• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.398-406
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• 2009

This study intends to provide support for tourism industry to establish marketing strategies for selling the travel products on which it should focus on more by examining the difference on selection of travel product attributes by tourism action. This research utilized cluster analysis and ANOVA. The cluster analysis identified four cluster: logical tourism, weak conspicious tourism, value tourism, conspicuous and value tourism. ANOVA analysis showed that four cluster were different in terms of tourism action such as transportation accommodation facilities, tourist attractions, shopping and meals except for travel service, entertainment.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.12 no.2
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• pp.59-78
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• 2001

The domestic food service industry has established its industrial basis since the overseas brands were introduced and international events were held in Korea. It also has showed a prominent growth rate as consumers began to show more interests in leisure and quality of working life(QWL) At this, the employees, constituting Points of contacts with consumers of the food service industry, have emerged as a Primarily critical concern in order for the food service industry, which can affect people in various ways, to adopt our own food culture and develop its business quality. In the food service industry, as a relatively labour-intensive industry, the manpower service is considered very important. Whether the industry succeeds or not depends on the role of employees as the quality of service of employees can decide the quality of the industry itself. In spite of the importance of employees in the food service industry, not many researches have been Performed on the personnel management of the industry, as Koreans traditionally have hold a prejudiced view on the food service industry and it is only a short time since the food business began to be considered as an industry. This thesis aims at research on the factors affecting job satisfaction of the employees by dealing with the importance and characteristics of the role of employees of the food service industry and theoretical background of the job satisfaction. The presumable factors affecting the job satisfaction are divided into several groups ; characteristics of organization, working condition, human relationship, psychological factors, and its reputation in the labour market. Hypotheses and models, where those factors affect the employees, are formed. Statistical methods such as correlation analysis and multiple regression are used in order to verify those hypotheses. Alternatives to improve job satisfaction of employees are suggested based on the analysis. It is expected that there will be more active researches on employees of the food service industry, as this thesis has selected employees of the food service industry as its subjects while subjects of similar researches have been mainly hotel employees so far.

• International journal of advanced smart convergence
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• v.12 no.3
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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

• The Journal of the Korean dental association
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• v.49 no.9
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• pp.511-518
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• 2011

Policy of for-profit hospitals permission has provoked debate on how to enhance health care system and medical service industry. The government says that for-profit hospitals could help improve the quality of medical care and develop medical tourism. On the other hand, Medical care related NGO insist that for-profit hospitals will not fix the existing medical problems in Korea, only create new ones. Recently, a type of for-profit hospitals emerged in dentistry and caused much trouble. Accordingly, We try to carefully look at for-profit hospitals related policy and debate.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.279-285
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• 2017

This study was conducted based on the evaluation items of the Ministry of Culture, Sports and Tourism as an index. Based on the previous researches of various researchers, hypotheses were set up to survey the visitors who participated in the bamboo festival. As a result of the study, three factors of the festival service quality factors (hardware, promotion, guidance, and program) were studied through factor analysis. As a result of the study, it was confirmed that PR and. Also, the event program had a significant effect on the revisit inquiry of the festival at .446. The effect of festival satisfaction on repeat visits and recommendation results. Beta (${\beta}$) values were found to be correlated with return visit (.584) and recommendation (.651). We will present the factors that need to be maintained through the World Bamboo Expo and the Festival of Damyang, identify the visitors' needs to visit again, and suggest some suggestions for Daelim's tourism industry, the fourth industry and eco-industry.

• Information Systems Review
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• v.21 no.2
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• pp.1-27
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• 2019

It is possible to provide Smart Tourism Service through the development of information technology. It is necessary for the tourism industry to understand and utilize Big Data that has tourists' consumption patterns and service usage patterns in order to continuously create a new business model by converging with other industries. This study suggests to activate Jeju Smart Tourism by analyzing Big Data based on credit card usage records and location of tourists in Jeju. The results of the study show that First, the percentage of Chinese tourists visiting Jeju has decreased because of the effect of THAAD. Second, Consumption pattern of Chinese tourists is mostly occurring in the northern areas where airports and duty-free shops are located, while one in other regions is very low. The regional economy of Jeju City and Seogwipo City shows a overall stagnation, without changes in policy, existing consumption trends and growth rates will continue in line with regional characteristics. Third, we need a policy that young people flow into by building Jeju Multi-complex Mall where they can eat, drink, and go shopping at once because the number of young tourists and the price they spend are increasing. Furthermore, it is necessary to provide services for life-support related to weather, shopping, traffic, and facilities etc. through analyzing Wi-Fi usage location. Based on the results, we suggests the marketing strategies and public policies for understanding Jeju tourists' patterns and stimulating Jeju tourism industry.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.13-26
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• 2021

The purpose of this study is to understand the relationship between the subfactors(economic benefits, customized benefits, psychological benefits) of tourism SNS benefits and the intention to reuse tourism SNS values, and propose measures to revitalize the tourism industry through marketing strategies that can continuously provide differentiated services from customers through long-term relationship formation, increase profits, maintain and secure customers. This study conducted an empirical analysis of 326 people aged 19 or older. The results of the study are as follows. First, in the relationship between tourism SNS benefits(Economic benefits, customized benefits, psychological benefits) and tourism SNS values(economic value, functional value, emotional value), it was confirmed that tourism SNS benefits have a positive impact on all of the tourism SNS values. Second, in the relationship between the sub-factors of tourism SNS values and the intention of reuse, it was analyzed that all sub-factors of SNS values have a positive effect on the intention of reuse. Based on result of this study, developing contents such as mobility apps to strengthen long-term relationships with customers to maximize the value of tourism SNS and tourism SNS will improve the reuse of tourism service.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.4
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• pp.606-618
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• 2010

The study investigated how 'word of mouth' originates in the chain restaurant industry. It has long been acknowledged that 'word of mouth' is a critical factor for the success of a restaurant business due to its targetability and cost effectiveness. A review of the literature revealed four antecedents of 'word of mouth': service quality, perceived value, satisfaction, and relationship quality. Based on the theoretical/empirical relationships between those constructs, a structural model composed of the hypotheses was proposed. The structural model was tested with data collected from 471 chain restaurant patrons. The structural equation modeling analysis revealed that five constructs in the proposed model are interrelated, and during this process, word of mouth is formed in the chain restaurant industry. A positive relationship between service quality and satisfaction (0.265, p<0.05), service quality and perceived value (0.831, p<0.05), service quality and relationship quality (0.465, p< 0.05), and service quality and WOM (0.263, p< 0.05) were found, indicating that service quality is a key prerequisite for word of mouth and other constructs proposed in the model. It was revealed that perceived value doe not have a direct impact on WOM formation (t=1.275, p=0.202), but a positive relationship between perceived value and satisfaction (0.293, p<0.05) and between satisfaction and WOM (0.627, p< 0.05) were found. Therefore, it was concluded that patrons' perceived value influences word of mouth formation, but that impact is mediated by satisfaction. During this process, relationship quality also plays a mediating role in generating word of mouth. Based on data analysis, theoretical/managerial implications are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2442-2449
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• 2015

The purpose of this paper is to examine the effects of Human Resources Development by type and strategy, and to review the importance of Human resources Development in the knowledge-based society in a comprehensive way. In particular, the paper reviews the tourism industry, one of the typical service industry, for which the utilization of the Human Resources is crucial. and it presents a specific direction policy of Human Resources Development in the field. An analysis was performed for each area of Human Resources Development inputs and output factors which lead to achieve the purpose of the study was to review the characteristics of the Human Resources Development area. After reviewing, the tourism industry was differentiated according to type of strategy development areas through a statistical approach to the input and output elements around. In this study, along with the estabilishment of a Human Resources development strategy bases on the nature and purpose of differentiation with future Human resource Development in each region showed that the operations of the business need.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.197-215
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• 2021

This paper analyzes the machine learning predictions of the economic effects of Busan's strategic industries on the employment and income using the Ridge Regression and Lasso Regression models with regulation terms. According to the Ridge estimation and Lasso estimation models of employment, the intelligence information service industry such as the service platform, contents, and smart finance industries and the global tourism industry such as MICE and specialized tourism are predicted to influence on the employment in order. However, the Ridge and Lasso regression model show that the future transportation machine industry does not significantly increase the employment and income since it is the primitive investment industry. The Ridge estimation models of the income show that the intelligence information service industry and global tourism industry are also predicted to influence on the income in order. According to the Lasso estimation models of income, four strategic industries such as the life care, smart maritime, the intelligence machine, and clean tech industry do not influence the income. Furthermore, the future transportation machine industry may influence the income negatively since it is the primitive investment industry. Thus, we have to select the appropriate economic objectives and priorities of industrial policies.