Quantitive Analysis of Important Attributes to Attract International Conventions

Hidekazu Iwamoto, Tokuro Matsuo, Yasushi Sugiyama, Sachio Hirokawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study is to clarify what kinds of factors are important to attract international conventions for Japanese researchers. Moreover, this study discusses the differences between those who have hosted international convention and those who are willing to host international convention in the future by using machine learning. Even though Japanese government has begun MICE promotion activities, researches on MICE industry are still limited and just get started in Japan. In analysis of the data, respondents are classified into 2 groups; those who have hosted international convention as experienced group and those who are willing to host international convention in the future as non-experienced group. A machine learning was used to analyze the difference of perspectives on the importance of site selection criteria between those who have hosted international convention and those who are willing to host international convention in the future. The results of machine learning show the differences between those who have hosted international conventions and those who are willing to host international conventions in the future.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages815-820
Number of pages6
ISBN (Electronic)9781728126272
DOIs
Publication statusPublished - Jul 2019
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: Jul 7 2019Jul 11 2019

Publication series

NameProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

Conference

Conference8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
CountryJapan
CityToyama
Period7/7/197/11/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Social Sciences (miscellaneous)

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  • Cite this

    Iwamoto, H., Matsuo, T., Sugiyama, Y., & Hirokawa, S. (2019). Quantitive Analysis of Important Attributes to Attract International Conventions. In Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019 (pp. 815-820). [8992612] (Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2019.00166