Journal of the Korean Society of Food Culture (한국식생활문화학회지)

Korean Society of Food Culture (한국식생활문화학회)
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Analyzing Research Trends of Food Tourism Using Text Mining Techniques

텍스트마이닝 기법을 활용한 국내 음식관광 연구 동향 분석

  • Shin, Seo-Young (Department of Food & Nutrition, Seoil University) ;
  • Lee, Bum-Jun (Department of Hotel & Foodservice Management, Cheju Halla University)
  • 신서영 (서일대학교 식품영양학과) ;
  • 이범준 (제주한라대학교 호텔외식경영학과)
  • Received : 2019.11.15
  • Accepted : 2019.12.30
  • Published : 2020.02.28
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Abstract

The objective of this study was to review and evaluate the growing subject of food tourism research, and thus identify the trend of food tourism research. Using a Text mining technique, this paper discovered the trends of the literature on food tourism that was published from 2004 to 2018. The study reviewed 201 articles that include the words 'food' and 'tourism' in their abstracts in the KCI database. The Wordscloud analysis results presented that the research subjects were predominantly 'Festival', 'Region', 'Culture', 'Tourist', but there was a slight difference in frequency according to the time period. Based on the main path analysis, we extracted the meaningful paths between the cited references published domestically, resulting in a total of 12 networks from 2004 to 2018. The Text network analysis indicated that the words with high centrality showed similarities and differences in the food tourism literature according to the time period, displaying them in a sociogram, a visualization tool. This study has implications that it offers a new perspective of comprehending the overall flow of relevant research.

Keywords

References

  1. Belisle FJ. 1983. Tourism and food production in the Caribbean. Annals of Tourism Research, 10(4):497-513 https://doi.org/10.1016/0160-7383(83)90005-1
  2. Borgatti SP, Everett MG, Freeman LC. 2002. Ucinet for Windows: Software for social network analysis
  3. Choi HY, Kwak GH, Kim HS. 2017. A positioning study of national food: In perspective of Korean, American, Chinese food tourists. Culinary Science & Hospitality Research, 23(2):86-94 https://doi.org/10.20878/cshr.2017.23.2.009009009
  4. Choi JA. 2012. Success story of culinary tourism. The East Asian Society of Dietary Life Annual Conference Proceedings, pp 61-66
  5. Choi JW, Kim TH. 2015. Psycho-culinary scale development for domestic food tourist. Korean J of Hospitality & Tourism, 24(4):17-43
  6. Choi W. 2017. Structural relationships of local foods of winter olympic special region on regional image, food tourism, revisit intention, and regional reactivation: regional reactivation strategy through the continuous attraction of the tourists after winter olympic games. Korean J of Hospitality Administration, 26(5):151-170 https://doi.org/10.24992/KJHT.2017.07.26.05.151.
  7. Chung EK, Lee JY, Lee CE. 2017. A study on the difference of attributes of food selection and behavior intention depending on smart tourism I-VALS. J of Foodservice Management, 20(5):117-137
  8. Cianflone E, Bella GD, Dugo G. 2013. Preliminary insights on British travellers' accounts of Sicilian oranges. Tourismos: An International Multidisciplinary Journal of Tourism, 8(2):341-347
  9. Ellis A, Park ER, Kim SK, Yeoman I. 2018. What is food tourism? Tourism Management, 68:250-263 https://doi.org/10.1016/j.tourman.2018.03.025
  10. Everett S. 2012. Production places or consumption spaces? The place-making agency of food tourism in Ireland and Scotland. Tourism Geographies, 14(4):535-554 https://doi.org/10.1080/14616688.2012.647321
  11. Fung JZ, Lee HW. 2016. A study on interface design for usability improvements of Korea Tourism Organization App: Based on Chinese tourists's usability of 'Visit Korea' App. J of the Korean Society of Design Culture 22(4):641-655
  12. Hall CM, Sharple L. 2003. The consumption of experiences or the experience of consumption? An introduction to the tourism of taste, food tourism around the world: development, management and markets. Butterworth-Heinemann. Oxford, pp 1-24
  13. Hall CM, Sharples L, Mitchell R, Macionis N, Cambourne B. 2003. Food tourism around the world: Development, management and markets. Butterworth-Heinemann, Oxford, pp 9-12
  14. Han SS, Yang DW. 2017. Analysis of research trends related to start-up using text mining. Asia-Pacific J of Business Venturing and Entrepreneurship, 12(5):1-12 https://doi.org/10.16972/APJBVE.12.5.201710.1
  15. Hansen D, Shneiderman B. Smith, M. 2009. Analyzing social media networks: Learning by doing with NodeXL. Computing, 28(4):1-47
  16. He Q. 1999. Knowledge discovery through co-word analysis. Library Trends, 48(1):133-159
  17. Jong AD, Varley P. 2017. Food tourism policy: Deconstructing boundaries of taste and class. Tourism Management, 60:212-222 https://doi.org/10.1016/j.tourman.2016.12.009
  18. Kang SJ, Do KL, Jo LH. 2014. A study on market segmentation of foreign visitors to vitalize local food tourism: by food related behaviors during a trip. International J of Tourism Management and Science, 29(5):177-197
  19. Kim DW, Cho MI, Kim SY. 2013. Exploring advertising and public relations research in Korea: Using semantic network analysis across different time periods from 1988 to 2012. The Korean J of Advertising, 24(6):95-120
  20. Kim HC. 2019. A study on the advanced strategies of food tourism by types of tourists: Focused on the Gijang township. Tourism Research 44(3):21-39 https://doi.org/10.32780/ktidoi.2019.44.3.21
  21. Kim HR, Park SH, Won DY. 2015. An analysis of research trends of sport management: Co-author network and keyword network. Korean Society For Sport Management, 20(3):63-84
  22. Kim HS. 2017. An exploratory study on the semantic network analysis of food tourism through the big data. Culinary Science & Hospitality Research 23(4):22-32 https://doi.org/10.20878/cshr.2017.23.4.003
  23. Kim JH. 2007. The effects of evaluation attributes of cultural tourism festivals on satisfaction and behavioral intention. J of Global Academy of Marketing Science, 17(2):55-73 https://doi.org/10.1080/12297119.2007.9707236
  24. Kim JH, Chang MH, Kim DC. 2016. Effects of food involvement and novelty seeking on culinary tourism behavior and intension of revisiting the JeonJu bibimbab food festival. International J of Tourism and Hospitality Research, 30(6):71-84
  25. Kim JH, Ko DW. 2016. Research trends on social capital in the tourism field from the perspective of text network analysis: Focusing on domestic journals. J of Tourism Science, 40(8):157-173 https://doi.org/10.17086/JTS.2016.40.8.157.173
  26. Kim SG, Lee SH, Lee JH. 2017. A Study of Food Tourism Participation Activity as it Relates to Tourism Satisfaction and Behavioral Intention: The Mediating Effect of Tourism Satisfaction. J of Tourism Sciences, 41(7): 11-26
  27. Kim SJ. 2013. The comparative analysis of Japanese/Chinese tourists' inbound food tourism activities. Master's degree thesis, Yonsei University, Seoul.
  28. Kim SJ, Hwang JH. 2014. Classification of food tourists and their information search behavior. J of Tourism Sciences, 38(1):11-32
  29. Kim SM, Ahn HY. 2014. Cultural Tourism Festival Evaluation Attributes and Satisfaction, After Satisfactory Behavior. Northeast Asia Tourism Research, 10(1):37-55
  30. Kwak GY. 2014. Social Network Analysis. Cheongram, Seoul.
  31. Kwon MY, Ko HS, Yang JY. 2014. A study on the effect of food tourism attitude and food tourist's activity on satisfaction and behavioral intention. Regional Industry Review, 37(2):263-286
  32. Lee DS. 2013. The effect of motive and involvement on the satisfaction and participation activity in food tourism. International J of Tourism Management and Science, 28(5):325-342
  33. Lee DW. 2017. Extension method of association rules using social network analysis. J of Intelligence and Information Systems, 23(4):111-126 https://doi.org/10.13088/JIIS.2017.23.4.111
  34. Lee HJ, Lee DI, Lee JH. 2010. Development of franchise education program through semantic network analysis. Korea Business Review, 14(2):105-128
  35. Lee IA, Kim HJ. 2019. Analyzing the study trends of 'Sense of Place' using text mining techniques. J of The Korean Biblia Society For Library And Information Science, 30(2):189-209 https://doi.org/10.14699/KBIBLIA.2019.30.2.189
  36. Lee JY, Kwon MY. 2009. Effects of involvement of food tourists' on participation in food tourism activities and behavioral intention. J of Tourism Management Research, 13(2):177-198
  37. Lee KK, Choi W, Kim EJ. 2015. A study on experience value of food tourism and regional image by tourism information channel. J of Hotel & Resort 14(1):79-101
  38. Lee YJ, Yang WJ. 2016. The application of network analysis to tourism research trend analysis by Korean Journal of Tourism Research of the Korean Academic Society of Tourism Management. International J of Tourism Management & Science, 31(4):363-383 https://doi.org/10.21719/KJTR.31.4.18
  39. Liu B. 2011. Social network analysis. Berlin, Heidelberg: Springer
  40. Liu JS, Lu LY. 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example." J of the American Society for Information Science and Technology, 63(3):528-542 https://doi.org/10.1002/asi.21692
  41. Ministry of Culture, Sports and Tourism. 2019. International visitor survey 2018. Seoul: Ministry of Culture, Sports and Tourism, pp1-25
  42. Montanari A. 2009. Geography of taste and local development in Abruzzo (Italy): Project to establish a training and research centre for the promotion of eno-gastronomic culture and tourism. J of Heritage Tourism, 4(2):91-103 https://doi.org/10.1080/17438730802366482
  43. Morris SA, Martens VV. 2008. Mapping research specialties. Annual review of information science and technology, 42(1):213-295 https://doi.org/10.1002/aris.2008.1440420113
  44. Nooy WD. 2005. Exploratory Social Network Analysis with Pajek. Cambridege University Press.
  45. Nyman J. 2003. Fancy some cobra?: Exploring Vietnamese cuisine in contemporary culinary travelogues. Journeys: The International Journal of Travel and Travel Writing, 4(1):84-102 https://doi.org/10.3167/146526003782487764
  46. Park CS. 2019. Using Text Network Analysis for Analyzing Academic Papers in Nursing. Perspectives in Nursing Science. 16(1):12-14 https://doi.org/10.16952/pns.2019.16.1.12
  47. Park HY, Ahn MW, Kim BW, Kim NY. 2014. Study on preferences and perception of Koreans and Non-Koreans residing in Korea regarding globalization of Korean foods. J of the East Asian Society of Dietary Life, 24(2):155-165
  48. Park JS, Kim CS, Kwahk KY. 2016. Investigation of research trend in hotel domain using text mining and social network analysis. J of Tourism and Leisure Research, 28(9):209-226
  49. Park SH, Seo YS. 2010. Identifying the determinants of food tourism behavior: A focus on impact of the placeness and involvement. J of Tourism Sciences 34(6):149-169
  50. Popping R. 2000. Computer-assisted text analysis. Thousand Oaks: Sage Publications, London
  51. Quan S, Wang N. 2004. Towards a structural model of the tourist experience: An illusion from food experience in tourism. Tourism Management, 25(2004):297-305 https://doi.org/10.1016/S0261-5177(03)00130-4
  52. Seo SH. 2012. Tourists' information sources and the importance of selection attributes for restaurant decision-making based on source process model. J of Tourism Science, 36(2):253-275
  53. Seo SH, Kang SM, Sim HJ. 2015. Comparison between perceived risk and risk relief behavior when visiting Korean food restaurant based on cultural difference. J of Foodservice Management, 18(6):7-29
  54. Shenoy SS. 2005. Food tourism and the culinary tourist. Doctoral degree thesis, Clemson University, pp 187-191
  55. Suh CH, Ahn HY, Kim YC. 2010. A study on the degree of satisfaction factor of local festival visitors and the influence on their action intention. Korean J of Business Administration, 23(2):833-852
  56. Sung Y. 2015. Food tourism globalization of the wellness era. International J of Tourism Management and Science, 30(1):141-162
  57. Sung Y, Kim KH. 2013. Food tourism and regional tourism revitalization through segmentation: Focused on the dishes prepared with medicinal herbs food. J of Hospitality & Tourism Studies, 15(3):351-369
  58. Yeoman I. 2012. 2050: Tomorrow's tourism. Channel View Publications, UK.
  59. Youn NM, Lee SH, Yoon YS. 2010. A comparative study on the recognition and attitude of Korean foods for Japanese and Chinese tourists in Korea. J of Foodservice Management Society of Korea, 13(2):149-168
  60. The World Food Travel Association. https://worldfoodtravel.org (accessed on 9. 5. 2018)