Open AccessApplying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions
Author(s) -
Wen-Tsung Wu,
ChieBein Chen
Publication year - 2017
Publication title -
business and economic research
Language(s) - English
Resource type - Journals
ISSN - 2162-4860
DOI - 10.5296/ber.v7i1.10905
Subject(s) - exhibition , destinations , scale (ratio) , investment (military) , selection (genetic algorithm) , business , process (computing) , marketing , computer science , tourism , geography , visual arts , politics , political science , art , cartography , archaeology , artificial intelligence , law , operating system
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.