학자들의 관심이 증대하고 있다. 시장의 불확실성과 경쟁의 가속화로 인해 현대의 기업은 비용과 위험감소를 위해, 비시장적 기제들 즉, 신뢰, 협력, 상호의존 등의 사회경제적 기제에 더욱 의존하고 있으며, 명시적인 거래비용의 감소보다는 산업활동의 네트워크, 착근성, 도시의 장소적, 역사적 발전특성 등의 문화경제적 기제에 영향을 받는다. 이 연구에서는 대도시내의 서로 다른 특성을 가지는 두 개의 산업 클러스터의 비교연구를 통해 사회적 자본형성의 특성과 국지적 공간경제와 산업의 차이에 따른 제도화의 특성들을 분석한다. 즉, 100여년의 역사를 가진 시장에서 출발하여 '생산-유통-판매-사후 서비스'가 하나의 한정된 공간에서 이루어지는 동대문의류산업 집적지와 10여 년의 짧은 사무업무활동지구에서 IT중심의 벤처산업지구로 변모한 서울벤처밸리의 내적 발전특성상의 유사점과 상이점을 사회경제기제와 문화경제기제로 나누어 비교하고 서울의 공간경제 발전에의 함의점을 도출한다.

• 정보처리학회논문지B
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• 제14B권7호
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• pp.513-522
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• 2007

군집화는 주어진 데이터를 분할하여 데이터 속에 숨겨져 있는 의미를 자동으로 발견하는 방법으로, 사람이 일일이 살펴보기 어려운 데이터를 분석해서 비슷한 성향을 가진 데이터들끼리 모은 여러 개의 군집들을 만들어 낸다. 온라인 문서 군집화는 검색 엔진을 통해 검색된 문서들을 대상으로 군집화를 실행하여 유사한 특성의 문서들을 묶어서 보여줌으로써 사용자의 검색 환경의 편의성을 증진시키는 것이 목적이다. 문서군집화는 사람의 개입이 없이 자동으로 이루어져야 하고, 군집화 결과에 영향을 미치는 군집의 개수 선정도 자동으로 이루어져야 한다. 또한, 온라인 시스템에서는 빠른 응답 시간을 보장하는 것이 중요하다. 본 논문에서는 기하학적인 정보를 이용하여 군집의 수를 결정하는 방법을 제안한다. 제안하는 방법은 군집의 중심을 저차원 평면에 사상하는 것과 사상된 군집 중심의 거리 정보를 이용하여 군집들을 병합하는 두 단계로 이루어져 있다. 제안하는 방법을 실데이터에 적용하여 실험한 결과 군집화 성능이 향상되고, 처리 시간도 온라인 환경에 적합한 것을 확인 할 수 있었다.

• 아동학회지
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• 제37권2호
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• pp.79-94
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• 2016

Objective: This study aimed to examine the predictors of indoor play behaviors using cluster analyses. Methods: Data from 963 children (age 4 years) who participated in the $5^{th}$ phase of the Panel Study of Korean Children, their parents, and their teachers were analyzed using K-means clustering analyses, F-tests and multinomial logistic regression analyses. Results: The clustering analyses revealed three distinctive profiles: positive-theme oriented, general-exploratory/manipulative, and negative-exploratory/manipulative groups. Child characteristics, including cognition, language, and social level, and teachers' age were significantly associated with the groups in a different way; the clusters were partially different in the gender and creativity of children, interaction level of teachers' interaction, classroom environment, and program types that children attended. Conclusion: Findings revealed three clusters of play behaviors and highlighted the importance of the ecological variables that determined the clusters.

• 대한음성학회지:말소리
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• 제45호
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• pp.1-14
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• 2003

This paper criticizes S. Kim (1992), claiming that the perception of place cues in the reduced stop consonant clusters ('reducing' means 'cutting off' the acoustic silence in stop clusters) largely depends on the acoustic characteristics such as formant transition and noise frequency distribution of stop burst, rather than the closure duration time as advocated by S. Kim (1992). The claim is based on the perception test conducted upon 111 stimuli over 10 subjects. The finding is that, when the closure duration is cut off up to the point where only one stop is perceived, place of the second stop, not the first one, in the cluster is in most cases perceived regardless of the places of the first and second stops. It is likely that the place cues of the stop in the prevocalic position mask those in the postvocalic position.

• 산업경영시스템학회지
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• 제24권65호
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• pp.41-50
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• 2001

Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and intercluster similarity is minimized. The discovered clusters from clustering process are used to explain the characteristics of the data distribution. In this paper we propose a new methodology for clustering related transactions with categorical attributes. Our approach starts with transforming general relational databases into a transactional databases. We make use of inter-dimensional association rules for composing hypergraph edges, and a hypergraph partitioning algorithm for clustering the values of attributes. The clusters of the values of attributes are used to find the clusters of transactions. The suggested procedure can enhance the interpretation of resulting clusters with allocated attribute values.

• 지식경영연구
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• 제3권1호
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• pp.61-74
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• 2002

This paper argues that there are circulative linkages between knowledge creation, sharing and utilization in innovative clusters. Based upon discussion about characteristics of circulative linkages between three types of knowledge activities, this paper presents three hypotheses: the more regions generate knowledge, the more active they share knowledge (hypothesis I); the more regions share knowledge, the more vigorous they utilize knowledge (hypothesis II) and the more regions generate knowledge, the more vigorous they utilize knowledge (hypothesis III). Empirical analysis into the Korean case turned out that hypotheses I and III were strongly supported, but hypothesis II weakly supported, probably due to inaccurate proxies for knowledge activities. This study may help guide provincial governments to choose policy goals to promote knowledge activities. It also leads to the conclusion that maintaining balance among three types of knowledge activities (creation, sharing and utilization) is a way of their policy making for the promotion of innovative clusters.