East Asian Journal of Business Economics (EAJBE) (동아시아경상학회지)

East Asia Business Economics Association (동아시아경상학회)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of Shopping Items: Focused on Purchase of Foreign Tourists in South Korea

  • Jeong, Dong-Bin (Department of Information Statistics, Gangneung-Wonju National University)
  • Received : 2019.04.02
  • Accepted : 2019.06.21
  • Published : 2019.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose - In this work, we categorize the 21 shopping items which foreign tourists purchase in South Korea and monitor the level of dissimilarity (or similarity) between each item by utilizing distance matrix, and both hierarchical and k-means cluster analyses, respectively, based on several purpose of visit attributes in 2017. In addition, multidimensional scaling (MDS) method is applied for mining visual appearance of proximities among shopping items based on purpose of visit attributes. Research design and methodology - This study is carried out in 2017 by Ministry of Culture, Sports and Tourism and conduct a face-to-face survey of foreign tourists from 20 countries who purchase shopping items in South Korea. CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0 are used to perform this work. Results - We ascertain that 21 shopping items can be classified into five similar groups which have homogeneous traits by going through two-step cluster analysis. We can position homogeneous places of cluster and shopping items joining each cluster. Conclusions - We can relatively assess patterns and characteristics of each shopping item, come by useful information in activating shopping tour based on the actual state of recognition of foreign tourists and practically apply to each tourism industry on underlying results.

Keywords

References

  1. Aldenderfer, M. S., & Blashfield, R. K. (1985). Cluster analysis. Los Angeles: Sage Publications.
  2. Borg, I., & Groenen, P. J. F. (2005). Modern multidimensional scaling (2nd ed.). New York: Springer-Verag.
  3. Carroll, J. D., & Chang. J. J. (1970). Generalization of the singular value (Eckart-Young) decomposition to N-way tables. Psychometrika, 35, 238-319.
  4. Kaufman, L., & Rousseeuw, P. (2005). Finding groups in data - an introduction to cluster analysis (2nd ed.). Hoboken, New Jersey: John Wiley & Sons.
  5. Kruskal. J. B. (1964). Major MDS based on a firm numerical analysis foundation. Psychometrika, 29, 1-27. https://doi.org/10.1007/BF02289565
  6. Kruskal, J. B., & Wish. M. (1978). Multidimensional scaling. Beverly Hills, CA: Sage Publications.
  7. Lee, Young-Jin, & Song, Young-Min (2011). An analysis of features of Japanese tourists' shopping travel patterns in Korea. Studies in Japanese modernization, 32, 185-209.
  8. Park, Hyo-Yeun, Song, Soo-Yeop, & Kim, Bong-Seok (2015). Determinants of business traveler' unplanned shopping behaviors: focused on convention participates. Korean Journal of Hotel Administration, 24(4), 233-248.
  9. Savaresi, S. M., & Boley, D. (2004). A comparative analysis on the bisecting k-means and PDDP clustering algorithm. Intelligent Data Analysis, 8, 345-362. https://doi.org/10.3233/IDA-2004-8403
  10. Shepard, R. N. (1962). Nonmetric algorithm. Psychometrika, 27, 219-246. https://doi.org/10.1007/BF02289621
  11. Takane, Y., Young. F. W., & DeLeeuw, J. (1977). Combined all previous major MDS developments into a single unified algorithm. Psychometrika, 42, 7-67. https://doi.org/10.1007/BF02293745
  12. Torgerson. W. S. (1952). Multidimensional scaling: theory and method. Psychometrika, 17(1), 401-419. https://doi.org/10.1007/BF02288916
  13. Yang, Choo-Pyung, & Yu, Seung-Hun (2015). A study on the determinants of foreigner's shopping satisfaction and the impact of recommendation and revisit. Journal of China Studies, 18(1), 1-34. https://doi.org/10.20288/JCS.2015.18.3.1
  14. Yang, B. H. (2013). Understanding multivariate analysis. Seoul: Communication Books.

Cited by

  1. Franchisors' Support Services and Their Consequences: Resource-Based View and Expectation-Confirmation Perspectives vol.15, pp.9, 2017, https://doi.org/10.15722/jds.15.9.201709.37
  2. The Impact of Initial eWOM Growth on the Sales in Movie Distribution vol.15, pp.9, 2019, https://doi.org/10.15722/jds.15.9.201709.85