• Title/Summary/Keyword: Restaurant web sites

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A study on the Effectiveness of Web sites of Food Services in Korea (국내 외식업체의 웹사이트 효율성에 관한 연구)

  • 강경재
    • Culinary science and hospitality research
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    • v.6 no.1
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    • pp.123-149
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    • 2000
  • As a result of their web sites about 25 food services, it shows that only 20% of food services are conducting transactions online. As a whole food services in general have mastered the basics of setting up a web site, and it is revealed that some web sites with high average score are using flash s/w, which has a considerable interest in graphic. Family restaurant is the highest in average score and icecream is the lowest. The best individual site is Tonyromas site of Family restaurant sector, the second best site is TGI Friday's of the same Family restaurant sector, the third Pizzahut of pizza sector, and the fourth Lotteria site of Fast food sector. It is suggest that this preliminary study could be advanced by extending the sample size and a program of more extensive statistical analysis by devising. Also it is shows that it is possible for B2B transaction and B2C transaction to be conducted more actively It is suggested that Pizza(60%) and Icecream(40%) of food products which are small in size and easy to be ordered and delivered can be feasible and successful in transactions online. In conclusion, it is very important to keep the contents of web sites up-to-date and attractive to customers, and to establish several ways which can enable customers to interact with food services to induce a dialogue with customers, and it is necessary to introduce new technologies for specific differences of their own sites.

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Rating Individual Food Items of Restaurant Menu based on Online Customer Reviews using Text Mining Technique (신뢰성있는 온라인 고객 리뷰 텍스트 마이닝 기반 식당 개별 음식 아이템 평가)

  • Syed, Muzamil Hussain;Chung, Sun-Tae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.05a
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    • pp.389-392
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    • 2020
  • The growth in social media, blogs and restaurant listing directories have led to increasing customer reviews about restaurants, their quality of food items and services available on the internet. These user reviews offer a massive amount of valuable information that can be used for various decision-making purposes. Currently, most food recommendation sites provide recommendation scores about restaurants rather than food items of the restaurant and the provided recommendation scores may be biased since they are calculated only from user reviews listed only in their sites. Usually, people wants a reliable recommendation about foods, not restaurant. In this paper, we present a reliable Korean food items rating method; we first extract food items by applying NER technique to restaurant reviews collected from many Korean restaurant recommendation web sites, blogs and web data. Then, we apply lexicon-based sentiment analysis on collected user reviews and predict people's opinions as sentiment polarity scores (+1 for positive; -1 for negative; 0 for neutral). Finally, by taking average of all calculated polarity scores about a food item, we obtain a rating to individual menu items of the restaurant. The proposed food item rating is more reliable since it does not depend on reviews of only one site.

Services Innovation Using Web Technology: A Case of Consumer Adoption of Family Restaurant Web Sites (웹 기술을 활용한 서비스 혁신: 패밀리 레스토랑 웹사이트 소비자 수용 사례)

  • Lim, Se-Hun;Kim, Dae-Kil;Whang, Jae-Hoon
    • Journal of Korea Society of Industrial Information Systems
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    • v.16 no.5
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    • pp.137-149
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    • 2011
  • Today, a web site is used as a strategic method to fulfill a company's objectives. In particular, a web site provides a service for customers to find satisfaction in visiting family restaurants, and it recently has helped to attract the interest of a variety of customers. Currently, companies that manage family restaurants operate their Web sites as strategic tools and use them to perform public relations and marketing of their restaurants. This effort influences management and helps to improve the business and profitability of family restaurants. The research model of this study is an expansion of the Technology Acceptance Model (TAM) and examines whether ease of use and usefulness of family restaurant web sites influence the relationship of intention to use, actual use, and recommendation to use by gender. The results of this research would suggest that web sites are useful in establishing a marketing strategy for companies that operate family restaurants.

Family Restaurant Customers' Attitude toward Yield Management Strategies (패밀리 레스토랑의 Yield Management 전략에 대한 고객의 태도)

  • Park, Hee-Kyung;Sohn, De-Hyun
    • Journal of the Korean Society of Food Culture
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    • v.20 no.2
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    • pp.243-252
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    • 2005
  • This study identified how family restaurant customers' attitude toward yield management strategies, which include reservation, time, menu, and service factors. Generally, yield management explains how price and dining duration maximize the revenue of family restaurants. There are three ways to improve family restaurant yield; improving table turns, upgrading seat occupancy, increasing price per customer. The 45 items of yield management strategies are developed by literature reviews, web sites analysis, and interviews with family restaurant employers. Factor analysis and reliability analysis from present study found out 11 important factors, which represent the study's dependent variables. Regression analysis may be helpful to test whether demographic and socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies. As a regression result, gender, family size, age in demographic factors and education and occupation in socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies significantly.

A Study on the Influence of Consumers Functional Recognition on Their Switching Behaviors, using Food Providers' Web Sites (외식기업 온라인 웹사이트를 이용하는 소비자들의 기능별 지각 수준이 전환 행동에 미치는 영향)

  • Choi, Eun-Joo
    • Culinary science and hospitality research
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    • v.16 no.2
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    • pp.31-48
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    • 2010
  • The purpose of this study was to examine the influence of food service web site users' functional recognition extent on switching behaviors. For this, a survey of web site users was carried out. As for analytic methods, frequency analysis was used to examine respondents' demographic features. In addition, simple regression analysis and multiple regression analysis were carried out used to look into the influence of functional recognition of food providers' web sites on switching behaviors. Study findings are as follows: all the functional variables such as entertainment, advertisement & public relations, communication and purchase decision-making function have significant influence on users' switching behaviors. When users' recognition extent of food providers' online web sites is high, their switching behavior is also high. In particular, the following clause have the greatest influence upon users' switching behaviors pattern. In the function of entertainment, (1) it is easy to search on web site; in the advertisement function, (2) the image of restaurant can easily be recognize; In the communication function, (3) the image of new products can be seen with ease; and in the purchase decision-making function, (4) web sites are easily accessible.

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Comparative Analysis of the Status of Restaurant Start-ups Before and After the Lifting of Social Distancing Through Big Data Analysis

  • Jong-Hyun Park;Yang-Ja Bae;Jun-Ho Park;Gi-Hwan Ryu
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.353-360
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    • 2023
  • This paper explores notable shifts in the restaurant startup market following the lifting of social distancing measures. Key trends identified include an escalated interest in startups, a heightened focus on the quality and diversity of food, a relative decline in the importance of delivery services, and a growing interest in specific industry sectors. The study's data collection spanned three years, from April 2021 to May 2023, encompassing the period before and after social distancing. Data were sourced from a range of online platforms, including blogs, news sites, cafes, web documents, and intellectual forums, provided by Naver, Daum, and Google. From this collected data, the top 50 words were identified through a refinement process. The analysis was structured around the social distancing application period, comparing data from April 2021 to April 2022 with data from May 2022 to May 2023. These observed trend changes provide founders with valuable insights to seize new market opportunities and formulate effective startup strategies. In summary, We offer crucial insights for founders, enabling them to comprehend the evolving dynamics in food service startups and to adapt their strategies to the current market environment.