• Journal of the Korean Institute of Rural Architecture
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• v.14 no.4
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• pp.143-152
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• 2012

The purpose of this study was to provide practical data for proposing the housing environment support policy, fit for returners-to-village. For the purpose, this study focused the patterns of returners-to-village according to their experience of rural life, and their ways of settlement like planning and getting land and house. The questionnaires were answered by 91 persons who were living in Chungbuk area, and were analyzed chi-analysis on their socio-demographic characteristics according to experience of rural life, preparation of settlement and construction. The ANOVA were used to analyze their pattern of return according to experience, the period for getting house, and their satisfaction level of house size. The results were as follows. First, the returners showed differentiated tendency according to their experience of rural life, in their age, family life cycle, education level and income source after return. The experience of rural life explained the purpose of return and the living pattern after return. Direct experience group was mostly occupational farmer; indirect experience group mostly pursued good health & green life; non experience group mostly pursued green life. Second, the experience of rural life also explained differentiated tendency of returning preparation. In raising money, direct experience group mostly raised it privately but indirect or non experience group mostly used bank loan. Third, the returners mostly constructed new houses; non experience group almost constructed newly, but there were cases to utilize existing or vacant house in direct experience group, and indirect experience group favored existing house or remodeling of vacant house.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.37-52
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• 2018

With the increasing severity of the shortage of highly-skilled IT personnel, more and more attention is being paid to the professional career path and systematic career management of IT employees. Although some studies have been conducted to describe the current status of IT personnel, limited attempts have been made to analyze the career paths or career patterns of IT professionals from a longitudinal perspective. In this context, this study explored the job career patterns of IT professionals in Korea and examined their relationship with subjective and objective career success. To identify job career patterns over time, detailed information about jobs and positions were used and an optimal matching analysis (OMA) was conducted to calculate the dissimilarity matrix between employees' career sequences, while a cluster analysis was used to categorize the meaningful groups based on this dissimilarity data. This analysis revealed that career patterns among Korean IT personnel are more varied than previously thought. These career types have a significant relationship with individual profiles, such as age, education, industry and company size, and account for significant variations in the three main career success variables, i.e. quality of life, assessment of software quality, and wage level. It is expected that the findings of this study will contribute to refining the Korean career path so as to retain IT personnel, and raise the need to improve the low quality of life and poor SW work environment of IT personnel.

• Korean Journal of Community Nutrition
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• v.3 no.5
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• pp.722-728
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• 1998

The purpose of this study was to compare dietary patterns, dietary behaviors and life styles before and after breast cancer surgery in Korea. The subjects were 220 females who underwent surgery for stage I-III breast cancer at general hospitals. Food intake, eating habits, snacks, eating-out, use of nutritional supplements and healthy foods, and drinking and smoking habits were studied using a questionnaire. SAS program was used for statistical analysis of the data. The results are as follows : 1) Most subjects were housewives aged more than 40 years. 2) After breast cancer surgery, intakes of fruits and vegetables were increased and those of meat, salty and spicy foods were decreased. 3) There was a significant difference in takes of caffeine beverages, snacks, fast foods and instant foods before and after breast cancer surgery. 4) There was a significant difference in meal regularity and skipping breakfast before and after breast cancer surgery. 5) The frequency of eating-out was decreased and low-fat foods, such as Japanese foods, were preferred after breast cancer surgery. 6) Nutritional supplements and natural healthy foods were used more after breast cancer surgery. 7) Most subjects were non-smokers and drank little alcohol and the rate of regular drinking significantly decreased after breast cancer surgery. Therefore, there was a significant difference in dietary patterns and behaviors resulting form breast cancer. Further more, dietary factors may be a contributing factor in the incidence at breast cancer in Korea.

• Korean Journal of Human Ecology
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• v.15 no.3
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• pp.469-480
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• 2006

Patterns in clothing symbolize some specific meaning that differs across cultures and religions, although patterns have been mostly used to realize human desires to overcome natural hazards in every culture or religion. This research aims to compare animal patterns of Korea (Confucian/Buddhism culture) with those of Byzantine (Christian culture), based upon a research method of literature survey. It is found through the research that both cultures used common patterns, such as dragon, butterfly, bat, honeybee, peacock, fish, and chicken. In the case of dragon patterns, Korea used it to symbolize emperor, dignity, or authority, while Byzantine used it for devil. Bat patterns had different symbolic meanings in both cultures: they mean happiness, longevity, prosperity or many off-springs in Korea while they mean misfortune or unhappiness in Byzantine. On the other hand, the rest of animal patterns, including butterfly, honeybee, peacock, chicken, had quite a similar symbolic meaning. Butterfly means change of life or beginning of new life in Korea, whereas it means resurrection in Byzantine. Honeybee symbolizes diligence, order, and cooperation. Many animal patterns were used in both cultures at the same time. Another difference can be found in terms of the kind of animals; for example, Korea used wild goose, pheasant, giraffe, deer, mandarin duck & turtle, while Byzantine used eagle, snake, pigeon. Of course, each and every animal has its own meaning, mostly positive. Except dragons and bats, both cultures have a similar meaning in most of animal patterns. Generally speaking, Korea used imaginary animals to pray for human happiness, but Byzantine used real animals to pray for resurrections.

• Korea journal of population studies
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• v.26 no.2
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• pp.63-90
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• 2003

This study aims to discover patterns of Korean women's life course in terms of their life time sequence of family roles and economic activity. Primary factors for the change and diversity of family-work role sequence are also examined. Data used in this study is the Fourth Survey of Korean Women's Economic Activity which was conducted by Korean Institute of Women Development (KIWD) in 2002. According to the main results, five distinctive patterns of life course are to be disentangled for ever married women: First, doing simultaneously family and work roles with no maternal leave (13.7%); second, reentry into labor market after maternal leave (M type, 18.6%); third, no reentry into labor market after maternal leave (latent M type, 26.9%); fourth, first job entry after child rearing (23.5%); and finally, no work experience (17.3%). The relative composition of the respective life course has changed over marriage cohorts. M type including latent M type became a dominant life pattern among married women since marriage cohorts of 1980 and later. The share of married women who begin to work first after maternal role or have no work experience has declined with recent marriage cohorts. It is also noted that the share of women with simultaneous family and work roles has increased among marital cohorts of 1990 and later. Marriage cohort differences being controlled, life patterns significantly differ by women's educational level, existence of role model of working mother at growth, women's own and husbands' gender role attitude, and family economy. Finally, some policy concerns for gender role division of family and work are raised.

• International Journal of Human Ecology
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• v.1 no.1
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• pp.79-93
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• 2000

Using the 1995 Survey of Consumer Finances, this study investigates how family life-cycle stages and financial management practices affect household saving. First findings are that household income and householders education, race and ethnicity have significant effects on saving. Second, regarding the effect of the family life-cycle stages, younger married couples without children, middle pre-retired households without dependent children, and older households without dependent children are more likely to save than other similar households in the life-cycle stage of younger single households. Third, households with longer financial planning horizons, saving goals for retirement, purchase of durable goods and emergency goods, and low credit card debt are more likely to save. Based on the results, implications for financial management education and public policy are suggested.

• Journal of the Korean Home Economics Association
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• v.26 no.3
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• pp.153-169
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• 1988

This study aimed at investigating the socialization of householdwork to the difference of life style pattern of housewives. For the purpose, questionnaires were administrated to the housewives in Seoul and to analyse of the date, factor analysis F-test, t-test and path analysis were used. The results can be summarized as follows ; 1. By utilizing factor analysis, the life style patterns of housewives were classified into 7 types, they were named, self-improvement type, social activity type, modernistic type, sound and thrifty type, variety-seeking type, passive stability-seeking type, the traditional and conservative type. And the patterns of life style differed significantly according to all of the demographic variables except family type. 2. The level of socialization of householdwork was not reaching the medium, and the mean was 19.45. 3. The socialization of householdwork were influenced indirectly by the age, educational level, income level, family type and social activity type, variety seeking type, traditional and conservative type of the life style pattern. And directly, the age and educational level influenced the socialization of householdwork.

• Korean Journal of Social Welfare Studies
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• v.42 no.1
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• pp.305-331
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• 2011

This study analyzes the consumption patterns of the poor households. The first objective of this analysis is to show that the group living in poverty get not one consumption pattern but several types of consumption patterns. The second objective is to understand what factors effect the consumption patterns. This study use the data of Korea Welfare Panel Study in 2008 & 2009. In oder to achieve first goal, We conduct factor analysis and cluster analysis. And to achieve second goal, We conduct multinomial logistic Analysis. Major findings are as follows. First we find six patterns of consuming types of the poor households. They are education oriented consuming type, diet oriented type, social network oriented type, transportation-communication oriented type, health & medical oriented type, and housing expenditure oriented type. Second we find these consumption patterns are effected by not economic factors but socio-populational factors, especially by life cycle of members of household.

• Journal of Global Scholars of Marketing Science
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• v.19 no.2
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• pp.53-67
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• 2009

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 Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1189-1202
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• 1999

As compared with VOD data, NOD article data has the following characteristics: it is created at any time, has a short life cycle, is selected as not one article but several articles by a user, and has high access locality in time. Because of these intrinsic features, user access patterns of NOD article data are different from those of VOD. Thus, building NOD system using the existing techniques of VOD system leads to poor performance. In this paper, we analysis the log file of a currently running electronic newspaper, show that the popularity distribution of NOD articles is different from Zipf distribution of VOD data, and suggest a new popularity model of NOD article data MS-Zipf(Multi-Selection Zipf) distribution and its approximate solution. Also we present a life cycle model of NOD article data, which shows changes of popularity over time. Using this life cycle model, we develop LLBF (Largest Life-cycle Based Frequency) prefetching algorithm and analysis he performance by simulation. The developed LLBF algorithm supports the similar level in hit-ratio to the other prefetching algorithms such as LRU(Least Recently Used) etc, while decreasing the number of data replacement in article prefetching and reducing the overhead of the prefetching in system performance. Using the accurate user access patterns of NOD article data, we could analysis correctly the performance of NOD server system and develop the efficient policies in the implementation of NOD server system.