Characteristics and Current Status of Well-being Menus Served in Contract-managed Workplace Foodservice

This study was conducted to characterize well-being menus and to examine the service frequency and profitability of those served in the contract-managed workplace foodservice. In-depth interviews were conducted with six persons who were in charge of menu management in the headquarters of six different foodservice management companies during March, 2007. In addition, 122 set menus consisting of 777 menu items, which were on one month menus served during January to April, 2007, were collected from three workplace operations managed by three different foodservice management companies. As a result of the in-depth interviews, four categories of well-being menu items were extracted: 'medicinal, functional menu item', 'environmentally- friendly menu item', 'natural food menu item', and 'harmful components-limiting menu item'. Accordingly, a well-being menu item was defined as 'a menu item with increased nutrition value or decreased health risk by changing food material or cooking method'. When the menu items (n=777) were analyzed by applying the definition and categories, approximately 14% of the items were identified as well-being menu items and most of them were either medicinal, functional (65%) or natural food menu items (33%). Approximately 59% of the 122 set menus included at least one well-being menu item, and therefore they were named the well-being set menus. These well-being set menus, however, were not significantly different from the rest set menus in terms of profitability as measured by the contribution margin. The results of this study could be useful for foodservice management companies to develop and plan well-being menus targeting workplace foodservice operations.

Dietary Pattern by Sex and Age with Menu Analysis Using 1998, 2001 National Health and Nutrition Survey of Korea / 대한지역사회영양학회지

The purpose of this study is to compare menu patterns by sex and age (3-6, 7-12, 13-19, 20-29, 30-49, 50-64, 65 over years old) between the 1998 and 2001 National Health and Nutrition Surveys of Korea. Frequently consumed menu patterns were investigated using the 24-hour recall data for 19,809 subjects (1998:10,102; 2001:9,707). To analyze patterns, dishes were classified into 29 categories by cooking method (KHIDI 2003). The results are as follows: the most frequent menu patterns were "rice + soup + kimchi" and "rice + stew + kimchi" in both men and women in both 1998 and 2001. Intake frequency of these menu patterns, a traditional Korean menu pattern, was higher with increased age. Intake frequency of "noodles" and "bread" increased in 2001 in both men and women, compared to 1998. And these patterns increased in the younger age groups, especially women in their twenties. Menu patterns of 2001 showed greater variety than those of 1998. Overall, the men's menu patterns showed more side dishes than those of women; intake frequencies of "seasoned vegetables", "stir-fried foods", and "grilled foods" were higher in men than in women. In short, so far the main menu pattern has been "rice-style" in both men and women, and in all age groups in Korea, whereas the Western menu pattern is increasing in younger age groups. The diet of 2001 showed more side dishes than that of the 1998 menu pattern; however, certain groups such as female and males in adolescents and young adults were still a simple menu pattern. Consequently, to make recommended menu patterns and nutrition education programs for Koreans should take into consideration sex and age.

Using Activity-Based Cost in Menu Engineering for Restaurant Menu Analysis / 대한지역사회영양학회지

The purposes of this study were to investigate methods of applying activity-based cost to menu engineering and to examine the feasibility. A total of 6 menu items of XYZ restaurant in Seoul were selected and the ledger of September 2005 was used for menu analysis. The menu mix percent of beef sirloin steak (61.95%) and beef tenderloin steak (17.13%) were labeled as high, whereas BBQ pork ribs (4.94%), salmon fillet (2.66%), seafood platter (5.77%), and teriyaki chicken (7.56%) showed low menu mix percent. In addition, the contribution margin for BBQ pork ribs (29,000 won), salmon fillet (25,810 won), seafood platter (22,400 won), and teriyaki chicken (22,000 won) were higher than the average contribution margin (21,957 won), and those for beef sirloin steak (21,200 won) and beef tenderloin steak (21,900 won) were lower than average. When popularity and contribution margin were applied in menu engineering, BBQ pork ribs, salmon fillet, seafood platter and teriyaki chicken were classified as puzzles and beef tenderloin steak and beef sirloin steak as plowhorses. Menu engineering using popularity and operating profit, which was calculated from activity-based cost, also gave the same results, whereas the additional label for activity cost placed BBQ pork ribs and salmon fillet in the brain teaser category. Ranking analysis on variables estimating menu profitability using Spearman's rho revealed that there were no significant correlation between variables, which means the estimation of menu item profitability could differ by methods of analysis. With these results, it was concluded that activity-based cost would help to establish more detailed marketing strategy for a restaurant.

What's the Best Technique on Menu Analysis?

The purposes of this study were to : (a) analyze the menus of food service operations using the menu analysis techniques of Kasavana & Smith, Miller, Merricks & Jones, Pavesic and Uman, (b) closely examine the characteristics of the five analysis techniques. Calculations for the menu analysis were done by computer using the MS 2000 Excel spreadsheet program. Menu mix% and unit contribution margin were used as variables by Kasavana & Smith, sales volume and food cost% by Miller, sales volume and cash contribution by Merrick & Jones, weighted contribution margin and food cost% by Pavesic, and total cash contribution and unit contribution margin by Uman. In each case, a four-cell matrix was created, and menu items were located in each according they achieved high or low scores with respect to two variables. Items that scored favorably on both variables were rated in the top category (e.g., star, prime, signature, group A, winner) and those that scored below average on both were rated in the lowest category (e.g., dog, problem, loser, group D, loser). While the 3 methods of Kasavana & Smith, Miller, Merrick & Jones focus on customers' viewpoints, the others consider the managers' viewpoints. Therefore, it is more likely to be desirable for decision-making on menus if the menu analysis technique chosen is suited to its purpose.

Development and Application of Menu Engineering Technique for University Residence Hall Foodservice / 대한지역사회영양학회지

This article aims to summarize the development and application of menu engineering technique, 'Menu Engineering Modified by Preference (MEMP)'. The site selected for this project was a foodservice operation in Yonsei University residence hall. Sales and food costs data were collected from the daily sales reports for 1 month, and the survey of food preference was conducted during May, 1999. Statistical data analysis was completed using the SAS/Win 6.12 for descriptive analysis. The calculation for menu analysis were carried out with MS 2000 Excel spreadsheet program. This MEMP technique developed had 6 category criteria and 2 dimensions of the contribution margin (CM) and the menu mix modified% (MMM%). The MMM% was calculated by the sales volumes and also weighted by food preference. The CM and MMM% for each item were compared with a mean menu CM as well as a 70% rule. Four possible classifications by MEMP were turned out as 'STAR', 'PLOWHORSE', 'PUZZLE', 'DOG'. 'STAR' items were the most popular and profitable items and required to maintain rigid specifications for quality. The decision actions for 'PLOWHORSE' menu items which were relatively popular, but yield a low menu average CM included combining a plowhorse item with lower cost products and reducing the frequency of serving or serving size. There was a need for 'PUZZLE' items to be changed in the menu combination, improve recipe, and promote menu. The last 'DOG' items were desired to be deleted. This study demonstrates that menu information can be interpreted more easily with MEMP. The use of MEMP is therefore an effective way to improve management decisions about menu of university residence hall foodservice.