• International Journal of Contents
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• v.7 no.3
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• pp.48-59
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• 2011

The present thesis is on a construction of the system which supports exhibition evaluation of curators, which automatically collects, keeps, and totalizes objective data on visitor behavior in museums, and which comprehensively displays the results by tables and graphs. The system is composed by access points and mobile exhibition exposition devices in the museum operating together. Obtainable visitor information include a user number, an average staying period, contents use hour, and exhibition viewing frequency. Prototype experiment at museums shows that the system is effective in efficient data collection and exhibition evaluation and is expected to become an information collecting tool for visitor research and an exhibition evaluation tool for exhibition improvement.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.84-92
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• 2009

The purpose of this study was to examine the facilities, the current status, and the problems of Korean Exhibition Industry and to provide its future direction based on analysis of the characteristics and the recent trend of German Exhibition Industry. Data were obtained from previous research papers, periodicals, magazines, and newspapers. Also, statistical data provided by AUMA(Ausstellungs- und Messe- Ausschuss der Deutschen Wirtschaft e.V.), Association of Korean Exhibition Industries, and Global Exhibition Portal were used. In the result part of this study, various issues such as similarities and differences between Korean and German Exhibition Industry and problems of Korean Exhibition Industry were discussed. The strategies to improve the competitiveness of Korean Exhibition Industry were suggested. They are as follows ; development of global and specialized exhibitions, training of professional human resources for exhibition, formulating of aggressive and powerful oversee marketing, formation of oversee network, improving of laws, regulation and system in such a way to meet the realistic needs of exhibition, building of infrastructure such as roads, traffic networks and accomodations, raise of the Korea image and strengthen of quality of exhibition service.

• Culinary science and hospitality research
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• v.23 no.3
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• pp.257-270
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• 2017

The purpose of this study was to visualize the semantic network with big data related to food exhibition at convention center. For this, this study collected data containing 'coex food exhibition/bexco food exhibition' keywords from web pages and news on Google during one year from January 1 to December 31, 2016. Data were collected by using TEXTOM, a data collecting and processing program. From those data, degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of hospitality and destinations was high. In addition, the web visibility was also high for convention center programs, such as festival, exhibition, k-pop and event; hospitality related words, such as tourists, service, hotel, cruise, cuisine, travel. Convergence of iterated correlations showed 4 clustered named "Coex", "Bexco", "Nations" and "Hospitality". It is expected that this diagnosis on food exhibition at convention center according to changes in domestic environment by using these web information will be a foundation of baseline data useful for establishing convention marketing strategies.

• Asia pacific journal of information systems
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• v.25 no.1
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• pp.83-97
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• 2015

Recently, the exhibition industry has developed rapidly with the development of information technologies. Most exhibitors in an exhibition plan and deploy many events that may provide advantages to visitors as a method of effective promotion. The growth and propagation of wireless technologies is a powerful marketing tool for exhibitors. However, exhibitors still rely on domain experts who are costly and time consuming because of the manual knowledge input procedure. Moreover, it is prone to biases and errors and not suitable for managing fast-growing and tremendous amounts of data that far exceed a human's ability to comprehend. To overcome these problems, data mining technology may be a great alternative, but it needs to be fit to each exhibition. This study uses data mining technology with the Predictive Model Markup Language (PMML) to suggest a system that supports intelligent services and that improves stakeholder satisfaction. This system provides advantages to the exhibitor, show organizer, and system designer, and is first enhanced by integrating data mining technologies through the knowledge of exhibition experts. Second, using the PMML, the system can automate the process of applying data mining models to solve real-time processing problems in the exhibition environment.

• Journal of Intelligence and Information Systems
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• v.17 no.2
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• pp.77-96
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• 2011

An exhibition is defined as market events for specific duration to present exhibitors' main products to business or private visitors, and it plays a key role as effective marketing channels. As the importance of exhibition is getting more and more, domestic exhibition industry has achieved such a great quantitative growth. But, In contrast to the quantitative growth of domestic exhibition industry, the qualitative growth of Exhibition has not achieved competent growth. In order to improve the quality of exhibition, we need to understand the preference or behavior characteristics of visitors and to increase the level of visitors' attention and satisfaction through the understanding of visitors. So, in this paper, we used the observation survey method which is a kind of field research to understand visitors and collect the real data for the analysis of behavior pattern. And this research proposed the following methodology framework consisting of three steps. First step is to select a suitable exhibition to apply for our method. Second step is to implement the observation survey method. And we collect the real data for further analysis. In this paper, we conducted the observation survey method to obtain the real data of the KIDS & EDU EXPO for Children in SETEC. Our methodology was conducted on 160 visitors and 78 booths from November 4th to 6th in 2010. And, the last step is to analyze the record data through observation. In this step, we analyze the feature of exhibition using Demographic Characteristics collected by observation survey method at first. And then we analyze the individual booth features by the records of visited booth. Through the analysis of individual booth features, we can figure out what kind of events attract the attention of visitors and what kind of marketing activities affect the behavior pattern of visitors. But, since previous research considered only individual features influenced by exhibition, the research about the correlation among features is not performed much. So, in this research, additional analysis is carried out to supplement the existing research with data mining techniques. And we analyze the relation among booths using data mining techniques to know behavior patterns of visitors. Among data mining techniques, we make use of two data mining techniques, such as clustering analysis and ARM(Association Rule Mining) analysis. In clustering analysis, we use K-means algorithm to figure out the correlation among booths. Through data mining techniques, we figure out that there are two important features to affect visitors' behavior patterns in exhibition. One is the geographical features of booths. The other is the exhibit contents of booths. Those features are considered when the organizer of exhibition plans next exhibition. Therefore, the results of our analysis are expected to provide guideline to understanding visitors and some valuable insights for the exhibition from the earlier phases of exhibition planning. Also, this research would be a good way to increase the quality of visitor satisfaction. Visitors' movement paths, booth location, and distances between each booth are considered to plan next exhibition in advance. This research was conducted at the KIDS & EDU EXPO for Children in SETEC(Seoul Trade Exhibition & Convention), but it has some constraints to be applied directly to other exhibitions. Also, the results were derived from a limited number of data samples. In order to obtain more accurate and reliable results, it is necessary to conduct more experiments based on larger data samples and exhibitions on a variety of genres.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.35-46
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• 2011

As development of exhibition, it has been an important issue to analyze exhibition for the next success of exhibition. A lot of existing researches have focused on the exhibitor's and visitor's satisfaction problem. However, the exhibitor's satisfaction and success of exhibition come from the analysis of exhibition in the network level. Booths composing exhibition are regarded as nodes in network, so the trace of visitors visiting booths can construct the arc of networks. The purpose of this study is to analyze the booth visiting pattern and components of network through social network analysis using data collected in the $17^{th}$ International KIDS & EDU EXPO for Children. This research is the first approach of network-leveled analysis of exhibition, and the result of network analysis is helpful to support the booth arrangement in next exhibition. Our analysis results the following implications. First, Booths with high degree centrality or betweenness centrality should be deployed in the wide space or corner of the exhibition hall. Finally, booths within a block should be deployed in the same space of the exhibition hall to provide convenience to the visitors and to enhance exhibition performance.

• Korean Institute of Interior Design Journal
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• v.17 no.4
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• pp.84-91
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• 2008

The objective of this study is to investigate how visitors' behavior change in relation to the pattern of exhibition in art museum. For the purpose Busan Museum of Modern Art was selected as the sample in this study. And two patterns of exhibition, namely the planar exhibition and the three dimensional exhibition, were surveyed using the tracking movement method. The data gathered from random-sampling 60 visitors in a art museum was analyzed by the correlation analysis and T-test. The results are as follows; 1) There is no meaningful difference in visitors' behavior by the exhibition pattern in terms of their viewing area, viewing time, viewing distance, viewing velocity, viewing rate. 2) In contrast, there is meaningful difference in terms of the number of stops by visitors and the time spent without movement to see the objects; visitors stopped more often and stayed longer within the three dimensional exhibition space than the planar exhibition in a art museum. In sum, visitors extrinsically show no big behavioral difference between the planar exhibition and the three dimensional exhibition, but much difference in the way they communicate with objects; they show more active behavior within the three dimensional exhibition space.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.83-97
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• 2014

With NFC technology, visitors can easily enjoy exhibit-related information and services. The participating firms can accumulate the visitor data and build up networks with potential visitors. This paper is to report an implementation and operation case of an NFC-based exhibition support service which creates new value as above. For this objective, we introduce the issues in constructing NFC-based exhibition support service. Moreover, we analyze visitor behaviors based on the tag touch data collected, and calculate the economic values generated. The NFC-based exhibition support service in this paper was applied to Hyundai Motors' booth in the 2013 Seoul Motor Show. This paper concludes with implications for business operators that are interested in applying NFC technology to exhibition spaces.

• Fashion & Textile Research Journal
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• v.5 no.3
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• pp.244-250
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• 2003

Various types of industry, from manufacturing industry to service industry, can be a subject of exhibition. So, subdivided studies about exhibition for each type of industry or field are necessary. However, there are still insufficient studies about them. Also, fashion industry related exhibitions should be classified differently from other industries' exhibitions because of their special features. Hence, this study examines that how an exhibition is utilized as a promotion means of a company and the present condition of a fashion exhibition. It also compares a fashion exhibition with other industrial exhibitions to suggest the effective operations and the progressive promotion of the fashion exhibition. This study uses questionnaire from 5 companies, which participated fashion related exhibitions. Data of this study is statistically analyzed using SPSS for window ver. 10.0 program. As a result of this study, fashion related companies' recognition of exhibitions has been increased. However, in terms of exhibition participation. attitudes such as pre-promotion or pre-education for the staff, who are in charge of the exhibition booths, and the outcome of the exhibition aren't maximized because the right understanding concerning exhibitions is lacking and long-term preparation is insufficient. Also, advertisement for the exhibitions isn't enough because of insufficient preparation and absence of pre-promotion, so consultation with promising buyers can't be activated. Even though there are consultations, the consultations don't have much effect.

• Management & Information Systems Review
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• v.36 no.4
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• pp.129-148
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• 2017

Conventional exhibition management information systems recommend tourist attractions that are close to the place in which an exhibition is held. Some recommended attractions by the location-based recommendation could be meaningless when nothing is related to the exhibition's topic. Our goal is to recommend attractions that are related to the content presented in the exhibition, which can be coined as content-based recommendation. Even though human exhibition curators can do this, the quality is limited to their manual task and knowledge. We propose an automatic way of discovering attractions relevant to an exhibition of interests. Language resources are incorporated to discover attractions that are more meaningful. Because a typical single machine is unable to deal with such large-scale language resources efficiently, we implemented the algorithm on top of Apache Spark, which is a well-known distributed computing framework. As a user interface prototype, a web-based system is implemented that provides users with a list of relevant attractions when users are browsing exhibition information, available at http://bike.snu.ac.kr/WARP. We carried out a case study based on Korean Tourism Organization Linked Open Data with Korean Wikipedia as a language resource. Experimental results are demonstrated to show the efficiency and effectiveness of the proposed system. The effectiveness was evaluated against well-known exhibitions. It is expected that the proposed approach will contribute to the development of both exhibition and tourist industries by motivating exhibition visitors to become active tourists.