• Journal of the Korean housing association
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• v.17 no.5
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• pp.147-157
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• 2006

A study on Composing Unit Spaces of Apartment Houses according to the Differentiation in Lifestyle by survey on preferences. The purpose of this study is to propose composition models of unit spaces for 85m2 net area apartment houses by lifestyle types. This study set up a hypothesis that there is a critical divergence of preferences in composition types of unit spaces according to lifestyle. To prove the hypothesis, investigation on variable floor plans of apartments to extract spatial composition types of units and questionnaire survey on lifestyleand preferences for composition types were implemented. To extract several factors regarding, characteristics of lifestyle, factor analysis, was implemented for each variable. Cluster analysis was conducted to cluster interviewees by similarity of lifestyle. To identify and define how each factor reacts, ANOVA and cross tabulation analysis between factors and clusters were used. The type of spatial composition was analyzed by plane characteristic, spatial relation and spatial usability on the basis of apartment plate type. As a result, lifestyle was divided into three types: reasonable lifestyle, trend-seeking lifestyle and conservative lifestyle. As, the result of investigating characteristics for the type of spatial composition according to the type of lifestyle, preferred types and main districts were different. Therefore, the hypothesis was proved.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1418-1429
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• 2020

This study was conducted on men and women in their teens and 50s living in Seoul, Incheon and Gyeonggi-do to find out the relevance between demographic characteristics of lifestyle clusters and the characteristics of beauty salon use. To analyze the data of a total of 522 people collected, statistical processing was performed with analysis of frequency, analysis of factor, analysis of reliability, analysis of cluster, analysis of variance and analysis of cross. As a result, lifestyle group types were classified as fashion and social focus types, family-oriented types, and family-free types. These types were highly related to age, final education, and marital status among demographic characteristics, and were also found to be highly relevant to the characteristics of beauty salon use, such as beauty salon location and frequently used beauty services. The results of this study are thought to be the basic data that can be used for beauty salon marketing.

• Korean Journal of Organic Agriculture
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• v.27 no.3
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• pp.247-269
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• 2019

Although food related lifestyle has been widely discussed over the last ten years, the majority of research on food related lifestyle has been only conducted in terms of a variable-centered approach. But, recently there is a growing body of research on food related lifestyle profiles over the last three years from the view of a person-centered approach. This study conducted both a cluster analysis and a latent profile analysis (LPA) to identify the patterns of potential food related lifestyle customer profiles based on the five components on the sample of customer, who bought organic products (n=509). The results of each statistical analysis showed both quantitatively and qualitatively different types of food related lifestyle customer profiles even though there were similar types of profiles identified in common between these two analyses. These various profiles were then compared with customer's level of buying behaviors (e.g., buying attitude and buying intentions). Results showed that food related lifestyle profiles with respect to the high level of interesting in dietary life in terms of health and safety are associated with the higher level of buying behaviors. Based on the results, implications for food related lifestyle literature, practices and future research are discussed.

• Journal of the Korean Society of Food Culture
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• v.23 no.3
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• pp.377-387
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• 2008

The objective of this study was to use cluster analysis to determine differences in eating-out behavior among grouped clusters of female consumers after each cluster was divided based on lifestyle patterns. The data were collected by interview survey from a biased sample of 1,300 females, ranging from ages 20 to 59, and living in residential districts of Seoul. Reliability analysis, factor analysis, cluster analysis, cross-tabulation analysis, and analysis of variance (ANOVA) were applied to the data. Four lifestyle factors were extracted by lower-division and classified as follows: health condition, consuming, food, and housing lifestyles. Based on these four factors, the female consumers were grouped as three clusters: the consuming-individuality type, rational-pursuit type, and conservative-stability type. The eating-out behavior of each cluster was significantly different in terms of frequency of eating-out, eating-out expenditures, restaurant selection criteria, food preferences, and the purpose for eating-out. Since this study surveyed females from ages 20 to 59, age and demographics were the differential factors in determining the various lifestyle types. Thus, to target the consumers who form a target market, the food industry should consider market segmentation that combines demographic factors such as age, income, and marital status.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.11
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• pp.1781-1793
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• 2009

This study classifies the lifestyle of elderly female consumers in their 60's and 70's and examines the influence of lifestyles on personal clothing purchase behavior. This paper classified the types of lifestyle and examined the influence of lifestyle types on the perceived importance of salesperson's characteristics and store evaluation criteria. A survey was conducted on 194 elderly females in their 60's and 70's living in Seoul. The SPSS 14.0 program was used to analyze the data. Descriptive statistics, factor analysis, reliability analysis, K-means cluster analysis, and one-way ANOVA followed by Duncan post hoc comparisons were conducted. The research results are as follow. First, in order to identify the lifestyle factors of elderly female consumers a factor analysis was conducted that indicated 9 factors. Second, as a result of the cluster analysis of lifestyle types, the respondents were classified into 'proactives', 'passive stagnants', 'independent misers', and 'conservative consumers'. Third, according to lifestyle, weight on 'appearance and image', 'professionalism', 'ethics', 'similarity', and 'customer orientation' abilities of the salesperson were significantly different. Fourth, in relation to the store evaluation criteria by lifestyle, a significant difference was found in the attention to 'physical service' by a salesperson.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.425-436
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• 2012

This research aims to investigate the life-style and types of leisure experienced among airline flight attendants during temporary stays abroad. In this study 2 hypotheses based on literature reviews were employed. Questionnaires were also developed based on data collected from previous studies. Subjects of the study were focused on flight attendants in Legacy Airlines. Factor analysis and reliability coefficients were used to examine the internal consistency among variables. Seven dimensions of leisure, which are cultural experience, pursuit of success, social orientation, humanity, pursuit of fashion, shopping preferences and health-orientation were identified from factor analysis. Three dimensions of leisure, which include type of rest, type of sports, and activity of tourists, were identified from factor analysis accordingly. Lifestyle factors were extracted from a result of cluster analysis, cluster 1- Passive lifestyle, Active lifestyle community type 2, and Cluster 3 analyzed Self-satisfied lifestyle types. Airline cabin crew workers involved in the life style analysis can make good use of leisure time.

• The Research Journal of the Costume Culture
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• v.10 no.5
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• pp.504-517
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• 2002

The purposes of this study were to analyze the lifestyle of women in their 50's and 60's and to provide the basis fur the efficient strategy of silver market by classifying women in their 50's and 60's according to lifestyle types and investigating the effect of consumers' lifestyle and demographic characteristics on consumers' clothing evaluation criteria and buying place. In this study, a selfㆍadministered questionnaire was distributed to women in their 50's and 60's. 226 questionnaires of 350 were used in the following analysis. The data were analyzed with the SPSS package. The results of this study were as follows. First, lifestyle were analyzed to find out the underlying factors, and then the subjects were grouped according to factor scores by the cluster analysis. Four lifestyle types were defined. They were the traditional family-oriented, the ostentatious purchase, the economical material-oriented, the active economics-oriented type. Second, a consumer's clothing evaluation criteria were classified according to three characteristics - aesthetic, practical and ostentatious. A consumer's clothing evaluation criteria were significantly different depending on the consumer's lifestyle and demographic characteristics. All lifestyle types except ostentatious purchase type considered practical characteristic like easiness of washing/care, harmony with other clothing, quality and price. The higher education, income and clothing expense, the more a customer considered ostentatious characteristic like fashionability and reputation of brand in selection of clothing.

• Journal of Fashion Business
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• v.16 no.1
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• pp.26-40
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• 2012

The purpose of this study is to examine the fashion lifestyle variable of global consumers and to compare among US, Chinese and EU consumers. The data were collected in US(n=749), China(n=702) and EU(n=1083) from 2008 to 2010. For analysis, factor analysis, reliability analysis, K-means cluster analysis and chi-square analysis of SPSS 18.0 are used. The research results are as follow: First, it is shown that significant lifestyle factors of global fashion consumers are "adventure seeking", "fashion-oriented", "conspicuous consumption", "leadership", "brand-oriented", and "DIY". As a result of the cluster analysis of lifestyle types, four cross-national market segments are identified. These segments can be labeled as follows: "conservative fashion-oriented group", "passive consumer group", "neutral consumer group", "active fashion-oriented group". Second, findings also reveal that fashion lifestyle segments had meaningful differences between nationality and by year. Third, the US consumers tended to have conservative fashion-oriented lifestyle in 2008, however global consumers were changed to have active fashion lifestyle in 2010. This research will be useful to global brands in planning marketing strategies by offering specific information for global consumer fashion lifestyle.

• Culinary science and hospitality research
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• v.18 no.4
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• pp.47-58
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• 2012

This study, targeting the students of "K" university in Busan City area, was performed to draw the groups by food-related lifestyle types and to identify the correlation between each group's attributes of selecting places to eat out and obesity index. The purpose of the study was achieved by means of the PASW Statistic 18.0(Predictive Analytics Software) which conducted frequency analysis, factor analysis, reliability analysis, t-test, ${\chi}^2$-test, non-hierarchical cluster analysis and ANOVA. It turned out that the male university students were 175.59 cm tall and weigh 69.53 kg on average. And the female university students showed their average height of 162.81 cm and weight of 53.42 kg. When examined by the body mass index(BMI), male students were composed of 1.7% of underweight, 64.6% of normal weight, 19.7% of overweight and 14.0% of obese. As for the female students, 22.9% were classified as underweight, 62.7% as normal weight, 8.5% as overweight and 5.9% as obese. The food-related lifestyle categories were divided into five factors; health seeking type, safety seeking type, mood seeking type, taste seeking type, and western food seeking type. The four attributes of selecting places to eat out included quality of food and service, price reasonableness, accessibility and atmosphere, and experience to have eaten. With regard to food-related lifestyle, the groups were named by cluster 1 [careless diet group], Cluster 2 [health oriented group], and cluster3 [careless healthcare group]. In terms of the correlation between the clusters by food-related lifestyle and their attributes of selecting places to eat out, Cluster 1 had a high mean value in experience to have eaten, Cluster 2 quality of food and service, Cluster 3 accessibility and atmosphere.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.212-219
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• 2020

We conducted this study to identify the accommodation applications users' lifestyle types and the composition factors for consumers' accommodation applications selection attributes and to identify the difference in the selection attributes perception of accommodation applications between groups classified by user's lifestyle types. According to the study, 6 factors were derived as the accommodation applications users' lifestyle types and were named social/leisure-oriented type, fashion-seeking type, culture-seeking type, self-examining type, self-centered type, family-oriented type. Also 6 factors were derived as the accommodation applications selection attributes and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. Valid clusters were divided into four groups and were named culture/tourism group, self-examining group, passive and cautious group and Social and practicality-seeking group. Most of the selection attributes perception of accommodation applications between groups had statistically significant differences(p<.05), except for some items of transaction reliability. Based on the results of this study, we should strive to establish effective marketing strategies that reflect differences in the selection attributes perception of the accommodation application between groups classified by users' lifestyle types.