• Asian Journal of Business Environment
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• v.14 no.3
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• pp.13-21
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• 2024

Purpose: This study explores the potential use of food e-labels for restaurants to solve the current inadequacies in food labeling within the restaurant sector. Additionally, the study examines the feasibility and scalability of implementing e-labels for food labeling purposes, investigates consumers' perceptions of e-labels for restaurant offerings, and assesses the value of implementing e-labels. Research design, data and methodology: The value of food e-labels was estimated using the contingent valuation method. Samples were selected from the survey, considering the distribution of population, using stratified sampling method. In the survey, respondents were provided with information explaining the food e-label and were asked whether they would accept the proposed amount for food e-labeling. Results: Estimation results revealed that the individual demographic factors of the respondents significantly influenced their willingness to pay (WTP), along with their food purchasing behavior and the degree of food labeling checking. Based on the estimated results, WTP was calculated to be 2,624 KRW. Conclusions: The study findings can serve as a reference for related businesses and policies, suggesting the need for further research and detailed discussions. To activate food e-labeling, promotion and education are essential complements to mere regulatory implementation.

• Journal of the Korean Society of Food Culture
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• v.21 no.5
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• pp.524-535
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• 2006

The purpose of this study was to identify the differences of cognitive responses, emotional responses, customer satisfaction, and service loyalty about service encounter quality by types of restaurants and to analyse emotional responses, customer satisfaction, and service loyalty in accordance with level of service encounter quality. The questionnaire were collected from customers (N=812) who had used restaurants in Seoul, aiming at 15 or more-year-old customers from October 24, 2005 to November 6, 2005. The main results of this study were as follows: Statistically significant difference was showed in importance and performance of interaction quality, importance and performance of physical environment quality, performance of outcome quality depending on types of restaurants, while significant difference was not indicated in importance of outcome quality by types of restaurants. Positive emotional response was significantly high by types of restaurants in order of fine-dining restaurants, family restaurants, and fast-food restaurants, while negative emotional responses were significantly higher in fast-food restaurants than in the other two types. As far as Customer satisfaction are concerned, fine-dining restaurants showed higher customer satisfaction than the other two types. Attitudinal service loyalty was high in fine-dining restaurants, family restaurants and fast-food restaurants in order and behavioral loyalty was not significantly different with each type of restaurant. In accordance with level of service encounter quality, cluster analysis was conducted and the clusters were divided into 'high-valuation' and 'low-valuation'. 'High-valuation cluster' and 'low-valuation cluster' showed significant difference depending on types of restaurants that customers used(p<.001). The customers who used fine-dining restaurants and family restaurants valued the performance of service encounter highly. However, in fast-food restaurants, a lot of low-valuation customers existed. Therefore, fast-food restaurants have to improve performance of interaction quality, outcome quality and physical environment quality in service encounter. In addition, in 'high-valuation cluster' who valued service encounter quality highly showed higher scores in positive responses, customer satisfaction, service loyalty than in 'low-valuation cluster', and showed low negative responses.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.166-178
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• 2009

The purpose of this study was to understand the influence of corporate association in family restaurants upon the customer's service valuation and company evaluation and to empirically analyze whether the service valuation plays a mediating role between the corporate association and the company evaluation. Self-administered questionnaires were completed by 301 customers and the data were analysed by frequency, factor analysis, reliability analysis, correlation analysis and multiple regression analysis. The primary results are as follows. Multiple regression analysis, to verify the hypothesis, showed that corporate association(corporate competence association $\beta$=0.636; corporate social responsibility association $\beta$=0.091) in family restaurants had positively significant influence upon service valuation, and service valuation($\beta$=0.567) had positively significant influence on company evaluation. As a result of analyzing the mediating effects, the direct effects(corporate competence association $\beta$=0.166; corporate social responsibility association $\beta$=0.123) of the corporate association in family restaurants upon customer's corporate evaluation were indicated to be smaller than the total effects(corporate competence association $\beta$=0.430; corporate social responsibility association $\beta$=0.161). Accordingly, the partial mediating effect was surveyed to exist that has influence upon company evaluation through service evaluation without explaining 100% directly in evaluation on corporate association.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.5
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• pp.1-11
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• 2024

Online reviews play a crucial role in assessing a company's market value and are a significant factor influencing profitability. As such, sentiment analysis of online reviews has emerged as a key indicator for predicting business success. This study focuses on restaurant reviews from Yelp, one of the leading online review platforms, utilizing the Yelp Open Dataset. Six machine learning algorithms were applied to predict the sentiment polarity of these reviews: Logistic Regression, Support Vector Machine (SVM), Random Forest, Gradient Boosting Machine (GBM), XGBoost, and LightGBM. Performance evaluations demonstrated that Logistic Regression, SVM, and LightGBM achieved the highest accuracy, with a score of 0.91. The primary contribution of this study is its ability to transform unstructured review text into quantifiable data, enabling businesses, especially startups, to effectively analyze customer feedback and predict ratings. These insights are expected to assist business owners in forecasting consumer behavior and developing strategic marketing approaches.

• Journal of the East Asian Society of Dietary Life
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• v.26 no.4
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• pp.346-358
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• 2016

Local food reflects the identity and image of a specific region. It is also a core element for determining tourists' experience of a region. The purpose of the present study was to develop a Jeju food tour package using local foods and estimate the economic value of the suggested tour package using Contingent Valuation Method (CVM). Five food tour packages were developed by researchers. In order to modify and measure the value of each package, an expert panel survey was conducted, and 'package 5' was selected as a food tour scenario for the tourist survey. A survey was conducted on 295 domestic tourists who visited Jeju within the past 10 years in order to evaluate the economic value and feasibility of the Jeju food tour package. A total fo 72.9% of respondents answered that they were willing to pay for the Jeju local food tour, and the willingness to pay (WTP) range was between ￦45,000 and ￦105,000. The primary factors correlated with WTP was food expenses, followed by leisure experience expenses, interest in local foods, education level, visit frequency and age. The WTP of the Jeju local food tour was calculated with the significantly affected factors using stepwise regression model. The result of the present study reveal that tourists' WTP increased with higher food expenses, education level, and age group. The average value of food expenses, education level, and age were substituted into the formula derived from the regression analysis, yielding 58,385.752 KRW as the WTP. The expected economic value created by exploiting the Jeju local food tour was shown to be 700 billion KRW per year, calculated by multiplying WTP of the food tour packages by the number of tourists. This study examined the feasibility and plan of the food tour package to increase the economic value of Jeju local food. In the case of the culinary tour program based on Jeju local food launching, the estimated economic effect was great. Therefore, in-depth research to merchandise the Jeju local food tour program is needed.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.112-127
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• 2009

In 2007, due to the outcome of the Korea-U.S. FTA negotiations, the opportunities for American beef greatly increased and a serious change in the domestic dining market is expected. The market currently faces issues such as the settlement of the beef origin declaration policy and the fulfillment of customer needs on domestic and imported beef. The following are the summary of the results of the aforementioned research and analysis. First, the consumer awareness level of origin declarations was comparatively low. Second, the reason behind the propensity for imported beef was the comparatively cheaper price despite the lower taste quality, and it was determined that there is a high level of distrust on domestic beef sold in general restaurants. Third, domestic beef showed a high valuation in taste, safety and freshness, while imported beef showed results which were below average. Concluding from the above research results, a dining environment should be created where consumers can trust what they eat through settlement of an origin declaration policy, and more efforts should be put into fulfilling consumer needs for both domestic and imported beef.