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

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  • Wen-Tsung Wu
  • Chie-Bein Chen

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.

Suggested Citation

  • Wen-Tsung Wu & Chie-Bein Chen, 2017. "Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions," Business and Economic Research, Macrothink Institute, vol. 7(1), pages 100-113, June.
    • Handle: RePEc:mth:ber888:v:7:y:2017:i:1:p:110-113
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    References listed on IDEAS

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    1. De Reyck, Bert & Degraeve, Zeger & Vandenborre, Roger, 2008. "Project options valuation with net present value and decision tree analysis," European Journal of Operational Research, Elsevier, vol. 184(1), pages 341-355, January.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    More about this item

    Keywords

    Cultural and creative industry; Network analysis; Public art; Decision analysis; Curator;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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