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.

This study had carried out to investigate the usage status of customer, the positive effects and problems, and the most important items of the nutrition labeling at purchasing the food etc. on the current nutrition labeling system in order to establish the customer-centric nutrition labeling system. Survey was carried out by questionnaire method that is targeted on adult female above 20 years old in Seoul and Kyeongnam area from May to June, 2004. For the experience of checking the nutrition label of the processed domestic and imported processed food, 82% and 75.4% of the respondents were replied 'have checked' respectively. For the positive effects due to enforcement of the nutrition labeling system, the respondents agreed highly with 'easy to compare with other products' and 'improve the products quality'. For the problems of the nutrition labeling system, the respondents agreed highly with 'different criteria for each product' and 'incendiary purchasing due to false or exaggerated labeling', and gave the higher scale for the positive effects than the problems relatively. For the necessity of the nutrition labeling system, 96.2% of the respondents were replied 'necessary', and it was indicated a significant difference on age and marital status(p<.01). For the price rising due to enforcement of the nutrition labeling system, 55.2% of respondents agreed, and it was indicated a very significant difference on age and monthly income(p<.001). For the most important nutrition labeling items at purchasing the food, the respondents were replied 'total calorie' on most of the food, and in addition, they checked carefully the lipid, cholesterol, protein, Ca, and Fe.