DOI QR코드

DOI QR Code

Association between Shopping Items and the Demographics of Foreign Tourists in South Korea

  • Jeong, Dong-Bin (Department of Information Statistics, Gangneung-Wonju National University)
  • Received : 2019.06.28
  • Accepted : 2019.09.20
  • Published : 2019.09.30

Abstract

Purposes - In this research, we look over and investigate associations between shopping items and the demographics of foreign tourists in South Korea. The related seven variables are gender, age, occupations, country of residence, visit month, visit purpose and trip type. In addition, we can graph twenty-one shopping items in association with the demographics of foreign tourists by computing their dissimilarity or similarity on two dimension planes granting that the association exists between the underlying variables. Research design and methodology - This research is performed by Ministry of Culture and Tourism in 2017 and investigated 13,200 foreign tourists from 20 countries. For analyzing the detailed relationships between shopping items and the demographics of foreign tourists, we take advantage of both independent test and correspondence analysis as key statistical techniques. Results - The findings show that shopping items which foreign tourists purchase are closely associated with the three different demographics variables such as country of residence, tour type and visit purpose by monitoring significant p-value of chi-squared statistic Conclusions - This study suggests Ministry of Culture, Sports and Tourism must explore ways toward tourism infrastructure such as global marketing, municipality strategy for attracting foreign tourists, development of diverse shopping items and services and so on.

Keywords

References

  1. Benzercri, J. P. (1992). Correspondence analysis handbook. New York: Marcel Decker.
  2. Brigitte, Le R. (2009). Multiple correspondence analysis. Thousand Oaks, CA: Sage Publications.
  3. Clausen, S. E. (1988). Applied correspondence analysis: an introduction. Thousand Oaks, CA: Sage Publications.
  4. Doey, L., & Kurta, J. (2011). Correspondence analysis applied to psychological research. Tutorials in Quantitative Methods for Psychology, 7(1), 5-14. https://doi.org/10.20982/tqmp.07.1.p005
  5. Greenacre, M. J. (1984). Theory and applications of correspondence analysis. New York: Academic Press.
  6. Greenacre, M. J. (2007). Correspondence analysis in practice. Boca Raton, Florida: Taylor and Francis Group.
  7. Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2007). Multivariate data analysis. Toronto: Prentice Hall.
  8. Hoffman, D. L., & Franke, G. R. (1986). Correspondence analysis: graphical representation of categorical data in marketing research. Journal of Marketing Research, 23(3), 213-227. https://doi.org/10.2307/3151480
  9. Jeong, D. B. (2019). Evaluation of shopping items: focused on purchase of foreign tourists in South Korea. East Asian Journal of Business Economics, 7(2), 21-30 https://doi.org/10.20498/eajbe.2019.7.2.21
  10. Kim, E. P., Lee, H. S., & Lee, M. H. (2014). A Research on the design preference based on the survey of purchasing cultural sightseeing souvenirs by foreign tourists - Based on the sales results of cultural sightseeing souvenirs in Insa-dong, Seoul. Korea Science & Art Forum, 15(1), 103-114. https://doi.org/10.17548/ksaf.2014.03.15.103
  11. Nakahara, R. (2017). Interests between global consumer and local residence - relations and gaps between the foreign tourists and local residents. Global Fashion Management Conference, 7(1), 1-29.
  12. Park, C. H., & Jeong, W. S. (2010). A Comparison of Shopping Satisfaction of Japanese and Chinese Tourists in Korea. The Review of Eurasian Studies, 7(4), 35-51. https://doi.org/10.31203/aepa.2010.7.4.003
  13. Steven, J. P. (2009). Applied multivariate statistics for the social sciences. New York: Lawrence Erlbaum Associates Inc.
  14. Yang, B. H. (2013). Understanding multivariate analysis. Seoul, Korea: Communication books.