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A Novel Model of Convention Management Research and Business Process

Authors :
Takanobu Otsuka
Hidekazu Iwamoto
Naoki Fukuta
Shun Shiramatsu
Rieko Fujita
Takayuki Ito
Katsuhide Fujita
Tetsuya Oishi
Akihisa Sengoku
Tokuro Matsuo
Source :
2016 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD).
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
2016 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD)
Accession number :
edsair.doi...........124e4290d537635d536d22c15de15885
Full Text :
https://doi.org/10.1109/acit-csii-bcd.2016.051