• Journal of the Korean Dietetic Association
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• v.13 no.3
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• pp.277-294
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• 2007

The purposes of this study were to a) examine using status, b) measure the service quality attributes, c) analyze IPA and customer satisfaction, d) develop the LSM(Local Store Marketing) by location of K theme restaurant such as residential type(A), complex type(B) and downtown type(C). The questionnaires were handed out to 346 of 450(usage rate 76.9%). The statistical data analysis was completed using SPSS(ver 12.0) for descriptive analysis, $X^2$, t-test, ANOVA, reliability analysis, factor analysis, multiple linear regression. From an analysis on service quality attributes, most importance of service quality attributes was more highly perceived than performance of those, except for 'attractive exterior', 'variety of kid's menu', 'convenient facilities for kid' and perceived importance and performance were also significantly different by location of branch restaurant. The attributes to be improved were 'convenience of restaurant's parking lot', 'food tast', 'speedy service' and 'service competency' as branch A(residential type) restaurant, 'convenience of the restaurant location' as branch B(complex type) restaurant and 'convenience of the restaurant location' and 'speedy service' as branch C(downtown type) through IPA analysis. The Overall customer satisfaction was 3.74 and service quality factors had significant effect on overall customer satisfaction. Location of restaurant, which gives a great effect on its operation and marketing, has a important correlation with success or failure of restaurant business enterprises. Therefore, marketing strategy by restaurant location should be developed.

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.11-24
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• 2018

We develop the success factors model including research hypotheses in the restaurant service industry. The research model in this study was tested on survey data collected from 282 restaurant owners. In this study, we tried to identify the success factors of the restaurant service industry and analyze the relationship between those success factors and business performance. Especially, we analyzed the impact of success factors on business performance being moderated by the restaurant type and location. Through the analysis of the research model, it is shown that operation management and customer relationship management and so on play an important role in the improvement of business performance. In addition, we found that the impact of the success factors on business performance is moderated by the restaurant type and location. A limitation of our study is the sampling. Franchise restaurants will need to be included in future studies. We expect that our research will help start-up restaurant managers to get useful insights to better manage their own businesses. Although the study on the success factors of the restaurant service industry is very important, there are few researches on that in Korea. Therefore, this study can give new insights on how the restaurant owners do business in the restaurant service industry.

• Korea Real Estate Review
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• v.28 no.4
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• pp.37-51
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• 2018

The purpose of this paper is to analyze the effects of location factors on sales by restaurant type in the six districts of Seoul (Jongno-gu, Jung-gu, Yeongdeungpo-gu, Gangnam-gu, Seocho-gu, and Songpa-gu). Ordinary least squares (OLS) regression model is selected for four restaurant types whose spatial autocorrelation is not identified, spatial lag model (SLM) is only selected for seafood restaurant, and spatial error model (SEM) is selected for nine other restaurant types. The floating population and the workers of surrounding businesses have generally positive effects on the sales of restaurants. The floating population elasticity of the sales of restaurants are found to be in the descending order of Oriental food, pub, Western food, and traditional food restaurant, and the elasticity of the workers of surrounding businesses are in the descending order of bakery, Oriental food, and Western food restaurant. The spatial multiplier effects are in the descending order of Oriental food, pub, and Western food restaurant. There is a statistically significant sales gap between roast meat, pub, and bakery in Gangnam-gu and those in five other districts. The results of this research can help in starting a restaurant in that they can provide information on the suitability of location by restaurant type.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.05a
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• pp.241-242
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• 2005

Due to the change in modern lifestyle and social pattern, food service industry has steadily grown recently. Especially, in terms of familiarity, chinese restaurant can be most popular type of dining alternative to Korean. The project was aiming to establish a new branch of the existing restaurant which has a main location in Kangnam area and has been famous for it's food quality, kind services and good interior design. This restaurant is located in Seohyoun-Dong, Bundang-Gu, Kyoungki-Do and this area is very crowded by both residential apartments and commercial offices. Considering the complexity in regional characteristics, this restaurant has basically targeted frequent dining-out family groups. In addition, the floor design was flexibly developed to be able to accomodate large office dining customers. The overall design was intended to keep very elegant and simple atmosphere, developed to express eco-friendly image by adopting the 'Water' component in the floor plan.

• Journal of Korea Planning Association
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• v.54 no.5
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• pp.76-90
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• 2019

The purpose of this study is to analyze the survival characteristics of the restaurant business by trade area type (major and side street). By the increase of the unemployment rate, the new foundation of selt-employment type is increasing. However, due to high competition and economic recession, the sustainability of new foundation is not high. Therefore, in this study, survival analysis was performed considering the individual and commercial characteristics focused on the ordinary restaurants. The major findings are as follow. First, the characteristics of parcel unit and adjacent area have a significant effect on the survival. This means the micro-scopic spatial characteristics should be considered for survival in the location choice. Second, the regional economic characteristics in trade area have a significant effect on survival. Furthermore, these characteristics are different by the trade area type. Third. the development characteristics have a different effect on survival by the building usage and trade area type. Finally, regional economic characteristics have a significant effect on survival. These results are expected to be used as basic data for commercial location selection and trade area analysis system in the private and public sectors.

• Journal of Distribution Science
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• v.22 no.4
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• pp.11-22
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• 2024

Purpose: This research delves into the various factors that influence the performance of restaurant businesses on social commerce platforms in Bangkok, Thailand. The study considers both internal and external factors, including but not limited to business characteristics and location. Moreover, this research also analyzes the effects of employing multiple social commerce platforms on business efficiency and explores the underlying reasons for such effects. Research design, data, and methodology: Restaurants can be classified into different price ranges: low, medium, and high. To further investigate, we employed natural language processing AI to analyze online reviews and evaluate algorithm performance using machine learning techniques. We aimed to develop a model to gauge customer satisfaction with restaurants across different price categories effectively. Results: According to the research findings, several factors significantly impact restaurant groups in the low and mid-price ranges. Among these factors are population density and the number of seats at the restaurant. On the other hand, in the mid-and high-price ranges, the price levels of the food and drinks offered by the restaurant play a crucial role in determining customer satisfaction. Furthermore, the correlation between different social commerce platforms can significantly affect the business performance of high-price range restaurant groups. Finally, the level of online review sentiment has been found to influence customer decision-making across all restaurant types significantly. Conclusions: The study emphasizes that restaurants' characteristics based on their price level differ significantly, and social commerce platforms have the potential to affect one another. It is worth noting that the sentiment expressed in online reviews has a more significant impact on customer decision-making than any other factor, regardless of the type of restaurant in question.

• Korean journal of food and cookery science
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• v.19 no.3
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• pp.308-317
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• 2003

The purpose of this study was to identify combinations of factors, with regard to the use of restaurants by tourists, and to establish the relative importance of these factors in terms of their contribution to the total usage. Of 250 questionnaires, 209 were utilized for analysis in this study. Crosstabs, conjoint analysis, paired-samples t-test, k-means cluster analysis, one-way ANOVA analysis, and the Friedman test were used for the statistical analysis. The findings from this study were as follows: First, the Pearson's R and Kendall's tau statistics show that the model fits the data well. Second, it was found that 209 tourists most preferred restaurants that provided excellent quality traditional food, with a high quality of service, at a cheap price for the suburb. The 81 tourists of the first cluster most preferred restaurant that provided excellent quality fusion food, at a cheap price for the suburb. The 65 tourists of tile second cluster most preferred restaurant that provided average quality national food, at an expensive price for the suburb. The 63 tourists of the third cluster most preferred restaurant that provided excellent quality traditional food, at a reasonable price for the suburb. Third, it wis found that all tourists and the three clusters groups regarded both the type of food and its price to be very important factors. Finally, the results used in this study have provided some insight into the types of marketing strategies and tourism policies that may be successfully used by the operators and policymakers managing a location, the quality, price and type of food, and quality of service required by tourists dining at restaurants.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.263-270
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• 2020

The growth of the mobile app markets has made it popular among people who recommend relevant information about restaurants. The recommendation service app based on AI Chatbot is that it can efficiently manage time and finances by making it easy for restaurant consumers to easily access the information they want anytime, anywhere. Eating out consumers use smartphone applications for finding restaurants, making reservations, and getting reviews and how to use them. In addition, social attention has recently been focused on the research of AI chatbot. The Chatbot is combined with the mobile messenger platform and enabling various services due to the text-type interactive service. It also helps users to find the services and data that they need information tersely. Applying this to restaurant recommendation services will increase the reliability of the information in providing personal information. In this paper, an artificial intelligence chatbot-based smartphone restaurant recommendation app using personalization information is proposed. The recommendation service app utilizes personalization information such as gender, age, interests, occupation, search records, visit records, wish lists, reviews, and real-time location information. Users can get recommendations for restaurants that fir their purpose through chatting using AI chatbot. Furthermore, it is possible to check real-time information about restaurants, make reservations, and write reviews. The proposed app uses a collaborative filtering recommendation system, and users receive information on dining out using artificial intelligence chatbots. Through chatbots, users can receive customized services using personal information while minimizing time and space limitations.

• Journal of the Korean Home Economics Association
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• v.49 no.2
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• pp.13-26
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• 2011

The purpose of this study was to analyze the trend of dietary lifestyle-related research articles during the period from 1990 to 2009. A total of 44 articles were identified and subjected to content analysis. Article content was coded according to subject of study, age of respondents, sample size, type of sample, statistical methods used and location of study. The most important type of content category was the study subject, and this was subdivided into research related to 1) dietary pattern, 2) health, 3) dining spaces, 4) foods, 5) restaurant/institutional foodservices, and 6) beverage-related topics. The most common subject was restaurant/institutional foodservice-related research (59.1% of articles), followed by beverage-related research (20.5%). These two subjects accounted for approximately 80% of all the 44 articles reviewed.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.367-373
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• 2013

Mobile SNS is a new paradigm of the communication. These days, mobile services communicate with server by client applications. TALK or PUSH provide services using TCP/IP software in operation system through massage or data by socket. Thus, SNS and mobile convergence are necessary and new service is constructed using platform of SNS. In this paper, we design and implement TALK and PUSH services between clients by location based SNS using the socket type.