• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.407-426
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• 2020

The purpose of this study was to make convergent and combined analysis of the sport industry and exercise rehabilitation in the era of New Normal based on the Fourth Industrial Revolution and devise a comprehensive plan for future activation. For this purpose, literature review was performed mainly by analyzing the environment of the sport industry in the New Normal era based on the Fourth Industrial Revolution and by carrying out convergent and combined analysis of the sport industry to present a convergent and combined activation plan for exercise rehabilitation comprehensively as follows: First, it is necessary to make a strategy of promoting exercise rehabilitation in convergent and combined ways at the sport industry level. This means development of a convergent and combined exercise rehabilitation-tourism-ICT model as well as a convergent and combined exercise rehabilitation-ICT model through collaboration among ministries, including those of health and sports. Second, it is necessary to convert into a convergent and combined way of thinking and extend and reinforce educational competitiveness in the area of exercise rehabilitation. That is, it is necessary to refine the education and training systems for reinforcing personal ICT competence of exercise rehabilitation majors and relevant ones and provide convergent and combined business commencement education. Third, it is necessary to make different types of research and development by applying practical, convergent and combined skills based on the industrial field to exercise rehabilitation and relevant areas. Efforts should be made to overcome any risk in the era of New Normal and support business commencement with convergent and combined skills for exercise rehabilitation. Fourth, it is necessary to make mid- and long-term clusters where exercise rehabilitation and relevant businesses can be accumulated. This means building an industrial hub and complex for exercise rehabilitation and requires making an R&D-based cluster with industrial-academic-governmental collaboration, maximizing the synergy effects with local infrastructures, and fulfilling the function of realizing a spontaneous profit-generating structure.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• Journal of the Korean Institute of Rural Architecture
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• v.4 no.3
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• pp.39-52
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• 2002

Some projects being in force by the Ministry of Government Administration & Home Affairs and the Ministry of Agriculture & Forestry for farm village area activation offers experience activity of various form to city dwellers, and to farm village inhabitants, affirmative effect is expected in aspect that activation becomes possible for a lot of visitors. But, to farm village(rural district) area activation that huge budget and effort carried out successfully, there are some items that specialist, administration and the persons concerned must inspect together now. First, to project for farm village area activation succeeds; leading participation of inhabitants should be premised. Second, that stagnated economy revives is as rightful result that appears in case farm village area activation effort succeeds. But, can drop more highlights like the value pursuit of life in case put success or failure of all businesses in income enlargement. Third, because inhabitant cultivates own in making process, the attachment and pride for area can be inculcated. Doing not become focus is set to economical logic to do, the heritage of area as well as history culture, must consider that apply eco-museum concept that magnify nature heritage and industry heritage. Fourth, actually the plan period given usually is too shortly than received huge budget. Furthermore, in case it carries out by desirable inhabitants leading type so. Project that not consider the period that is cost to the statement of inhabitants' active opinion and finding out a point of compromise may be hard to get desirable result.

• Information Systems Review
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• v.15 no.2
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• pp.111-127
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• 2013

This research introduces a case of NFC (Near Field Communication)-based exhibition support system for analyzing visitors' POB (Point of Behavior) data gathered from the system. The application of NFC technology to an exhibition space allows visitors new experiences of exposition and exhibitors to collect and analyze data about behaviors of visitors. The NFC-based exhibition support system is applied to the 'Korea Travel Expo 2013.' The visitors' behaviors are analyzed based on collected NFC tag touch data and association rules among booths are extracted. Furthermore, the tag touch data are integrated with the survey data for catching the demographics-based implications.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.1-23
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• 2016

This research attempts to analyze the relationship among leadership, LMX and organizational achievements for chefs in the Jeju district. The results of the research revealed that the leadership type only affected the servant leadership of LMX. Furthermore, the job satisfaction for leadership and LMX was influenced by organizational commitment. Therefore, to strengthen the relationship of LMX, the leadership type's servant leadership must be the essential link between the relationship of LMX, and LMX serves as the link between leadership and organizational achievement. Ultimately, to augment the employer-employee relationship, the factors of servant leadership must be applied, for example, by taking good care of the workers, persuasion, attentively listening to the workers, sympathy, and suggestion of vision, as well as the mutual link and respect among the employers and employees, all of which were shown to have positive influences on the organizational achievements.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.247-258
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• 2019

The paper aims to examine the factors affecting brand and student decision in buying fresh milk. Combining qualitative and quantitative research methods, this study used self-completed questionnaires to investigate 520 students in Ho Chi Minh City. The results of the study show that that there are five key determinants affecting the dairy brand and student decision in buying fresh milk, including: (1) product quality, (2) fair price, (3) product promotion and customer services, (4) product convenience, and (5) reference group's attitude to the brand. In addition, it is also found that product brand has a direct and positive impact on the student decision. The finding in this study is quite different from other existing literatures in terms of the importance level of the determinants of the student decision in buying fresh milk; specifically, in deciding to buy their fresh milk, students are often interested in the promotion and customer service, the product convenience, and the reference group for the purchase, more than in the quality and price of the product. From these findings, some managerial implications are proposed for policy-makers and relevant enterprises to have appropriate policies and strategies for their business development.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.313-330
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• 2009

This study aimed at inquiring into the effect of the reward program in an online web homepage, which is most widely applied as a sales promotion tool for the foodservice industry, on customer trust, commitment and loyalty. The result is summarized as follows. The effect of the reward characteristics within a reward program on their trust and commitment showed that first, for the reward time, both compensation for delaying time and immediate time has a significantly positive effect on their trust and commitment, suggesting that the reward type as well as the reward time of a reward program is an important factor for improving their trust and commitment. In particular, indirect reward was a significant in raising their commitment or loyalty continuously, and for the reward attribute, economic reward was a significant attribute in building their trust.

• Archives of design research
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• v.19 no.1 s.63
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• pp.329-334
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• 2006

Present age are embossing importance and role of tourism industry according to increase of tourists number by internationalization gradually. Susan is necessity to ready our unique cultural special quality that is correct to this because is intending international sightseeing city in APEC, PIFF etc. Specially, the hotel does the mediation deposit role which provides the place it will be able to experience our specific culture in the tourists. The Comodo-Hotel situated in Jung-gu, Susan has elements the Korean traditional culture, but there is problem that these elements is not applied to room interior. Therefore, hotel room remodeling applied to Aesthetic Attributes of the Korea Traditional does so that tourists do it so that may experience our culture familiarly and advances continuously and preserves and inherits our culture together and become universal culture. Target hotel room chooses by Standard-double, Deluxe-twin, Semi-Suite-ondol three type and applies modernity and Traditional characteristics of Korean culture variously and proposes interior remodeling.

• Journal of the Korean Geographical Society
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• v.40 no.1 s.106
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• pp.78-95
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• 2005

The purpose of this paper is to analyze industrial and innovation networks of long-live area of Honam Region and to suggest a policy direction for regional development of rural areas where have been neglected in the knowledge-based information society. Four counties (Sunchang, Damyang, Gokseong, and Gurye) in the Southwestern region of Korea are regarded as long-live belt of Korea. Production and innovation networks :Ire analyzed based on intensive surveys of firms in the belt. Major findings from the surveys are as follows. First, there are considerably strong local networks of production firms in terms of supply of input materials and labor. There are strong backward industrial linkages of the production firms with agricultural activities and considerable forward linkages with tourism industry. In addition, Internet is becoming a useful tool for sales of the new products. Second, the analysis of the innovation networks in the long-live area suggests the development of 'virtual innovation cluster' in the era of knowledge-based information society. The results imply that this innovation networks can be developed as a virtual innovation cluster in the rural areas, which can be the basis for the development of rural innovation systems.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.273-281
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• 2009

The gap(P-E)-model is based on the disconfirmation paradigm that tries to under stand the effect of the gap between before purchase expectations and after purchase perceptions of the product performance on dependent variables such as customer satis-faction. But Bhote proposed multiply($I{\times}P$)-model instead of gap(P-E)-model in 1998. This paper is focused on Bhote's multiply($I{\times}P$)-model in food service industry. The purpose of this research is to test whether DINESERV's 5-dimensions by multiply($I{\times}P$) model fits in explaining satisfaction, revisit intention and customer loyalty. The F-value of regression model was used to test the fitness of regression model of the multiply($I{\times}P$)-model. Through analysis, it was found that the multiply($I{\times}P$)-model fits.