
This study is designed to analyze the factors affecting foodservice businesses’ management performances, using the survey data of the ‘2015 Status of Foodservice Business Management’ conducted with all regions and business types by the Korea Agro-Fisheries & Food Trade Corporation and Korea Foodservice Industry Association. The Ordinary Least Square (OLS) and the quantile regression method are applied to analyze the factors affecting the sales per seat used to indicate foodservice businesses’ management performances. The results demonstrate that location in a special/metropolitan city, governmental authorization, educational background, and SNS promotion contribute to the advancement of management performance.
quantile regression, restaurant industry, management performance, Industrial Organization
quantile regression, restaurant industry, management performance, Industrial Organization
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