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http://dx.doi.org/10.5762/KAIS.2021.22.3.579

Policy Achievements and Tasks for Using Big-Data in Regional Tourism -The Case of Jeju Special Self-Governing Province-  

Koh, Sun-Young (Tourism Research Center, Jeju Tourism Organization)
JEONG, GEUNOH (Tourism Research Center, Jeju Tourism Organization)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.3, 2021 , pp. 579-586 More about this Journal
Abstract
This study examines the application of big data and tasks of tourism based on the case of Jeju Special Self-Governing Province, which used big data for regional tourism policy. Through the use of big data, it is possible to understand rapidly changing tourism trends and trends in the tourism industry in a timely and detailed manner. and also could be used to elaborate existing tourism statistics. In addition, beyond the level of big data analysis to understand tourism phenomena, its scope has expanded to provide a platform for providing real-time customized services. This was made possible by the cooperative governance of industry, government, and academia for data building, analysis, infrastructure, and utilization. As a task, the limitation of budget dependence and institutional problems such as the infrastructure for building personal-level data for personalized services, which are the ultimate goal of smart tourism, and the Personal Information Protection Act remain. In addition, expertise and technical limitations for data analysis and data linkage remain.
Keywords
Tourism Big-data; Data Building; Data Analysis; Data Sharing; Tourism Service Platform; Tourism Consumption Pattern; Tourism Movement Pattern;
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1 Xiang, Z., Schwartz, Z., Gerdes, J.H. & Uysal, M., "What Can Big Data And Text Analytics Tell Us about Hotel Guest Experience And Satisfaction", International Journal of Hospitality Management, Vol. 44, pp. 120-130, 2015, https://doi.org/10.1016/j.ijhm.2014.10.013   DOI
2 S. J. Lee, "A Study on Consumers' Perception of Cheongju City as a Tourist Site Using Big Data Analysis", Korean Journal of Social Science, Vol. 41, No. 2, pp. 51-66, Jan. 2020.
3 S. Y. Park, K. D. Jung, K. H. Ryu & J. Y. Lee, "A Study on the Analysis of Regional Tourism in Uijeongbu Using Big Data", The Journal of Convergence on Culture Technology, Vol. 6, No. 1, pp. 413-418, Feb. 2020, http://dx.doi.org/10.17703/JCCT.2020.6.1.413   DOI
4 S. T. Park, "A Study on the Perception of Ulsan Tourism and the Promotion Plans for the Future through the Analysis of Social Big Data: Focused on CONCOR Analysis Methodology", Northeast Asia Tourism Research, Vol. 16, No. 3, pp. 109-127, Sep. 2020.   DOI
5 B. K. Kim, M. K. Kim, "Keywords Network Analysis of Temple Stay Using Big-Data", Journal of Tourism Sciences, Vol. 39, No. 5, pp. 27-40, Jul. 2015, http://dx.doi.org/10.17086/JTS.2015.39.5.27.40   DOI
6 Y. I. Yoon, J. J. Choi, "Analyzing the Sustainable Factors of Attractiveness at Tourism Destination of Film Locations Through Social Big Data", Journal of Tourism Sciences, Vol. 42, No. 6, pp. 63-80, Oct. 2018, http://dx.doi.org/10.17086/JTS.2018.42.6.63.79   DOI
7 S. W. Yoo, S. Y. Ryu, "A Study on Tourism Communication based on Media Big Data Analytics: Perception about Tourism in Gwangju and Jeollanam-do and Activation plan of tourism Industry", Regional Industry Research, Vol. 42, No. 2, pp. 255-278, May, 2019.
8 K. H. Park, "Success Cases and Considerations for Using Big Data in Tourism", Korea Tourism Policy, Vol. 64, pp. 77-83, Jun. 2016.
9 J. Y. Jun, "Foreigner Credit Card Domestic Expenditure Data Utilization Plan", Culture & Tourism Insight, Vol. 132, Korea Culture & Tourism Institute, Feb. 2019.
10 Korea Tourism Orginization, "Pilot Analysis of the Performance of Tourism Business Using Big Data: Focusing on the 2013 Cultural Tourism Festival", Korea Tourism Orginization, 2013, Korea.
11 Jeju Tourism Organization, A Structuring Jeju Tourism Satellite Account, Tourism Report, Jeju Tourism Organization, 2018, Korea.
12 Korea Tourism Organization, "A study on Establishing Guidelines for Estimating Domestic Tourism Visitors Using Big Data from Telecommunication Companies and Card Companies", Korea Tourism Organization, 2017, Korea.
13 Y. R. Oh, "Analysis of Big Data Use Cases in Tourism", Korea Culture & Tourism Institute, 2019, Korea.
14 T. I. Kwon. C. H. Lee, "Big Data Utilization System and Empirical Analysis Research in Tourism Field", Korea Culture & Tourism Institute, 2019, Korea.
15 Jeju Tourism Organization, Analysis of Jeju Tourism Industry Sales Structure, Jeju Tourism Issue Focus, Vol. 12, Tourism Report, Jeju Tourism Organization, 2020, Korea.
16 Jeju Special Self-Governing Province, Estimation of Jeju Tourism Raw Income, pp. 13, Jeju Special Self-Governing Province, 2020, Korea.
17 Jeju Tourism Organization, Big-Data Analysis on Travel Patterns of Visitors to Jeju, Jeju Tourism Organization, 2020, Korea.
18 Jongno-gu, "Jongno-gu Tourism Statistics Analysis Research Service Result Report Using Big Data", Jongno-gu, 2017, Korea.
19 Jeju Special Self-Governing Province, Jeju-Style Lifestyle Prevention Strategy-Execution of Distance in Life through Selection and Concentration(Internal Data), Jeju Special Self-Governing Province, 2020, Korea.
20 Jeju Tourism Organization Big-Data Service Platform, http://visitjeju.net/kr/bigdatamap
21 Li, X., Pan, B., Law, R., & Uang, X., "Forcasting Tourism Demand with Composite Search Index", Tourism Management, Vol. 59, pp. 57-66, 2017, https://doi.org/10.1016/j.tourman.2016.07.005   DOI
22 Li, J., Xu, L., Tang, L., Wang, S., & Li, L., "Big Data in Tourism Research: A Literature Review", Tourism Management, Vol. 68, pp. 301-323, 2018, https://doi.org/10.1016/j.tourman.2018.03.009   DOI
23 Yang, X., Pan, B., Evans, J.A., & Lv, B., "Forcasting Chinese Tourist Volume with Search Engine Data", Tourism Management, Vol. 46, pp. 386-397, 2015, https://doi.org/10.1016/j.tourman.2014.07.019   DOI