• Proceedings of the Korean Association for Survey Research Conference
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• 2001.06a
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• pp.83-92
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• 2001

통계청(2000)은 1999년 9월 2일부터 9월 14일까지 13일간에 걸쳐 전국 약 17,000만 가구, 10세 이상의 가구원 42,973명을 대상으로 하여 ‘1999년 생활시간조사’를 실시한 바 있다. 통계청(2000)에 의하면 향후 5년 주기로 동 조사를 실시할 예정으로 있다. 이 조사는 우리나라 국민이 하루 24시간을 어떤 행태로 보내고 있는지를 조사함으로써 오늘의 국민들의 평균적인 생활방식과 삶의 질을 파악하고, 시간자원의 효율적 활용에 필요한 기초자료를 제공하는데 그 의의를 두고 있다. (중략)

• Korean Business Review
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• v.7
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• pp.165-196
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• 1994

Harris(1986)[22]는 주식가격에 있어서의 요일효과(曜日效果)(day-of-the-week effect)의 증거는 광범위한 시장지수에서의 일별(日別) 종가(終價) 대 종가(終價)수익률(收益率)에 대한 연구들에서 나타난다고 한다. 이러한 연구들은 결론적으로 체계적 수익률 행태를, 특히 음(陰)의 월요일 수익률을 증명한다. Harris(1990)[24]는 군집현상(群集現象)은 가격이산성(價格離散性)이 추정량(推定量)에 미치는 영향을 분석할 때 고려되어야 한다고 주장한다. 특히, 군집현상(群集現象)이 거래자가 규정된 최소가격변동에 기초한 집합보다 더 큰 이산적(離散的)가격집합(價格集合)을 사용하기 때문에 결과한다면, Gottlieb 와 Kalay(1985)[21] 및 Harris(1990)[24]에서 확인된 분산(分散)과 시계열공분산(時系列共分散) 추정량(推定量) 편의(偏倚)는 훨씬 더 심각할 것이라고 한다. 또한 모든 연구들은 이산성(離散性)이 거래가격의 유의한 특성이기 때문에 군집현상(群集現象)을 고려하여야 한다고 한다. 주식시장의 경우 요일효과가 존재한다면, 관찰주가의 이산성(離散性)으로 인한 요일별 주가의 끝자리가격의 분포가 월요일과 다른 요일에 있어 차이가 있는지와 요일별 가격결정의 정도가 (1) 주가의 수준, (2) 주가수익률의 기복 및 (3) 시장에서의 주식거래량에 있어 차이가 있는지 둥에 대하여 의문을 갖게 한다. 따라서 본 연구는 이산성으로 인한 요일별 관찰주가의 군집현상에 관한 거래자료를 연구하기 위하여 한국 주식시장에서의 입수가능한 최근년도인 1990년 1월 4일에서 1994년 6월 30일까지의 4년 6개월 동안의 일별주가변동(日別株價變動) 거래자료(去來資料)를 조사하고 실증분석을 수행하였다. 본 연구의 결과에 의하면 주식가격에 있어서의 요일효과는 관찰가격의 이산성 특히, 호가(呼價)의 가격단위(價格單位)에 기인하는 것 같지는 않다. 그러나 본 연구의 결과에 의하면 최돈일(1993)[7]의 연구 결과에서와 같이 Gottlieb 와 Kalay(1985) [21] 및 Ball(1988)[9]의 주장을 받아들이기 어렵다. 최돈일(1993)[7]의 연구를 확장한 본 연구의 결과는 최돈일(1993)의 연구 결과와도 상이하다.

• Journal of Korean Society of Forest Science
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• v.77 no.2
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• pp.166-177
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• 1988

To investigate the structure of the plant community of the Naejang Temple District in Mt. Naejang National Park, 22 plots were set up by the vegetation physiognomy and vegetation analysis by four kinds of ordination techniques(PO, PCA, RA and DCA) was carried out. Pure and mixed forest community of Quercus variabilis and Q. mongolica were major forest communities and each of them covered 31.27 and 20.77%, respectively. The degree of human disturbance of vegetation 9, 8, 7 and 6 area covered 30.9, 67.0, 0 and 0.02%, respectively. According to stand dynamic analysis by DBH class distribution, the present Pinus densiflora and Quercus communities may be succeeded to Carpinus laxiflora communities. DCA was the most effective method of this study. DCA ordination showed that successional trends of tree species seem to be from P. densiflora through Q. variabilis, Q. aliena, Sorbus alnifolia, Platycarya strobilacea to Carpinus laxiflora, Fraxinus rhynchophylla, Zelkova serrata, Cornus controversa in the tree layer, and from Rhododendron mucronulatum, Rh. schlippenbachii, Lespedeza cyrtobotrya, Rhus trichocarpa through Styrax japonica, Daphniphyllum macropodum, Sapium japonicum to Euonymus oxyphyllum, E. sieboldiana, Lindera erythrocarpa in the subtree layer.

• Informatization Policy
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• v.31 no.3
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• pp.48-71
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• 2024

In the modern era of digital sophistication, effective public administration warrants a citizen-centric approach that not only anticipates the needs of public service users but also comprehends their behaviors in undertaking proactive measures to deliver public services as needed. This study adopts a typological perspective by viewing e-government users as distinct consumer groups with individualized demands, behavioral tendencies, and perceptual attributes. Utilizing data from a 2021 survey on e-government service utilization, a two-step cluster analysis was conducted to delineate user typology through an empirical study. The analysis incorporated variables such as the purpose of using e-government, selected e-government channels, subjective perceptions of technological risk, and personal innovativeness. Accordingly, e-government users were classified into five distinct typological groups labeled "Unilateral Active Users Geared to Social Media," "Versatile Power Users," "Unilateral Pragmatic Active Users," "Occasional Passive Users," and "Minimal Users." This typological differentiation of e-government user groups is intended to help identify unique user demands and characteristics so as to facilitate the delivery of tailored e-government services and informed policy decisions catering to the diverse needs of users.

• 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.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.196-207
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• 2015

This study introduced the concept of 'Media-content repertoire', which indicates the set of favorite media-content combinations of media users and extracted five media user types based on those combinations. We used the range of media(i.e., smartphone, tablet, PC, and TV) and entertainment content(i.e., movie, broadcasting, music, and game) for the analysis. Also, we investigated the differences between those types including demographic variables, individual characteristics, and content buying behavior and we found that statistically significant differences exist among them. Those include 'non-user'(i.e., lower level of media use), 'screen user'(i.e., 50s, TV-centered media use), 'variety seeker'(i.e., 20s. heavy public transport user), 'selective focus'(i.e., 20,30s, movie&broadcasting-centered media use), and 'heavy user'(i.e., high level of media use and consumption). The results provide both academic implications(e.g., extension of media repertoire concept) and practical implications(e.g., direction to the target marketing for each user type).

• The Journal of Korean Association of Computer Education
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• v.19 no.5
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• pp.55-71
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• 2016

Recently, Internet addiction problem has arised due to increasing negative effects about excessive internet use among youth. In this study, by utilizing the '11th youth health behaviors online survey data', we discuss the countermeasures for excessive internet usage of adolescence based on various analysis. we examined the effects of demographic characteristic factors, psychological factors, behavioral factors on internet usage of adolescence. As a result, it was confirmed that there were various variables that influenced adolescent internet usage which were not approached in previous researches. And through these results, we can confirm these variables. In addition, we can also provide countermeasures on excessive internet usages by that of adolescents.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.139-158
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• 2009

This paper used the network analysis method to analyse a variety of attributes of searcher's search behaviors which was appeared on search access log data. The results of this research are as follows. First, the structure of network represented depending on the similarity of the query that user had inputed. Second, we can find out the particular searchers who occupied in the central position in the network. Third, it showed that some query were shared with ego-searcher and alter searchers. Fourth, the total number of searchers can be divided into some sub-groups through the clustering analysis. The study reveals a new recommendation algorithm of associated searchers and search query through the social network analysis, and it will be capable of utilization.

• Korean Institute of Interior Design Journal
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• v.18 no.5
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• pp.191-199
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• 2009

Recently general hospitals in Korea are focusing on healing environment which care for patients on the side of spirit and psychology without medical treatment. For the reason, architects are planning a public space on a large scale in which can be held cultural performances and artistic events. Those of social activities can be effective healing environment according to the "Anthroposophical medicine" studied by Rudolf Steiner. To the patient, Social healing environment is relation with normal life and back to the life. The case of a large-scale public space on hospital in foreign country shows the effect of healing environment through social community. So it is valuated as a social healing environment and community space. Even though the large-scale public space has been being increased in our circumstance, there is no evaluation of use on it. So there is no idea how people are satisfied with public space to stay and form a concourse by themselves. The purpose of this study is to find out the desire of people, who use the large-scale public space by analysis of observation research and interview in the general hospitals. And finally this study suggests the factors which can realize social healing environment on the planning of public space in hospital architecture.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.353-369
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• 2014

The goal of this study is to analyze use patterns of library collections using circulation statistics of 9 public libraries user's of the Seoul borough "A". For this study, the 2,723,115 circulation-related data of 9 public libraries located in borough "A" which were occurred between June 2006 and June 2014 were collected and used. According to the Korea Decimal Classification (KDC), All circulation records is divided into 10 categories from general (000) to history (900) and 100 divisions from general (000) to biography (990), is analyzed the frequency by category and is analyzed by cluster analysis based on thematic relevance.