• Journal of the Korean Home Economics Association
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• v.39 no.6
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• pp.1-14
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• 2001

The purpose of this research is to observe the differences in consumers behavior on clothes care based on their different lifestyles and different demographic characteristics. The research surveyed 267 women of 20 years old or older living in Taegu City. SPSS package was used for data analysis and frequency, percentage, average, standard deviation, factor analysis, cluster analysis, ANOVA(analysis of valiance). and Duncan test were used The results are as follows: 1. Lifestyle factors for the research object were found as 'Consumption-oriented','family-oriented', 'Economic-oriented','Leisure-oriented','conservatism-oriented'. The categories for analysis according to these factors are classified into 5 categories, category 1 is Leisure/Family-oriented group, category 2 Consumption/Leisure avoidance-oriented group, category 3 Economy/Family Apathy-oriented group, category 4 Conservatism-oriented group, and category 5 Consumption/Innovation group. Five factors for behavior on clothes care are found, including washing method, interest in detergent, environmental behavior, washing effectiveness, and management after washing 2. Behavior on clothes care based on lifestyle groups showed a meaningful difference according to the following: Interest in detergent(p<.05 level), environmental behavior(p<.01 level), and washing effectiveness(p< .01 level) 3. In demographic variations (such as age, monthly income, monthly expenditure on clothes), there is a meaningful difference in behavior on clothes care, such as interest in detergent or management after washing, according to different age groups. However, no meaningful difference is found in behavior on clothes care according to other demographic characteristics.

• Agribusiness and Information Management
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• v.5 no.2
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• pp.1-5
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• 2013

Demographic transition drives changes in consumer demand for food products. This study examines how rising incomes and population trends affect spending on food purchased for home. The objective of this study is to characterize the relationships between selected socio-demographic factors and food selection among South Korean households. Panel data from Rural Development Administration (RDA) in South Korea in 2010 was used (n=971). Household food purchases were classified into one of the five food groups from Composition of Foods of RDA. Multiple regression analysis was used to analyze the effects of household size and income based on the expenditure share on each food group. All statistical analyses were performed using SAS/ PC version 9.3. Results show that household socio- demographic characteristics have a strong influence on food purchasing, with the purchase of vegetables and fruit, and processed food and pre-packaged being particularly sensitive.

• Journal of the Korean Home Economics Association
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• v.38 no.11
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• pp.115-126
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• 2000

This study investigated the relationship of demographic and psychological variables with job and family-related stress among 293 employed wives. We found that age, job types, working in weekend, and family cohesion significantly contributed to the explanation of job-related stress. We also found that job types, working in weekend, family adaptation, family cohesion, and employment motivation significantly contributed to explaining the variation of family-related stress. Job-related stress was more explained by demographic variables than psychological ones, whereas family-related stress was more explained by psychological variables than demographic ones. Practical implications of the current findings were discussed.

• Knowledge Management Research
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• v.4 no.2
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• pp.1-18
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• 2003

Team-members may have diverse backgrounds and characteristics and such diversity is getting increased in teams in terms of demographics(gender, age, and educations) and capabilities(knowledge, skills, and experiences). A meta-analysis of the last 40 years studies, however, concluded that diversity in teams does not have the consistent main effect on team performances. On the other hand, according to theories of selection and socialization, similarity in values, backgrounds, and experiences buttress the positive and effective working environment. Therefore, we conduct an empirical study in favor of similarity in work teams for the sake of team effectiveness. We investigated the importance of the similarity of team-members on IT team effectiveness. Two aspects of similarity, demographic and cognitive, were considered together. The shared mental model(SMM) was introduced as the representative construct for the cognitive similarity. We found that SMM is more important than the demographic similarities on team effectiveness.

• Journal of Fashion Business
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• v.14 no.6
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• pp.170-187
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• 2010

This paper is to analyze the effect of demographic factors on children' wear buying pattern, media and information utilization, and design preference. A total of 355 usable data was collected from house wives in three metropolitan cities(Seoul, Daejon, Bundang) in Korea. Correlation analysis showed that there were statistically significant correlation between demographic factors and clothing buying behavior, information utilization, and design preference. Also, Regression results showed that 8 Demographic Factors are significant predictors. The results with ANOVA showed that there were significant relationships between PURCHASE OCCASION and DISPLAY INFORMATION UTILIZATION, and showed that there were significant relationships (F=28.625, p=<.001) between PURCHASE MOTIVATION and SALES PERSON ADVICES UTILIZATION. Thus, both visuality and friendliness of service were affected by consumers. Considering the increasing importance of service quality in the retail VMD, sale promotion should be enhanced and sale person is needed to be trained to be friendly to all consumers regardless of product composition

• KDI Journal of Economic Policy
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• v.37 no.4
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• pp.21-54
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• 2015

This paper analyzes how and why household debt distribution by the householder age has changed over the past decade both in Korea and the US. Data shows that the proportion of household debt held by younger households has decreased, while that held by older households has increased. Empirical analysis shows that a change in the demographic distribution of householders is the main driving force that has shifted the household debt distribution. Given that demographic aging is an inevitable trend, the proportion of household debt held by older households is also expected to increase. Therefore, the Korean government must preemptively prepare for the household debt problem, especially for debt held by older households, by strengthening macro-prudential policies, preventing asset price deflation, restructuring household debt contract structures, and reforming labor market inflexibility.

• Journal of Fashion Business
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• v.18 no.5
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• pp.99-115
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• 2014

This thesis aimed examine the relationship between the health characteristics (musculoskeletal, respiratory, skin, digestive, nervous mental system) of cosmetologists and their demographic, health management, and working environment characteristics to help cosmetologists maintain a healthy work life while solving health problems. These research was carried out via survey and statistics analysis. A total of 279 cosmetologists living in Seoul, Kyeongkido, and Choongchungdo from 8 July to 30 August, 2014 were surveyed. Frequency, mean, factor, and regression analysis were carried out on the data with SPSS(V. 14). The results were as follows; (1) a relationship between health & the demographic characteristics of gender was found;- (2) health and the health management characteristics of interest in health problem prevention, active exterior health support, muscular exercise, interior health support, and stress management were found to be related;- (3) health and working the environment characteristics of working time per day, and work days per week were related.

• ETRI Journal
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• v.43 no.6
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• pp.1058-1080
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• 2021

Crime is not a completely random event but rather shows a pattern in space and time. Capturing the dynamic nature of crime patterns is a challenging task. Crime prediction models that rely only on neighborhood influence and demographic features might not be able to capture the dynamics of crime patterns, as demographic data collection does not occur frequently and is static. This work proposes a novel approach for crime count and hotspot prediction to capture the dynamic nature of crime patterns using taxi data along with historical crime and demographic data. The proposed approach predicts crime events in spatial units and classifies each of them into a hotspot category based on the number of crime events. Four models are proposed, which consider different covariates to select a set of independent variables. The experimental results show that the proposed combined subset model (CSM), in which static and dynamic aspects of crime are combined by employing the taxi dataset, is more accurate than the other models presented in this study.

• Journal of Korean Physical Therapy Science
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• v.10 no.2
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• pp.145-152
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• 2003

Recruiting and maintaining capable physical therapists in hospitals is crucial to provide patients with better quality's physical therapy and to achieve hospital business objectives. This study is to provide basic data for effective personnel management of physical therapists in the hospital. For this, this study was conducted to confirm the relationship between turnover intention and job characteristics(task importance, job autonomy, job feedback, task identity, skill diversity), and to find out factors affecting the turnover intention of hospital physical therapists in Korea. The sample used in this study consisted of 173 physical therapists who were working in hospitals located in Seoul from June 18 to 29. The data for analysis were collected by questionnaire survey. The dependent variable of this study was turnover intention and the independent variables were job characteristics(task importance, job autonomy, job feedback, task identity, skill diversity), demographic characteristics of respondents(sex, age, education level, marital status, working hospital, working career). The major statistical methods used for the analysis were factor analysis, t-test, ANOVA, correlation, and hierarchical multiple regression analysis. Turnover intention according to demographic characteristics of respondents was significantly high in the graduate school above group. As the result of hierarchical multiple regression analysis of turnover intention, R2 of job characteristics was much more powerful than demographic characteristics. The factors had significant negative effect on turnover intention were job autonomy, task identity, and skill diversity. And in demographic characteristics factors, there were not significant factors on turnover intention. In considering above findings, for decreasing turnover intention of physical therapists, hospitals need to develop strategies for enhancing job satisfaction by improving job autonomy, task identity, and skill diversity from the adequate job environment.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.125-141
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• 2014

Nowadays, overflowing data produced every second from the internet make people to be difficult to search for the useful information. That's why people have invented and developed unique tools that they get some relevant information. In this paper, the recommender system, one of the effective tools, is used and it helps us to get the useful information that we want by using demographic information to predict new items of interest. The demographic recommender system in this paper computes users' similarity using demographic information, age and gender. So we performed demographic analysis on movie ratings on Internet Movie Database (IMDB) web site that movies are rated by thousands of people, where users submitted a movie rating after they watched a recent popular film. Meanwhile, we can understand that user's ratings, among various determinants of box office, is very essential factor in the study on recommendation of movie. This paper is aimed at analyzing movie average ratings directly given by film viewers, categorizing them into groups by sex and age, investigating the entire group and finding the representative group by examining it with F-test and T-test. This result is used to promote and recommend for the target group only. Therefore, this study is considerably significant as presenting utilization for movie business as well as showing how to analyze demographic information on movie ratings on the web.