EconPapers    
Economics at your fingertips  
 

Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

Wen-Tsung Wu () and Chie-Bein Chen ()

Business and Economic Research, 2017, vol. 7, issue 1, 100-113

Abstract: This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

Keywords: Cultural and creative industry; Network analysis; Public art; Decision analysis; Curator (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.macrothink.org/journal/index.php/ber/article/view/10905/8724 (application/pdf)
http://www.macrothink.org/journal/index.php/ber/article/view/10905 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mth:ber888:v:7:y:2017:i:1:p:110-113

Access Statistics for this article

Business and Economic Research is currently edited by Daisy Young

More articles in Business and Economic Research from Macrothink Institute
Bibliographic data for series maintained by Technical Support Office ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-19
Handle: RePEc:mth:ber888:v:7:y:2017:i:1:p:110-113