• 한국벤처창업학회:학술대회논문집
• /
• 2016.04a
• /
• pp.57-60
• /
• 2016

본 연구에서는 국내 선행연구와 외식사업 창업 성공사례 들을 통해 외식업 창업성공 요인들을 도출하고, 각 요인들이 경영성과에 미치는 영향에 대하여 원주지역의 일반음식점(한식업)을 중심으로 소상공인시장진흥공단의 상권정보시스템에서 분류한 주요상권중 4곳을 선정하여 실증적 연구를 수행할 계획이다. 외식업창업 성공요인은 창업자의 특성요인과 점포의 입지 및 특성이 경영성과에 긍정적 영향을 미치는 지 확인하고, 상권정보시스템의 입지정보가 통계적으로 유의한 지 확인한다. 또한, 세부 성공요인이 경영성과에 미치는 영향은 고객특성 등 상황에 따라 차이가 있는 지도 확인해 본다. 본 연구는 외식업 창업을 준비하는 예비창업자들에게 성공을 위한 지침을 제공하고 창업 전에 반드시 준비해야할 요소를 점검하여 실패를 줄이는데 기여하고, 소상공인시장진흥공단이 제공하는 상권정보시스템을 적극 활용하기를 기대한다.

• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.268-279
• /
• 2019

This study applied the Q methodology to the graduate students of the department of food service management in Seoul to grasp the subjective perception of customers using the big blur phenomenon and the introduction of the kiosk. As a result of the analysis, five types were derived. (N = 6): Fast payment and various order preference types, the second type (N = 6): Earning and discount benefits preference type, the third type (N = 3): Simple order preference type, The fourth type (N = 2): Employee service preference type, and the fifth type (N = 3): Safety payment preference type. In the future, the research on the Big Blur phenomenon of eating out company will be refined through more detailed Q methodological questions with analytical techniques based on extensive literature and empirical studies, and to analyze the various opinions of respondents more concretely and objectively.

• The Journal of the Korea Contents Association
• /
• v.21 no.1
• /
• pp.407-416
• /
• 2021

Recently, as retro restaurants began to appear nationwide, including Seoul, consumers are aware of the importance and use them according to the important factors of Servicescape and the use of SNS. The purpose of this study was to investigate the effect of Retro Restaurant's Servicescape and Customer Satisfaction, and the effect of SNS Trust in their relationship. Convenience sampling was used for customers with experience of using Retro Restaurant, which was recently created mainly in Seoul. The survey period lasted about one month from July 1, 2020, and the final 289 copies were used for analysis. The SPSS 21.0 statistical package program was used to verify the hypothesis. As a result of analysis, among the Servicescape factors of Hypothesis 1, attractiveness (β=.442, p<.001) and human service (β=.516, p<.001) had a significant effect on customer satisfaction. In the moderating effect of Servicescape and SNS Trust of Retro Restaurant in Hypothesis 2, attractiveness⁎SNS trust had a significant positive (+) influence. Accessibility⁎SNS trust had a significant negative (-) influence. Lastly, in the fierce food service industry environment, it aims to achieve a competitive advantage in the food service market through a differentiated servicescape such as Retro Restaurant. Through the SNS marketing strategy, the loyalty and re-visiting of customers visiting the restaurant is checked, and it is intended to be provided as useful data for establishing a customer-oriented marketing strategy.

• Journal of Service Research and Studies
• /
• v.12 no.4
• /
• pp.82-93
• /
• 2022

The food service industry is a major driver of global sustainable food consumption. By understanding food consumption behavior, restaurant managers can forecast demands and reduce pre-consumer food waste. This study investigates the relationship between influencing factors and the number of customers at restaurants and cafés. These factors are weather-related factors, including rain and temperature, and school-related factors, including exams and the day of the week. Based on these four factors, 24 possible combinations were created. Three representtive days were chosen for each weekday combination. Besides, one representative day was chosen for each weekend combination. In total, 48 days were sampled throughout the year. Customer data were collected from six restaurants and cafes on a Korean university campus. Conjoint analysis was used to determine the relative importance of each variable to customer numbers. Following that, utility scores were standardized and mapped to determine the best condition when the number of customers was at its peak. In addition, each store's sales were compared using Pearson's Correlation Coefficient. The findings support that temperature and rain influences are correlated with the number of customers. Furthermore, we discovered that temperature was far more significant than rain in determining the number of customers. The paper discusses the implications of weather to forecast food and beverage demand and predict meal choices.

• Monthly Korean Chicken
• /
• s.141
• /
• pp.65-68
• /
• 2007

• Proceedings of the Culinary Society of Korean Academy Conference
• /
• 2004.11a
• /
• pp.301-316
• /
• 2004

• Proceedings of the Culinary Society of Korean Academy Conference
• /
• 2004.11a
• /
• pp.317-335
• /
• 2004

• Proceedings of the EASDL Conference
• /
• 2003.09a
• /
• pp.71-72
• /
• 2003

• Proceedings of the EASDL Conference
• /
• 2003.09a
• /
• pp.47-60
• /
• 2003

• Journal of Applied Tourism Food and Beverage Management and Research
• /
• v.16 no.1
• /
• pp.113-133
• /
• 2005