TY - GEN
T1 - Quantitive Analysis of Important Attributes to Attract International Conventions
AU - Iwamoto, Hidekazu
AU - Matsuo, Tokuro
AU - Sugiyama, Yasushi
AU - Hirokawa, Sachio
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
KW - convention industry
KW - international convention
KW - MICE
KW - questionnaire survey
KW - site selection criteria
UR - https://www.scopus.com/pages/publications/85080878472
UR - https://www.scopus.com/pages/publications/85080878472#tab=citedBy
U2 - 10.1109/IIAI-AAI.2019.00166
DO - 10.1109/IIAI-AAI.2019.00166
M3 - Conference contribution
AN - SCOPUS:85080878472
T3 - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
SP - 815
EP - 820
BT - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Y2 - 7 July 2019 through 11 July 2019
ER -