• Culinary science and hospitality research
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• v.18 no.4
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• pp.1-14
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• 2012

The focus of this study is on investigating an appropriate selling strategy for the guests of a fine dining restaurant in deluxe hotels located on seoul. As survey methods, questionnaires were prepared and distributed to the customers who visited the restaurants of five-star hotels in Seoul. The survey was carried out from July 1 to August 30, 2010. Total 223 copies of questionnaire were used for final analysis. Frequency analysis, descriptive statistics, exploration factor analysis, and reliability analysis were conducted through SPSS 18.0 for final analysis, and path analysis was conducted through AMOS 18.0 for verification of hypotheses. The hypothesized relationships among the models were tested simultaneously by using a structure equation model(SEM). The proposed model provided an adequate fit to the date, $X^2$ = 143.934(df=120, p<.001), GFI=0.935. AGFI= 0.907, RMR=0.022, CFI=0.983. The study results are as follows. First, the restaurant employee's adaptive selling strategies consist of persuasion-suggestion, kindness-rapidity. Second, in the result of analysis to understand the influences between customer satisfaction and adaptive selling strategies, customer satisfaction is shown to have an influential relationships with persuasion-suggestion strategy and kindness-rapidity strategy of employee's adaptive selling. Third, all adaptive selling strategies did not affect customer loyalty. Finally, customers who are satisfied with such services have a significant effect on customer loyalty and supports the existing previous studies.

• Journal of the Korean Society of Food Science and Nutrition
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• v.35 no.8
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• pp.1088-1096
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• 2006

The purpose of this study was to identify the service encounter blueprint by types of restaurants in order to manage moment of truth when customers who visit a restaurant encounter services. The service encounter blueprint gives an overall picture of the service provision to visualize an entire service process and its integrated structure. The blueprint is used for service process analysis technique. The random samples of 15 customers were observed by types of restaurants and the records were collected for three-days' observation. Interviews were performed by 3 managers, 3 service encounter employees, 3 cashiers, 3 cooks and 10 customers by types of restaurants. After drawing the first service blueprint, it was revised by the interview with the 3 managers and 6 service encounter employees. In this paper, restaurant service processes are reviewed and analyzed. By use of service blueprint, the processes are analyzed to find a fail point, customer wait, employee decision. As a result of making a blueprint of service encounter by types of restaurant, blueprints of fine-dining restaurants and family restaurants were similar, while fast-food restaurants showed a little difference. In particular, difference was indicated in a point where interaction of service encounter occurred. Difference was indicated depending on types of restaurants. Therefore, the efforts to improve this problem were needed. The blueprint is a map or flowchart (called a process chart in manufacturing) of all transactions constituting the service delivery process. The results showed that service encounter blueprint can be used to improve the service process in the restaurant's encounter.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.23-43
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• 2016

As a result of the growth of Internet data and the rapid development of Internet technology, "big data" analysis has gained prominence as a major approach for evaluating and mining enormous data for various purposes. Especially, in recent years, people tend to share their experiences related to their leisure activities while also reviewing others' inputs concerning their activities. Therefore, by referring to others' leisure activity-related experiences, they are able to gather information that might guarantee them better leisure activities in the future. This phenomenon has appeared throughout many aspects of leisure activities such as movies, traveling, accommodation, and dining. Apart from blogs and social networking sites, many other websites provide a wealth of information related to leisure activities. Most of these websites provide information of each product in various formats depending on different purposes and perspectives. Generally, most of the websites provide the average ratings and detailed reviews of users who actually used products/services, and these ratings and reviews can actually support the decision of potential customers in purchasing the same products/services. However, the existing websites offering information on leisure activities only provide the rating and review based on one stage of a set of evaluation criteria. Therefore, to identify the main issue for each evaluation criterion as well as the characteristics of specific elements comprising each criterion, users have to read a large number of reviews. In particular, as most of the users search for the characteristics of the detailed elements for one or more specific evaluation criteria based on their priorities, they must spend a great deal of time and effort to obtain the desired information by reading more reviews and understanding the contents of such reviews. Although some websites break down the evaluation criteria and direct the user to input their reviews according to different levels of criteria, there exist excessive amounts of input sections that make the whole process inconvenient for the users. Further, problems may arise if a user does not follow the instructions for the input sections or fill in the wrong input sections. Finally, treating the evaluation criteria breakdown as a realistic alternative is difficult, because identifying all the detailed criteria for each evaluation criterion is a challenging task. For example, if a review about a certain hotel has been written, people tend to only write one-stage reviews for various components such as accessibility, rooms, services, or food. These might be the reviews for most frequently asked questions, such as distance between the nearest subway station or condition of the bathroom, but they still lack detailed information for these questions. In addition, in case a breakdown of the evaluation criteria was provided along with various input sections, the user might only fill in the evaluation criterion for accessibility or fill in the wrong information such as information regarding rooms in the evaluation criteria for accessibility. Thus, the reliability of the segmented review will be greatly reduced. In this study, we propose an approach to overcome the limitations of the existing leisure activity information websites, namely, (1) the reliability of reviews for each evaluation criteria and (2) the difficulty of identifying the detailed contents that make up the evaluation criteria. In our proposed methodology, we first identify the review content and construct the lexicon for each evaluation criterion by using the terms that are frequently used for each criterion. Next, the sentences in the review documents containing the terms in the constructed lexicon are decomposed into review units, which are then reconstructed by using the evaluation criteria. Finally, the issues of the constructed review units by evaluation criteria are derived and the summary results are provided. Apart from the derived issues, the review units are also provided. Therefore, this approach aims to help users save on time and effort, because they will only be reading the relevant information they need for each evaluation criterion rather than go through the entire text of review. Our proposed methodology is based on the topic modeling, which is being actively used in text analysis. The review is decomposed into sentence units rather than considering the whole review as a document unit. After being decomposed into individual review units, the review units are reorganized according to each evaluation criterion and then used in the subsequent analysis. This work largely differs from the existing topic modeling-based studies. In this paper, we collected 423 reviews from hotel information websites and decomposed these reviews into 4,860 review units. We then reorganized the review units according to six different evaluation criteria. By applying these review units in our methodology, the analysis results can be introduced, and the utility of proposed methodology can be demonstrated.

• Journal of the Korean Society of Food Culture
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• v.6 no.2
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• pp.185-197
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• 1991

An eating behavior research was done with 50 females at a buffet styled restaurant during their lunch time. Of the respondents, 52.0% were professional and 54.0% were graduate school graduates. Of the respondents, 58.0% of the company were friends and 24.0% were relatives. The average time period of eating was $93.0{\pm}23.4$ minutes. The average frequency of taking food was $4.0{\pm}1.1$ and the average frequency of taking food after satiety was $1.4{\pm}0.8$. It is significant that lower frequency of food consumption was directly proportional to the age groups of respondents. The average selected food items were $30.4{\pm}7.1$ out of 175 and the average weight of the consumed food was $995.0{\pm}240.9$ g. The older age group chose a similar number of food items, but the amount of each food item was considerably less than younger. So the younger the age group was, the more they ate. The average food items at one time was $7.1{\pm}2.2$ and the average food weight time was $233.7{\pm}69.7$ g. The percentage of respondents who evaluated themselves as 'ate too much' was 70.0% and those who evaluate themselves 'ate properly' was 14.0%. Most of them were satisfied with the buffet service. The average of number of food items consumed by respondents before cooking was $50.5{\pm}8.9$. The consumption of calories and nutrients was compared with the Korean Daily Recommended Dietary Allowances. The consumed calories were 60.9% of RDAs, protein 104.4%, calcium 77.1%, iron 129.8%, vitamin A 66.5%, thiamin 96.0%, riboflavin 95.7%, niacin126.6% and ascorbic acid 112.3%. This data exceeded 1/3 of the Korean Daily RDAs tremendously and tells us extreme overeating. The energy ratio of carbohydrate: fat: protein was 51.6: 29.9: 18.5. Caloric consumption of animal food was 27.9% and the consumption rate of the other nutrients from animal food was considerably high. But the consumption rate of vitamin A was 90.9% from vegetable groups. Accoding to this study, buffet service gives some advantages. It gives customers an good opportunity to vary their food intake, which enhances eating experiences and can cause an improvemont of food habits. But overeating is a problem. Therefore, we think it is necessary for those women who have influence over their family's food selection, to have nutrition education about a desirable order of eating a meal, food selection, and health problems due to overeating at buffet styled restaurant. There should be some improvement in the management of buffet service. For example, proper temperature, texture, and freshness of the food should be maintained. Prevention of mixed food smells should be considered as well. To lower the price it is desirable to reduce the number of similar items and to use seasonal food as much as possible. A buffet styled restaurant with less food items with cheaper prices is recommended. Various traditional food should be developed for the menu items. We expect buffet services to be sutable to maintain good health and to be popular to any eater.