DocumentCode :
2893842
Title :
An Exhibition Booth Layout Allocation Procedure Based on Social Network Analysis
Author :
Yoon Jeong Jeong ; Hyun Sil Moon ; Jae Kyeong Kim
Author_Institution :
Sch. of Manage., Kyung Hee Univ., Seoul, South Korea
fYear :
2013
fDate :
24-26 June 2013
Firstpage :
1
Lastpage :
5
Abstract :
As the development of information technology is growing, valuable information ubiquitous can be extracted easily. For the same reason, many exhibition organizers apply ubiquitous technologies in exhibition. These technologies can extract valuable information like visitor´s path data. To provide a booth recommendation and booth event recommendation have been already studied using the technologies. Booth layout also has a positive effect on maximizing the marketing performance. But there is no proper criteria and research about booth layout for effective visitors visit a booth. To compensate the limitations of existing researches, this paper proposes effective booth layout allocation procedure that is analyzed by social network analysis this paper proposes effective booth layout procedure that is visit network. Furthermore, we suggest their booths in a group are allocated in specific sector. We expect to provide method how to set up a booth to arrange to be able to increase the satisfaction of visitors and exhibitor.
Keywords :
exhibitions; information retrieval; marketing data processing; recommender systems; social sciences; ubiquitous computing; booth event recommendation; exhibition booth layout allocation procedure; exhibitor satisfaction enhancement; information technology; marketing performance maximization; social network analysis; ubiquitous information extraction; visit network; visitor path data; visitor satisfaction enhancement; Association rules; Information technology; Layout; Lead; Resource management; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
Type :
conf
DOI :
10.1109/ICISA.2013.6579442
Filename :
6579442
Link To Document :
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