• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.2
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• pp.200-211
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• 2010

This study examines the clothing purchasing behavior of elderly female consumers based on their perceived age. This study grouped elderly female consumers by their perceived age and examined what influence the clothing selection criteria or fashion information sources have on individual clothing purchase behavior. From January $10^{th}$ to February $25^{th}$ 2008, data research was conducted on 194 elderly women in their 60s and 70s from Seoul. The SPSS 14.0 software program was used to conduct data analyses such as descriptive statistics, frequency analysis, factor analysis, reliability analysis, ANOVA, and the Duncan test as a post-hoc analysis. The results of this study are as follows: First, the elderly female consumers were divided into three groups, younger, average, and older according to their perceived age. Second, the factors derived from the factor analysis of their clothing selection criteria included personal relevance, practicability, conformity, and economic efficiency. In addition, three factors of advertising/media-provided, consumer-provided and store-provided information were extracted from the factor analysis of fashion information sources. Third, there were significant differences in personal relevance and conformity that depended on the perceived age of elderly female consumers for clothing selection criteria. Fourth, in the use of fashion information sources, significant differences were found in all aspects of advertising/media-provided, consumer-provided, and store-provided information sources that depended on their perceived age.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.273-280
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• 2014

This study deals with the digital policy proposal through the study about the relation of the sustainable use and the addiction to social media such as facebook. Researcher tried to figure out the antecedents and consequence factors about the service addiction recognized by the social media users and to obtain the measures for the sustainable use of service and the implications for the prevention of addiction. Research results showed that 1) the individual innovation had an effect on the service satisfaction, the addiction, and the sustainable use, 2) the service satisfaction influenced on the addiction and the sustainable use, 3) the perceived service addiction had a reverse effect on the sustainable use. This is described that user's addiction recognition is the obstacle of sustainable growth in service. The proposed policy of this research is summarized as the following two. 1) When the users act the addictive using behavior, service provider has to pay attention to user's withdrawal from the service because of their addiction. 2) The government should offer healing facilities, service etc. for the addicted users and the prevention of the service addiction when they recognized their discomfort.

• The Journal of Information Systems
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• v.27 no.2
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• pp.221-245
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• 2018

Purpose This study aims to investigate the factors that influence switching intention of Smart Appliances. We focuses on Push-Pull-Mooring theory and status quo bias as factors related to switching behavior. Design/methodology/approach This study developed an model to explain the switching intention of Smart Appliances and conducted structural equation modeling with AMOS22.0. To test the proposed hypotheses, we collected 319 survey responses from smart appliances's users. Findings The results indicated that low usefulness and low ease of use had an effect on the switching intention of smart appliances. The results also indicated that attractiveness of the alternative and social norms had an effect on the switching intention of smart appliances. Lastly, The difference between the relation of push effect and switching intention and the relation of pull effect and switching intention was found to be due to the level of status quo bias. The academic and managerial implications were discussed based on the results of empirical analysis.

• Annals of Geriatric Medicine and Research
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• v.20 no.3
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• pp.149-159
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• 2016

Background: Since the mid-20th century, the ways in which social networks and older adults' health are related have been widely studied. However, few studies investigate the relationship between self-rated health and position in a complete social network of one entire Korean rural village. This study highlights use of a complete network in health studies. Methods: Using the Korean Social Life and Health Project, the population-based data of adults aged 60 or older and their spouses in one myeon in Ganghwa island (Ganghwa-gun, Incheon, Korea), Incheon, Korea (with a 95% response rate), this study built a $1,012{\times}1,012$ complete social network matrix of the village. The data were collected from 2011 to 2012, and 731 older adults were analyzed. The ordered logistic models to predict self-rated health allowed us to examine social factors from socio-demographic to individual community activities, ego-centered network characteristics, and positions in a complete network. Results: From the network data, 5 network components were identified. Even after controlling for all other factors, if a respondent belonged to a segregated component, the probability that he or she reported good health dropped substantially. Additionally, high in-degree centrality was connected to greater self-rated health. Conclusion: This finding highlights the importance of social position not only from the respondents' point of view but also from the entire village's perspective. Even if a respondent maintained a large social network, when all of those social ties belonged to a segregated group in the village, the respondent's health suffered from this segregation.

• Architectural research
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• v.14 no.2
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• pp.45-56
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• 2012

The high rate of urban crime is a main issue that needs to be dealt with in this high-tech society. With the rapid increase of urban crime, research has mainly focused on topics either on a global or a local scale, such as cities or communities and houses or buildings, without reliable observational data. This study makes the best use of the nationwide surveys carried out by Korean government agencies for the analysis of urban crime patterns and factors in major Korean cities. The aims of this research are threefold: understanding the relationship between urban crime patterns and socio-economic differences in cities, determining the effect of residence types on the urban crime patterns; and uncovering potential influential factors of a crime victim's individual characteristics. The statistical methods used for the analysis of social statistical data are as follows: simple regression, logistic regression, one-way ANOVA and post-hoc test. This research found that the patterns of urban crime rate in cities have a certain tendency toward the cities' socio-economic and geographical differences. The residence type is an influential factor showing a close relation to the crime rate. Personal issues, such as the types of occupation, education, marriage, etc., are directly relevant to victims of crime.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.122-125
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• 2008

Even though many researchers studied the foot shape and dimension, those applications lacked. The purpose of this study was to develop insole pattern of elderly women according to footprint. Discrepancy in the classification criteria among of foot parameters complicates attempts for elderly women classification of foot sole. To develop a footprint-based classification technique for the classification of foot sole types by allowing simultaneous use of several parameters. Foot sole data from static standing footprints were recorded from 48 elderly women. The factors of footprint shape were determined. Cluster analysis was applied to obtain individual foot sole classifications. The classification model of foot insole is proposed for a classification of footprint in elderly women. An application of ANOVA, Duncan's analysis, frequency analysis, factor analysis, and cluster analysis have been made to footprint data. In order to make clear foot sole characteristics, the factors of footprint shape have been discussed. The results are as follows. The factors of footprint shape have been classified into four types: foot length, sole slope, outside sole slope, and foot width. The types of foot sole shape have been classified into four types: longed, shortened, outside sloped, and toes sloped.

• The Mathematical Education
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• v.54 no.2
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• pp.99-117
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• 2015

The purpose of this study was qualitatively conducted for getting the answer of this problem by searching the beliefs of mathematics teachers with experience in technology and the factors that influences these beliefs. The participants in this study consist of eight teachers and one university professor having technological experiences from three years to ten years with a higher degree than M.A. The data was collected through focused group interviews for twice and individual interview as well. Data analysis was completed through several readings of transcripts and then main themes were derived by classifying, comparing, and contrasting codings. The result of this study showed that teachers with the experiences of technological tools have the concrete belief that technology helps both students and teachers understand mathematical concepts and enhance various representational activities and motivations. The result also identified the impeding factors of three beliefs of mathematics teachers. From these beliefs and factors, this study would suggest how to help teachers hold their beliefs about using technologies to improve their teachings and students' learning.

• Journal of Construction Engineering and Project Management
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• v.1 no.3
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• pp.9-17
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• 2011

Web-based PMIS (Project Management Information System) has played significant role in construction management processes in Korea. As the use of web-based PMIS increases, regular quality assessment to identify user's requirements is necessary. However, there have been rare research efforts for quality assessment of web-based PMIS. This study aims to assess the quality of web-based PMIS, especially ASP-PMIS (Application Service Provider based PMIS) that is widely used in Korean construction industry. The assessment factors of ASP-PMIS quality were adopted from previous research and empirically confirmed using exploratory factor analysis. ISA (Importance-Satisfaction Analysis), which is a variation of original IPA (Importance-Performance Analysis), were selected for the assessment and analysis method in this research. A total of 253 completed questionnaires, composed of 23 assessment items, were collected from the ASP-PMIS users in Korea (construction managers and constructors), and they were used to analyse the quality of the systems. Some possible contributions of this research are: it introduces a simple and easy-to-use tool for assessing the quality of ASP-PMIS with a set of quality assessment factors that are selected from previous researches and empirically tested; it provides the quality assessment results of ASP-PMIS in Korea so that ASP-PMIS providers in Korea can understand the users' opinion on their systems; it also identified that the urgent factors that require immediate attention to improvement. However, further researches are to be required on the following areas: enhancing the quality assessment factors in terms of their relation to the success of ASP-PMIS and to the users' performance; assessing and analyzing the quality of individual ASP-PMIS; establishing continuous improvement systems institutionally and instrumentally.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.6
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• pp.841-848
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• 2021

The purpose of this study was to explore what factors influenced users using smartphones in their decision making. In this study, intimacy/personal connectivity, use/dependence, familiarity/professionalism, efficacy/effectiveness, self-identity, control, etc. were set as independent variables and decision-making as dependent variables. In this study, 200 smartphone users were collected and analyzed through a questionnaire, and a nonlinear analysis method using WarpPLS software was utilized to identify the effects between variables. As a result, this study confirmed that factors in smart phone ownership (SPO) could affect individual decision-making and identify that users' psychological factors in the use of smart devices would be directly related to the outcome of decision-making. Through this, it is possible to understand the development of future industries and the acceptability of users using smart devices. and will be meaningful research in tourism, new product development, or continuous brand development.

• Journal of Distribution Science
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• v.18 no.1
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• pp.27-34
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• 2020

Purpose : In the aviation industry, we will investigate the impact of users' acceptance of technology on their usage behavior and find out the factors that affect their acceptance of technology. We will expand the prior study to find out the impact of the self-service technology of Incheon Airport. Research design, data and methodology : Within the last six months, the survey was conducted on people using self-service technology at Incheon International Airport from July to August 2019. Part 307 of the valid questionnaires were used for this final analysis. The collected data were used to perform frequency, factor, reliability, and multiple regression analyses using the SPSS statistical package. Results : Individual aspects of external variables, service aspects and system aspects have been shown to affect usefulness and perceived ease of use. Also, perceived ease-of-use and usefulness have effects on users' intention to accept technology. Conclusions : The perceived easement and perceived usefulness of Incheon International Airport has been shown to affect self-service users. Increasing the user's self-efficiency and increasing the user's expectations for benefits, convenience, rapid processing, and minimal effort will have a positive meaningful effect on the intention of accepting the technology.