DOI QR코드

DOI QR Code

A Study on Evaluation of Online Trading System in MRO Supply Business

  • JEONG, Dongbin (Department of Information Statistics, Gangneung-Wonju National University)
  • Received : 2022.02.21
  • Accepted : 2022.04.24
  • Published : 2022.04.30

Abstract

Purpose: The findings are expected to be used as basic data for policy establishment for systematic support and upbringing of small and medium-sized suppliers through the current status and characteristics of the industrial structure of the MRO consumable materials industry as a whole and the market trend. Research design, data, and methodology: This survey is conducted in 2019 mainly for companies that operate consumable materials delivery business, and the survey size is about 25,000 in advance (selected) and about 2,000 in the main survey. Using cluster analysis and multidimensional scaling, we derive the visualization of the homogeneous grouping of cases and the relationship structure between them. Results: Based on the attributes of reason for not having an online trading system, it is classified into three and four clusters for industry and company size, respectively, and the feature and pattern of each individual can be are relatively evaluated and visualized. Conclusions: Small and medium-sized consumable material suppliers specialize in products rather than fierce pricing strategies or external expansion strategies and it is more effective to establish a plan to promote the growth of both large and small enterprises through cooperation with large corporations.

Keywords

Acknowledgement

This work was supported by the Research Institute of Natural Science of Gangneung-Wonju National University.

References

  1. Aldenderfer, M. S., & Blashfield, R. K. (1985). Cluster analysis, Sage Publications, Los Angeles.
  2. Borg, I., & Groenen, P. J. F. (2005). Modern multidimensional scaling (2nd ed.). Springer-Verag, New York.
  3. Hong, H. K., & Park, Y. S. (2017). An empirical study on selection criteria of small and medium MRO vendors. Proceedings of the First International Conference of ASGBA (pp.69-92). Seoul, Korea, ASGBA.
  4. Im, K. J., Ryou, O. R., & Yang, H. C. (2018). The effects of MRO supplier's B2B service quality and sales person's sales orientation on relationship quality: mediating effect of rapport. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 8(7), 63-74. https://doi.org/10.35873/AJMAHS.2018.8.7.007
  5. Jeong, D. B. (2013). A study on universities positioning using multidimensional scaling. Korean Business Education Review, 28(2), 1-15.
  6. Jeong, D. B. (2014). Evaluation of research performances for 28 national universities. Journal of Korean Data & Information Science Society, 25(6), 1241-1251. https://doi.org/10.7465/jkdi.2014.25.6.1241
  7. Jeong, D. B. (2015). A study on cluster and positioning of domestic electronic commerce based on purchasing motivation. Journal of Korean Data & Information Science Society, 29(4), 841-856. https://doi.org/10.7465/jkdi.2015.26.4.841
  8. Kaufman, L., & Rousseeuw, P. (2005). Finding groups in data - An introduction to cluster analysis (2nd ed.). Hoboken, New Jersey: John Wiley & Sons.
  9. Kim, K. I., Kim, S. C., & Lee, T. W. (2020). The effect of the relationship between MRO office supplies franchisors and on franchisee satisfaction and financial performance. Global Business Administration Review, 17(6), 1-23.
  10. Kim, M. A. (2015). A critical review on the effectiveness of MRO guidelines. KERI Brief, 15(16), 1-16.
  11. Kim, M. J. (2016). Research on MRO suppliers and the revitalization measures - focusing on the measures to gain competitiveness of small and medium-sized MRO suppliers. Master Thesis. Korea University, Seoul, Korea.
  12. Kruskal. J. B. (1964). Major MDS based on a firm numerical analysis foundation. Psychometrika, 29, 1-27. https://doi.org/10.1007/BF02289565
  13. Kruskal, J. B., & Wish. M. (1978). Multidimensional scaling, Sage Publications, Beverly Hills, CA.
  14. Kwon, S. W., Kim , Y. E., Youn, M. K., & Jeon, T. S. (2010). The relationship between MRO e-commerce system and purchase effects. Journal of Distribution Science, 8(3), 5-15. https://doi.org/10.15722/JDS.8.3.201009.5
  15. Lee, J. H., Park, Y. G., Park, H.W., & Lee, S. J. (2021). A study on motivation, execution and performance of military MRO. Regional industry review, 44(4), 155-181. https://doi.org/10.33932/rir.44.4.8
  16. 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
  17. Shepard, R. N. (1962). Nonmetric algorithm. Psychometrika, 27, 219-246. https://doi.org/10.1007/BF02289621
  18. 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
  19. Torgerson. W. S. (1952). Multidimensional scaling: 1. Theory and method. Psychometrika, 17, 401-419. https://doi.org/10.1007/BF02288916
  20. Yang, B. H. (2013). Understanding multivariate analysis, Communication Books, Seoul.