• 대한지역사회영양학회지
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• 제17권1호
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• pp.91-100
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• 2012

This study aimed to evaluate the effectiveness of the foodservice management support program focusing on menu management in community child centers. The support program provided reference menus, staff training, and field consulting to 10 community child centers in the Jeollanam-do province for one month, August in 2010. One month menus were developed, based on children's preference for menu items, foodservice personnel's preference for food materials, and availability of local specialty foods, and offered as reference menus. In addition, staff training and field consulting focusing on menu management were conducted before and during the pilot period, respectively. To evaluate the support program, menus, foodservice personnel's knowledge level and perceived performance in foodservice management, and children's level of satisfaction for foodservice were analyzed before and after the support program. As a result of analysis of 222 and 210 menus of before and after the support program, respectively, the number of dishes per meal increased from five to six on average, and the proportion of meals including five food groups, which were grain, meat, vegetable, fruit, and milk and dairy product, rose from 2% to 24%. Foodservice personnel's knowledge level regarding foodservice management increased significantly (p = 0.007), however, their perceived performance in foodservice management did not show any significant changes. Children were more satisfied with 'food' (p = 0.001), 'sanitation' (p = 0.001), and 'environment' (p < 0.008) of foodservice in community child centers after the support program. In conclusion, the foodservice management support program focusing on menu management in this study was effective for improving menu quality of and children's satisfaction with foodservice in community child centers.

• 한국관광식음료학회지:관광식음료경영연구
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• 제14권2호
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• pp.95-119
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• 2003

Case Study about the management of bakery menu through a menu analysis: This study checked the sales of bakeries this researcher has operated for 4 weeks before evaluating the menu with Kasavana & Smith Analysis, changing the position of the menu on the theoretical base of space composition and then checking the sales for 4 weeks again and analyzing in the same way. The study compared the two groups by using the menu analysis. The menu used in the analysis included 31 items produced in the stores and 29 items turned out from the headquarters. The results of the menu evaluation through Kasavana & Smith Analysis are as follows: (i) before changing the position of the menu 22 Stars, 20 Puzzles, 15 Plowhorses, 13 Dogs (ii) after changing the position 18 Stars, 24 Puzzles, 12 Plowhorses, 6 Dogs During the study, it was inconvenient that many things not thought about before were discovered. The limitations of the study are as below: a) when the displayed items were sold out, they couldn't be supplied continuously. The items from the headquarters were supplied as many as the ordered volume. As the stores prepared materials only for the day, they only produced bakeries as many as the dairy target. So it is difficult for them to keep extra bakery. b) it is natural that a new item make the sales of the existing items cut down. During the study, there appeared a new item, which influenced on the sales. c) as the store this researcher manages is smaller than the others, it was difficult to change all the position of the menu. With only 18 items changing their positions, there couldn't obtain more accurate data. d) because of the franchise contract, there fixed the prices of supply and sale. Therefore the price of Plowhorse couldn't be changed. However on the base of this study, it can search more specific ways to efficiently manage the bakery business in the future.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2006년도 학술대회 1부
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• pp.419-424
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• 2006

본 연구는 데스크탑 PC 환경에서 사용될 수 있는 다양한 적응형 메뉴 인터페이스의 사용성을 평가한다. 선택 빈도에 따라 자동으로 변화하는 2가지 방식의 Adaptive menu와 사용자가 메뉴 내에서 원하는 항목의 위치를 직접 변경하는 Adaptable menu의 사용성을 일반적으로 많이 이용되는 Traditional menu와 비교하기 위해 사용자를 동원한 평가 실험을 수행하였다. Adaptive menu에는 선택 빈도가 높은 메뉴 항목이 메뉴의 상단으로 이동하는 Adaptive split menu와 자주 선택되는 항목이 굵은 글씨로 표현되는 Adaptive style menu가 포함된다. 각 방식의 적응형 메뉴가 자주 선택되는 메뉴 항목의 변화에 따라 얼마나 민감하게 영향을 받는지 비교하기 위해, 두 개의 각기 다른 선택 빈도 분포가 이용되었다. 각 실험 조건 별로 사용자가 메뉴 항목을 선택하는 데 걸린 시간과 오류 회수를 측정하였으며, 피실험자로 하여금 시인성, 효율성, 전반적 선호도 등의 주관적인 만족도를 평가하도록 하였다. 각각의 종속 변수들은 분산 분석(ANOVA), Chi-square test, Friedman test 등의 기법을 이용해 분석되었다. 분석 결과, Adaptable menu가 다른 방식의 메뉴들에 비해 수행도와 만족도 모두 높은 것으로 나타났으며, Adaptive split menu는 상대적으로 현실적인 조건 하에서 큰 효용을 갖지 못하는 것으로 나타났다. Adaptive style menu는 수행도 측면에서는 일반적인 메뉴와 큰 차이가 없었지만, 자주 선택되는 항목을 쉽게 파악할 수 있게 해 주고, 선택 빈도의 변화에도 민감하지 않기 때문에 사용자들에게 선호되는 것으로 나타났다. 본 연구의 결과는 데스크탑 PC의 적응형 메뉴 설계에 대한 이용될 수 있으며, 추후 휴대용 정보기기의 적응형 메뉴에 대한 사용성 연구의 기초 자료로도 활용될 수 있을 것으로 기대된다.

• 한국콘텐츠학회논문지
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• 제10권12호
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• pp.1-9
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• 2010

당뇨병은 대사질환의 일종으로 고혈당을 특징으로 하며, 고혈당으로 인하여 여러 증상 및 징후와 합병증을 유발하여 삶의 질을 급격히 저하시킨다. 당뇨병의 예방 및 치료를 위해서는 식이, 운동, 약물 처방 등이 있지만 무엇보다도 체계적인 식단 관리가 필수적이다. 본 논문에서는 체계적인 당뇨병 관리를 위해서 스마트폰 기반의 개인 맞춤형 식단 관리 시스템을 제안한다. 현재 대부분의 당뇨병 환자의 식단 서비스는 영양사나 의사의 주관적인 판단으로 식단을 처방하며 상황 및 개인의 선호도는 반영 되지 않는다. 제안하는 시스템은 당뇨식단을 계절, 날씨, 시간, 선호도에 맞추어 제공한다. 특히, 스마트 폰 서비스로 구현하여 언제 어디서나 장소에 제한받지 않고 사용자에게 레시피 및 개인화된 식단을 제공하며, 사용자의 간단한 조작만으로도 손쉽게 식단 변경이 가능하다.

• 한국식생활문화학회지
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• 제21권3호
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• pp.247-253
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• 2006

The purpose of this study was to investigate how comparative menu price, human service, amenity, and menu quality affected menu value, and how menu value influenced revisit intention. The model was tested in a family restaurant setting using a sample of customers visiting and enjoying menu in Daegu metropolitan city. Empirical results confirmed that not only do human service, amenity and menu quality increase menu value but that comparative menu price reduces menu value. Menu value was also found to be a significant antecedent of revisit intention. The results obtained have major implications for family restaurant marketers as well as for future research. First, family restaurant marketers should pay attention to menu pricing, as menu price decreased menu value. Second, family restaurant marketers should try to increase menu value through training of human service. Third, family restaurant marketers should try to add menu value by way of recruiting high-skilled cook. Fourth, family restaurant marketers should make efforts to attract customers through interior design.

• 대한영양사협회학술지
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• 제11권2호
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• pp.170-178
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• 2005

The purposes of this study were 1) to analyze the effect of the information quality of standard menu system of ERP on the user’s satisfaction 2) to analyze the effect of the information quality of standard menu system of ERP on the user’s performance. The questionnaires were distributed to 260 end users(dietitians, foodservice management managers) in charge of managing the institutional foodservice such as the office(government agencies, factories), schools(universities, middle and high school) and hospitals which were managed by contract foodservice management company “C” in Seoul and Kyunggi. The surveys were performed from July 26 to July 30, 2004. Two hundred and fifty questionnaires were responded(response rate : 96.2%). The statistical analysis was conducted by using SPSS Win(11.5). And the descriptive analysis, factor analysis, reliability test, pearson correlation and simple regression analysis were performed. The results showed that the information quality of standard menu system of ERP have a significant positive effect on the user’s satisfaction(p<0.001) and user’s performance(p<0.001). When constructing standard menu system on ERP in the contract foodservice management company, the information quality of standard menu system of ERP should be guaranteed in order to satisfy the end-user and to improve the user’s performance.

• Journal of Nutrition and Health
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• 제31권9호
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• pp.1508-1521
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• 1998

The purpose of this study was to analyze and evaluate the menu served in business & industry contract foodservice by assessing nutritional value and by using menu-engineering technique from managers' view point. CAN-Pro program and Kasavana k Smith's Menu Engineering technique were used to evaluate the nutritional value and menu analysis, respectively. The data were analyzed using the SAS package program for descriptive analysis, t-test, ANOVA, and Pearson Correlation Analysis. As the result of nutritional value of lunch menu, all nutrient contents per meal were higher than a third of Korean recommended dietary allowances(RDA), But there was no problem when 20∼30% of plate waste was considered. Carbohydrate : Protein fat ratio was 62.7 : 16.4 : 20.8. Because animal : vegetable source ratios of protein, fat, calcium, iron were 44 : 56, 42 : 58, 22 : 78, 24 : 76, respectively, animal sources of calcium and iron needed to be supplemented. Plural set menus of A site were classified as STAR, PUZZLE, PLOWHORSE, DOG by Menu engineering technique. Set menus and soups & pot-stews among cafeteria menus in C site were operated properly without DOG and PUZZLE item. Side dishes of fishes, meats 8t eggs among cafeteria menus in C site were, for the most part, classified as STAR item, and side dishes of vegetables & salads and noodles among cafeteria menus in C site were STAR, PUZZLE, and DOG items. (Korean J Nutrition 31(9) : 1508-1521, 1998)

• 대한영양사협회학술지
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• 제28권1호
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• pp.30-44
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• 2022

This study analyzed results of the rounding guidance by applying the nutrition management check list at of the Center for Children's Foodservice Management (CCFM). Totally, 271 foodservices for children (65 institutional foodservices, 53 small scale foodservices, 153 family child care homes) were examined to identify the necessity of implementing a nutrition management strategy, and subsequently creating a priority list for nutrition management improvement measures. Of the 13 items examined in the nutrition management check list for children's foodservices from the Ministry of Food and Drug Safety, 8 performed well, with an overall performance rate of 90% or more. Improvement plans were required for items (all belonging to the menu area) such as 'Post menu on noticeboard at children's foodservice' (62.0%), 'Use the menu planned by dietician' (64.9%), 'Use menu suitable for recipients in children's foodservice' (76.8%), and 'Provide menu to parents' (79.0%)'. In the analysis of service size, the performance rate for 'Use menu suitable for recipients in children's foodservice' revealed a substantially lower result (P<0.01) for institutional foodservices (64.6%), as compared to small scale foodservices (71.7%) and family child care homes (83.7%). Since other check list items, did not show much differences by the service size, we ascertained it pointless to establish separate strategies based on different foodservice sizes.

• 한국식생활문화학회지
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• 제26권6호
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• pp.629-640
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• 2011

This research analyzed the naming standard of Korea menu names divided into two groups, main dish and side dish. The research was conducted by contents analysis of selected literature articles and multiple-response cross tabulation analysis. The result demonstrated that the naming standard of Korea food consisted of the main ingredient name - sub ingredient name - main condiment name and main recipe. On the other hand, the menu name that is in native language or has a historical origin is exempt from this classification. Therefore, this study proposes a new standard, 'Hansik Menu Naming', to assist the food service industry and correct the names of unknown foreign dishes.

• 대한산업공학회지
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• 제33권4호
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• pp.402-409
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• 2007

Markov Chains has proven to be effective in predicting human behaviors in the areas of web site assess, multimedia educational system, and driving environment. In order to extend an application area of predicting human behaviors using Markov Chains, this study was conducted to investigate whether Markov Chains could be used to predict human behavior in selecting mobile phone menu item. Compared to the aforementioned application areas, this study has different aspects in using Markov Chains : m-order 1-step Markov Model and the concept of Power Law of Learning. The results showed that human behaviors in predicting mobile phone menu selection were well fitted into with m-order 1-step Markov Model and Power Law of Learning in allocating history path vector weights. In other words, prediction of mobile phone menu selection with Markov Chains was capable of user's actual menu selection.