This study is a theoretical approach by literature about life style and housing life style. The purpose of this research is making an analysis model of housing life style which can be used as a conceptual framework in empirical study. the theme of‘Life style’was studied mainly in the area of consumerism and housing. Model was made to explore the sub-domain of new analysis model by the microsociological approach. As results, 1) Independent variable of housing life style research model must be selected to be possible of comparison in effect of objective and subjective variable and in effect of predictive function and well-being function of housing life style. 2) Sub-domain of housing life style must be consisted of value orientation of family life, consumption in house, consumer durables, furniture., and propensity to using space. 3) Conceptual model of housing life style must be tested in empirical study to know what is the housing adjustment behavior of individual family, to improve quality of housing life and to suggest housing policy for family as a consumer.
This paper is to examine relative explaining power of socio-demographic variables, life style variables, environmental education, and environmental consciousness on the environmental behavior of housewives. Major results were as follows : As for life style, there different types such as socio-oriented, spare-life, fashion-oriented were examined. Spare-life style was most pervasive on Seoulite housewives. And spare-life style was emerged when housewives ages were old, education level was low, household income was low, hose type was Life-style were most influencing variables on environmental behavior. And environmental education was more powerful variables than environmental consciousness.
The purpose of this study was to clarify tile tendency of differences in housing values and life style of high school students in Chonbuk province. Data were collected through questionnaires from 1015 high school students living in Chonbuk province, and were analyzed by SPSS program using percentage, mean and standard deviation. Data were verified by t-test, One-way Anova, Scheffe's multiple range test, Pearson's correlation coefficient as well. The findings of this study were as follows; There were more significant differences in housing values and life style by demographic variables than housing characteristic variables. And correlation between housing values and life style differed significantly Most of students showed higher value in location of housing, while as life style showed higher value in type of life style along with PC. On the basis of this result,. it can be suggested that it is necessary to have the right understanding about housing values and life style of high school students for correct guidance of housing education.
The purpose of this study was to clarify the relationship between life style and housing satisfaction of high school students. This is the investigation of which 1015 high school students live in Chonbuk province. In this statistical analysis, SPSS program was utilized to calculate percentage, mean and standard deviation. Also. these materials were verified by t-test, one-way ANOVA, Pearson's correlation coefficient. The main results of this study were as follows. There was a significant difference between life style and housing satisfaction, according to demographic variables and housing characteristic variables. The entire life style has been appeared high type of a along with PC. Most of students has been appeared high in health and security of housing. Also, correlation of life style and housing satisfaction showed significantly. On the basic of these results, it can be suggested : It is necessary to have the righteous understanding about life style and housing satisfaction, of high school students for advisable guidance of housing education. It needed to continue diversified researches considering spread of life style 'with PC' and enough awareness of health and security in housing satisfaction.
For the last decades, service quality has been studied as one of the most important tools for a service company to compete with the other companies. Based on these past researches, it has been agreed that the service quality is a basic and powerful tool to create the competitive advantage. Due to similar reason, many service marketing practitioners have been also focused on the service quality to retain the existing consumers and collect the new consumers. However, service quality is subjectively perceived by individual consumers. Consumer evaluation of service quality can be different from each other. Especially consumers with one life-style may evaluate the service quality differently from the consumers with the other life-styles. Therefore we need to know whether there are differences in service quality perception on the categories of life-style. Life-style refers to a distinctive mode of living in its aggregate and broadest sense. It embodies the patterns that were developed and emerged from the dynamics of living in a society. Since the concept of life-style and its relationship to marketing was introduced in 1963 by William Lazer, methods of measuring the life-style and their application have been developed. Life-style has been usually used to segment the marketplace because it offers marketers a unique and important view of the market. When Life-style is combined with clustering methods, life-style segmentation can generate identifiable whole persons rather than isolated fragment. Life-style segmentation begins with people instead of products and classifies them into different life-style types, each characterized by a unique style of living based on a wide range of activities, interests, and opinions(Plummer, 1974). In this study we applies the life-style segmentation based on the AIO(Activities, Interests, and Opinions) to the consumers of the large discount stores. In Korea, the large discount store market has entered into maturity stage so that the market differentiation strategy is becoming a more critical issue to the marketing practitioners. One of the most important tools to differentiate from the competitors in large discount store market is continuously to provide service of better quality than competitors. This study tries to find answers about the following questions: 1) How can we categorize the consumer life-styles in the large discount store? 2) What are the characteristics of the categorized groups? 3) Are there any differences in service quality perception among the consumers with different life-styles 4) Are there any differences in consumer behavior among them in the large discount store? For the purpose, we collected survey data from consumers and analyzed the data with the SPSS package where we had $X^2$-test, factor analysis, ANOVA, MANOVA, and cluster analysis. The survey was made during one month in the April of 2008. Among the collected 306 copies of questionnaires, 281 copies were chosen as the effective samples for empirical analysis except 25 copies with wrong responses. To identify the life-style patterns, we used the measures employed by Kim and Kwon(1999), where 44 items on a seven-point scale were used to measure factors of the life-style patterns. The Principal Component Method was used for factor extraction, and the VARIMAX orthogonal factor rotation was employed. The 7 items showing low factor loading were eliminated. The results of the factor analysis suggested that nine factors of the life-style patterns were identified as follows: 1) the equality-of-sexes and pursuit-of-independence tendency 2) self-management tendency 3) sociable tendency 4) self-display tendency 5) degree of a dilettante life 6) pursuit-of-information tendency 7) bargain hunter tendency 8) TV preference tendency 9) pursuit-of-leisure tendency. Next, after the K-means cluster analysis was performed with nine factors of the life-style patterns, the life-styles of the respondents were classified into four groups which are named as the 'progressive practicality-oriented group', 'positive success-oriented group', 'sociable ostentation-oriented group', 'stable conservation-oriented group'. The analysis results for usage behavior between the market segments showed statistically significant differences in the frequency of usage, duration time in the store, consumer satisfaction, and loyalty. Also, we tried to investigate whether the large discount store consumers differently perceive the quality of service based upon the types of life-style. To measure the service quality of large discount store, we adapted several measurement models measuring the service quality such as SERVPERF, BCP, R-SERVPERF, R-BCP. MANOVA and One-Way ANOVA were performed to confirm the difference in service quality perception based on the market segments. The results have also shown significant differences between life-style types in service quality perception. These findings show that the large discount store marketers should consider consumer life-style as one of the most important market segments for marketing and understand the difference in service quality perception between life-style types. Our findings give important implications to marketers of large discount stores as well as life-style researchers. First, this study showed there were significant differences in consumer's service quality perception and usage behavior between the types of life-style. It provides evidence that the life-style approach can be a important basis in segmenting the large discount store market and will make consumers perceive the service quality high. Second, most previous researches on service quality have been in aggregate level. However, our results imply that the future research on service quality have to focus on segment level.
The purpose of this study was to classify the types of housing life style. Housing life style was measured using four variables : furniture usage pattern, space usage pattern, family living pattern and heating system. A final Instrument was developed through the two stage pilot surveys. The respondents were 1,292 home-makers of the middle and high economic classes In Seoul and Daejeon, selected through stratified random sampling technique. Data were analyzed using SAS computer packages. The statistics used were frequency, percentage, Pear-3on`s correlation coefficient, Multiple Linear Regression, X2, and cluster analysis.The major findings were as follows : Five representative types of housing life style were found through cluster analysis. They were conventional minimum level life style, conventional optimum famiIy-centered life style, eclectic family-centered life style, contemporary optimum family - centered and contemporary so-cial, leasure-oriented life style.
This study had been carried out to analyze the relationship among the personal variables, the variales of life style and physical and mental health status of workers. In order to analyze the influence of industrial worker's life-style on physical and mental health status of workers, explore the relaionship between healh status and their life-style. Special interest in this study was the assesment of worker's physical and mental health status measured by the Todai Health Index(THI)-a self-adminstered health stutus screening instrument developed by a University of and Gumma research team. Data were collected from an industry of 1,495 workers at city of Chang Won in Korea. 1. The young age group especially the group who had short work duraion less than two years had high THI scores which were statistically significant. 2. A worker who followed 6∼7 good life style scores were found to be associated with better health status than those who followed 0-3 bad life style scores in most of all dimensions of physical and mental health scales of THI. 3. According to the multiple regression analysis, the variable of life style scores had the greatest influence on physical and mental health status of industrial workers. The variable of age, duration of work, and life style were included in the regression model(R²= 18.8).
The purpose of this study is to offer basic data of education to improve farm lives though investigating rural homemakers' life style. The results of this study are as follows : 1. The life structure of rural homemakers was classified into two structures as a material resources and human resources. The life style of rural homemakers was classified into systematical life style, traditional value style, social active style, and progressive active style. 2. The life styles of rural homemakers according to social population variance were as follows. The lower of age, homemakers whose family incomes more 30 million won or below 10 million won, who has religions, who employed in livestock were showed at very systematical life style. The homemakers who live in mountain village, higher the much age becomes, and the education level become lower, have showed traditional value style. Rural homemakers the lower of age, the higher incomes, composed of single parent ＋ children who remain single were appeared social active style. Rural homemakers the lower of age, the more shortened farm life periods, who employed in livestock were appeared progressive active style. 3. Systematical life style was more affected by material resources structure, traditional value style was affected by material resources. And social active style was more affected by human resources, progressive active style was affected by human resources.
Journal of the Korea Fashion and Costume Design Association
This study looked into the effect of the life style of single females in 20s and 30s on beauty behavior recognition, and spss 17.0 is used for data analysis method. As for the statistical analysis method in order to validate the measurement tools, reliability verification is conducted and life style groups are sampled using K-means taking into account factor scores by life style. To find out the difference between general beauty behavior recognition and life style, descriptive statistics and One Way ANOVA were carried out, and Duncan Test was implemented for the post examination method. Multiple regression analysis was also carried out to figure out the effect of life style on beauty behavior recognition. The result is as follows. First, according to the results of reliability verification and factor analysis for the lifestyle type and the recognition of the behavior for beauty, the types of the life style of the subjects were divided into Economic Utility, Convention Conservatism, Self Development, Showy Consumption, and Appearance Oriented, and the recognition of the behavior for beauty was named as Makeup and Hair, Cosmetic Surgery, Body Care, and Skin Care. Second, as to the recognition of the behavior for beauty based upon the lifestyle, the Appearance Oriented in Showy Consumption recorded the highest. Third, the analysis of the influence of the style on the recognition of the behavior for beauty showed that the behavior recognition for Makeup and Hair and for Skin Care was affected by the life style of Self Development, Showy Consumption, and Appearance Oriented; the behavior recognition for Cosmetic Surgery was affected by the life style of Conventional Conservatism, Showy Consumption, and Appearance Oriented; and again the behavior recognition for Body Care was by that of Economical Utility and Showy Consumption.
The purpose of this study was to classify consumer groups according to the life style dimensions and to analyze conspicuous consumption, clothing shopping motives among consumer groups, and also to clarify relationships between demographic variables and the life style, conspicuous consumption, clothing shopping motives. The subjects were 329 women in their twenties living in Seoul. For data analysis, mean, factor analysis, cluster analysis, t-test, ANOVA, Duncan test were conducted. The results were as follows ; First, consumer groups were classified into the following five subdivisions : passive group, appearance consideration/self-realization group, appearance indifference group, family oriented/economic group, achievement oriented/active group. Second, the significant differences among the classified life style groups were found in conspicuous consumption and clothing shopping motives. Third, there were significant differences in life style, conspicuous consumption, clothing shopping motives according to demographic variables like age, occupation.
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