• International Journal of Internet, Broadcasting and Communication
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• 제15권2호
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• pp.102-111
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• 2023

We would like to find out how restaurant start-up education affects restaurant start-ups. Recently, as low barriers to entry and endemics are approaching, more and more people want to start a restaurant business. However, while the market size of restaurant start-ups increases due to the high youth unemployment rate and changes in the social population structure, the probability of failure of start-ups is increasing due to the high competition rate. Therefore, this study aims to examine whether restaurant start-up education affects restaurant start-ups through entrepreneurship. This study conducted a survey on prospective start-ups. After that, demographic analysis and multiple regression analysis were performed using the SPSS 23.0 program. As a result, it was found that entrepreneurship had an effect on restaurant start-ups. However, in future studies, more research is needed on the direction of improving and developing restaurant start-up education.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.52-57
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• 2023

In the restaurant industry, along with the fourth industry, there is a food technology craze due to IT development. In addition, many prospective restaurant founders are increasing due to restaurant start-ups with relatively low entry barriers. And ChatGPT is causing a craze for chatbots. Therefore, the purpose of this paper is to analyze factors for restaurant start-ups with big data and implement a system to make it easier for prospective restaurant start-ups to recommend restaurant start-ups that suit them and further increase the success rate for restaurant start-ups. Therefore, this paper is meaningful in analyzing the start-up factors desired by prospective restaurant founders with big data, turning them into text, and furthermore, designing and studying the start-up factors shown as big data into a restaurant start-up chatbot system.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.163-167
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• 2023

The restaurant industry is an industry with low entry barriers, and furthermore, it is an indispensable industry in life. However, for the restaurant industry, it is necessary to start a business considering many factors. In particular, the comparative group for each restaurant industry is different, and the commercial area analysis should be analyzed differently. Moreover, counseling for restaurant start-ups is still sticking to how to start a restaurant by meeting with each franchise supervisor or counselor. Therefore, a restaurant start-up chatbot is needed for prospective restaurant founders, and a food tech chatbot is needed to collect basic data. Therefore, in this study, factors for restaurant start-ups were divided into youth, preliminary start-ups, menus, taste, and food. In the case of restaurant start-ups with low entry barriers, it was confirmed as the most preferred start-up by young people. However, indiscriminate restaurant start-ups not only increase the closing rate but also have a significant impact on household debt, so accurate consulting should be used to lower the closing rate and increase the success rate. Furthermore, theories and measures for food technologies such as chatbots should be further developed to obtain accurate information on franchise start-ups.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.1-7
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• 2023

Since the first outbreak of COVID-19 in 2019, it has caused a huge blow to the restaurant industry. However, as social distancing was lifted as of April 2022, the restaurant industry gradually recovered, and as a result, interest in restaurant start-ups increased. Therefore, in this paper, big data analysis was conducted by selecting "restaurant start-up" as a key keyword through social media big data analysis using Textom and then conducting word frequency and CONCOR analysis. The collection period of keywords was selected from May 1, 2022 to May 23, 2023, after the lifting of social distancing due to COVID-19, and based on the analysis, the development of a restaurant start-up consulting chatbot service is proposed.

• 한국콘텐츠학회논문지
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• 제19권6호
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• pp.347-358
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• 2019

본 연구는 외식창업교육 체험프로그램 중 창업동아리에서 운영하는 팝업레스토랑에 참여한 조리전공 학생들의 주관적 인식을 파악하고자 Q방법론을 적용하여 분석하였으며, 이들 사이에서 발견되는 공통적인 구조를 도출하여 유형들 간의 특성을 기술하고 분석 한 후 향후 시사점을 제시하였다. 유형분석 결과 총 5가지의 유형이 도출되었다. 제 1유형(N=4) : 학습효과 증대 형 (Increase learning effect type), 제 2유형(N=8): 구성원의 협업 중요 형 (Collaboration of members importance type), 제 3유형(N=6): 마케팅 홍보 필요 형 (Marketing PR Needed type), 제 4유형(N=4): 외식창업 계획 형(Restaurant business plan type), 제 5유형(N=3): 산업체 실무 경력 필요 형 (Industry work experience required type)으로 명명 하였으며, 각각의 유형마다 다양한 특징이 있는 것으로 분석되었다. 본 연구는 향후 관련 유사연구에서 외식창업교육 체험 프로그램을 경험한 학생들 간의 차이분석, 학년별 측정 시기의 다양화를 통해 진행 될 수 있는 다른 유형의 연구를 위한 기초자료로 사용 될 수 있을 것이다.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.332-341
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• 2023

Notable trends in the restaurant start-up market after the lifting of social distancing include increasing interest in start-ups, emphasizing the importance of food quality and diversity, decreasing the relative importance of delivery services, and increasing interest in certain industries. The data collection period is three years from April 2021 to May 2023, including before and after social distancing, and texts extracted from blogs, news, cafes, web documents, and intellectuals provided by Naver, Daum, and Google were collected. For the collected data, the top 30 words were derived through a refining process. In addition, based on April 2021, the application period of social distancing, data from April 2021 to April 2022, and data from May 2022 to May 2023, Through these changes in trends, founders can capture new opportunities in the market and develop start-up strategies. In conclusion, this paper provides important insights for founders in accurately understanding the changes in food service start-up trends and in developing strategies appropriate to the current market situation.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.68-74
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• 2023

The food industry has been hit hard since the first outbreak of COVID-19 in 2019. However, as of April 2022, social distancing has been resolved and the restaurant industry has gradually recovered, interest in restaurant start-ups is increasing. Therefore, in this paper, 'restaurant start-up' was cited as a key keyword through social media big data analysis using TexTom, and word frequency and cone analysis were conducted for big data analysis. The keyword collection period was selected from May 1, 2022, when social distancing due to COVID-19 was lifted, to May 23, 2023, and based on this, a plan to develop chatbot services for restaurant start-ups was proposed. This paper was prepared in consideration of what to consider when starting a restaurant and a chatbot service that allows prospective restaurant founders to receive information more conveniently. Based on these analysis results, we expected to contribute to the process of developing chatbots for prospective restaurant founders in the future

• 아태비즈니스연구
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• 제9권3호
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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.

• International journal of advanced smart convergence
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• 제12권4호
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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.

• 한국콘텐츠학회논문지
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• 제20권7호
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• pp.576-584
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• 2020

본 연구는 외식 소비자의 스페인 레스토랑 인식에 대하여 심층적이고 본질적인 의미에 접근할 수 있는 질적 분석방법의 하나가 되는 Q연구방법을 활용하며 연구하였다. 연구의 목적은 외식 소비자들의 스페인 레스토랑 인식을 유형별로 분류해서 변수 간의 특성을 알아보며, 향후 개선 방향을 제시하는데 있다. 스페인 레스토랑에 대한 외식소비자들의 주관적 인식을 분석하고자 Q-방법론을 이용하여 탐색적 연구를 진행하였다. 이를 위해 긍정과 부정의 진술문 카드를 작성하여 P샘플을 선정하고 분류작업을 거치는 Q-sort를 PC QUANL프로그램을 이용하고 Q요인 분석을 통하여 분석하였다. 분석결과 2가지의 유형으로 분류되었다. 제 1유형(N=10): 스페인 레스토랑 선호형이며, 제2유형(N=7): 스페인 레스토랑의 전문성 추구형으로 요인 명을 설정하였다. 각 유형마다 서로 다른 특징이 있는 것으로 나타났다. 이러한 분석을 통하여 검출된 각각 요인의 주관적인 인식은 다음의 다양한 연구에 기초 자료로 할용 할 수 있다.