• Culinary science and hospitality research
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• v.23 no.4
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• pp.22-32
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• 2017

The purpose of this study was to explore awareness of food tourism using big data analysis. For this, this study collected data containing 'food tourism' keywords from google web search, google news, and google scholar during one year from January 1 to December 31, 2016. Data were collected by using SCTM (Smart Crawling & Text Mining), a data collecting and processing program. From those data, degree centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of 'core service' and 'social marketing' was high. In addition, the web visibility was also high for destination, such as rural, place, ireland and heritage; 'socioeconomic circumstance' related words, such as economy, region, public, policy, and industry. Convergence of iterated correlations showed 4 clustered named 'core service', 'social marketing', 'destinations' and 'social environment'. It is expected that this diagnosis on food tourism according to changes in international business environment by using these web information will be a foundation of baseline data useful for establishing food tourism marketing strategies.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.99-126
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• 2014

Tourism industry increasingly rely on information technology (IT) to improve the task performance. Many studies suggested that the evidence of IT showed not only task performance improvement but also organizational performance. Drawing from the resource-based view, technology and task fitness, and marketing orientation theories, this study proposes that IT use influences directly the task performance and proved the effectiveness of IT in the organizations of tourism industry. Further, the innovativeness, resources, and marketing orientation are identified as main determinants of IT use. The use of IT can serve as a catalyst in improving task performance for organizations in tourism industry. Based on data collected from surveying people who work in the tourism industry, the present study shed light on these issues. The findings provide a new perspective of IT effectiveness in the tourism industry. Then, we discussed the theoretical and practical implications.

• Journal of Smart Tourism
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• v.1 no.3
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• pp.21-29
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• 2021

This study explored the relationship between post types and linguistic characteristics in marketer-generated content and social media engagement to find the optimized content to enhance social media engagement level. Post data of 23,588 marketer-generated content were collected from 50 states' destination marketing organization Facebook pages in the United States. The collected data were analyzed by employing social media analytics, linguistic analysis, multivariate analysis of variance, and discriminant analysis. The results showed that there are significant differences in both engagement indicators and linguistic scores among the three post types. Based on research findings, this research not only provided researchers with theoretical implications but also suggested practitioners the most effective content designs for travel destination marketing in Facebook.

• Journal of Smart Tourism
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• v.2 no.4
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• pp.1-3
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• 2022

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.613-626
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• 2009

This research examines the effect of the place marketing image in the Insadong Cultural District as a tourism destination on the foreign tourists' satisfaction and intention to revisit. The result of the factor analysis revealed thirty attributes of the place that are important to tourist and that could be clustered into four major factors: 'identity', 'attractive things and quality of life', 'cultural sights and economy', and 'city improvements'. 'Attractive things and quality of life', 'cultural sights and economy' and 'city improvements' are the three factors that are significant in the relationship between the place marketing image and type of visit. On the relationship between place marketing image and tourist nationality the only significant factor was 'attractive things and quality of life'. In the relationship between place marketing image and satisfaction, the significant factors were: 'identity', 'cultural sights and economy', and 'city improvements', while the relationship between place marketing image and intention to revisit have 'attractive things and quality of life', 'cultural sights and economy', and 'city improvements' as significant factors.

• The Journal of Fisheries Business Administration
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• v.49 no.4
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• pp.53-68
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• 2018

The industrial structure of Chuja Island is mainly occupied by fisheries. Since the fisheries resources have been depleted and the marine environment has been changed, the fishery industry has been hard to survive. It is the time when residents are looking for a breakthrough in the tourism industry. Market segmentation is a valuable tool in the establishment of marketing strategies. Segmentation of tourists by the same desire and motivation is an essential factor in identifying the characteristics of tourists. The research on market segmentation of tourism sector focuses mainly on demographic subdivision, psychological subdivision, and behavioral subdivision, so it is urgent to study geographical market segmentation. The purpose of this study is to present data that can be used to establish a marketing strategy for tourism promotion in Chuja Island by analyzing the tourism activities via subdivision market according to demographic characteristics, tourism behavior characteristics, and tourism motivation after grasping the geographical segment of tourists through empirical analysis. In this study, 285 valid samples were analyzed by frequency analysis, ${\chi}^2$ test, cluster analysis and ANOVA test.

• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.237-245
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• 2009

The purpose of the study is to investigate how much customers' environmental consciousness and perception of environmental marketing in the fast food company affect their purchasing intention. Out of 420 questionnaires, 394 were analyzed by SPSS/WIN12.0 for the study. The results are as follows: the more environmental consciousness customers have, the more consumers understand environmental efforts of fast food companies. Second, consumers agree that fast food companies have a responsibility for environmental problems. Third, significant factors related to environmentally friendly marketing are found out. In other words, social psychological factors are more useful than demographic factors drawn from previous studies. Therefore, the empirical study would provide evidence for customers being interested in environmental marketing and valuable data for marketers who will approach environmentally friendly fast food market in the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.27 no.2
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• pp.29-40
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• 1999

Tourism marketing begins with understanding tourists' needs. However, understanding tourists' needs should be expressed by specific utility values rather than simple preference order for the purpose of developing tourism marketing strategies. This study aims at identifying tourist's stated preference of vacation destination attributes by using the conjoint analysis. In addition, this study is purposed to define relationship between attitude and preference, and to suggest implications to tourism marketing strategies. It was found that stated preference to such attributes as 'quality of accommondation', 'recreation activities' and 'accessibility' among the attitude segments was significantly different but stated preferences to diverse profiles made of these three attributes showed significant differences only in such attributes as 'quality of accommodation' and 'recreation activities'. This results make it possible to identify the function of preference to destination attributes in the vacation destination choice decision. It also embodies the relationship between tourist's attitude and vacation destination attributes.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.416-423
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• 2009

From marketing perspectives, WOM(Word-of-Mouth) is one of the communication methods for travelers. It can be an instrument of the effect on tourist decision. The growing predominance of internet use has further highlighted the need for understanding of UCC(User-created contents) tourism information such as travel experience and travel recommendation. This paper was to examine usage patterns of UCC tourism information using experimental design and contents analysis. The result indicated that there were qualities of UCC tourism information. That is useful implication to tourism information-related marketers in destination marketing.