• Journal of Animal Science and Technology
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• 제55권5호
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• pp.405-416
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• 2013

본 연구는 도체월령별 도체형질의 변화를 분석하여 적정 도축시기를 결정하는 데 필요한 정보를 얻기 위한 목적으로 실시하였으며, 2005년 10월부터 2011년 9월 사이에 도축된 거세우 17,249두의 도체형질자료를 이용하였다. 각 도체형질의 평균과 표준편차는 도축일령, 도체중, 등지방두께, 등심면적, 근내지방도, 육량지수, 도체단가 및 도체 총가격에서 각각 $940.4{\pm}73.00$, $437.0{\pm}48.70$ kg, $12.1{\pm}4.32$ mm, $90.3{\pm}9.51cm^2$, $5.7{\pm}1.86$, $65.13{\pm}3.23$, $14.150{\pm}1.77$천원 및 $6181.18{\pm}1009.46$천 원으로 나타났다. 도체월령별 회귀계수에서 조기 도축그룹에서는 도체 단가를 제외한 전체 형질들에서, 만기 도축그룹에서는 근내지방도를 제외한 전체 형질들에서 월령별 회귀계수가 유의성이 인정되었다. 수익을 얻기 위해서는 28개월령 이전으로 도축시기를 결정해야 할 것으로 판단된다.

• 한국의류산업학회지
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• 제19권4호
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• pp.448-467
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• 2017

Attention to living lifestyle shops covering with the wide product range including household items, interior decoration, and bedding have recently increased since consumers have been improving their standard of living and income levels and they are getting more interested in up-to-date trends of global living lifestyles. The purpose of this study is first, to analyze the market situation of living lifestyle shops using the case study method and second, to investigate consumer's store usage behavior, product purchase motives, and attitudes to the living lifestyle shops using the empirical study method. For an empirical study, the survey was conducted with 20s to 50s female respondents who have visited living lifestyle shops and a total of 227 responses were analyzed using SPSS 18.0. The results of this study were as follows. The most frequently visit store was MUJI and most of respondents tended to visit the store once a month and their interest and purchase items were household items. Only impulsive purchase motives among other motives of living lifestyle shops, such as others-oriented, situational, and reasonable motives, significantly had a positive effect on store attitudes toward living lifestyle shops. There were differences in purchasing items at living lifestyle shops depending on marriage status and occupation. Purchase motives of living lifestyle products were statistically influenced by demographic factors such as age, marriage status and income level, however store attitudes were not. The managerial implications for living lifestyle shops are discussed limitations and areas for future research as well.