TY - GEN
T1 - A Novel Model of Convention Management Research and Business Process
AU - Matsuo, Tokuro
AU - Otsuka, Takanobu
AU - Oishi, Tetsuya
AU - Fujita, Rieko
AU - Ito, Takayuki
AU - Sengoku, Akihisa
AU - Shiramatsu, Shun
AU - Fukuta, Naoki
AU - Fujita, Katsuhide
AU - Iwamoto, Hidekazu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - A lot of data are collected through various kind of sensors and devices and can be used to make business strategy. These are sometimes used in business and marketing. In existing convention management research and its business research, most of contributions provide the result of analyses of surveys using answer of questionnaire or interviews from convention attendees, event planners and several other stakeholders. If we can know attendees' behavior, perception, and thinking by collecting data from sensors, digital voice recorders and cameras, the management and business design can be designed based on the analysis in order to improve the quality of service and attendee's satisfaction. In this paper, we explain what convention attendees expect to attend the conventions. We show our preliminary experiments to collect attendees' behavior data in a convention. Then, we propose an improved design on experiment environment to acquire attendees' data in convention. We propose a refined model of convention management research and business process in the end of this paper. In our proposed research and business process on convention management, a lot of types acquired data from sensors set in convention facility and can promise to design an improved service to enhance attendees' satisfaction in convention.
AB - A lot of data are collected through various kind of sensors and devices and can be used to make business strategy. These are sometimes used in business and marketing. In existing convention management research and its business research, most of contributions provide the result of analyses of surveys using answer of questionnaire or interviews from convention attendees, event planners and several other stakeholders. If we can know attendees' behavior, perception, and thinking by collecting data from sensors, digital voice recorders and cameras, the management and business design can be designed based on the analysis in order to improve the quality of service and attendee's satisfaction. In this paper, we explain what convention attendees expect to attend the conventions. We show our preliminary experiments to collect attendees' behavior data in a convention. Then, we propose an improved design on experiment environment to acquire attendees' data in convention. We propose a refined model of convention management research and business process in the end of this paper. In our proposed research and business process on convention management, a lot of types acquired data from sensors set in convention facility and can promise to design an improved service to enhance attendees' satisfaction in convention.
KW - And business model
KW - Business process
KW - Convention business research
KW - Data-oriented research scheme
KW - IoT
UR - https://www.scopus.com/pages/publications/85020222682
UR - https://www.scopus.com/pages/publications/85020222682#tab=citedBy
U2 - 10.1109/ACIT-CSII-BCD.2016.051
DO - 10.1109/ACIT-CSII-BCD.2016.051
M3 - Conference contribution
AN - SCOPUS:85020222682
T3 - Proceedings - 4th International Conference on Applied Computing and Information Technology, 3rd International Conference on Computational Science/Intelligence and Applied Informatics, 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2016
SP - 224
EP - 229
BT - Proceedings - 4th International Conference on Applied Computing and Information Technology, 3rd International Conference on Computational Science/Intelligence and Applied Informatics, 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2016
A2 - Li, Weimin
A2 - Xu, Simon
A2 - Nguyen, Nam
A2 - Goto, Takaaki
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Applied Computing and Information Technology, 3rd International Conference on Computational Science/Intelligence and Applied Informatics and 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2016
Y2 - 12 December 2016 through 14 December 2016
ER -