Research Article Open Access

Construction of Decision-Making Model to Select Incentive Tour Travel Agencies

Han-Chen Huang1, Pei-Ying Wu1, Su-Ling Wu2 and Chin-Yuan Wu2
  • 1 Department of Tourism and MICE, Chung Hua University, Taiwan
  • 2 Department of Leisure Management, Yu Da University of Science and Technology, Taiwan

Abstract

Incentive Tour is a business trip that aims to enhance corporate cohesion, reinforce corporate culture and develop or strengthen the market. The subjects include employees, suppliers, distributors, etc. The Incentive Tour of enterprises is different from general group tours and becomes one of the mainstream methods to stimulate employees. However, few studies probed into the manipulation of the Incentive Tour from the perspective of enterprises. Therefore, in terms of demand, this study explores the construction of a decision-making model to select Incentive Tour travel agencies. The subjects were the persons in charge of travel agencies with an Incentive Tour department, as well as the main business of Incentive Tour and enterprises that have experience with Incentive Tour. An expert questionnaire survey was conducted and data were analyzed by the Analytic Hierarchy Process (AHP). According to the findings, among the factors to select Incentive Tour travel agencies, specialty of the team and activity planning are the most important factors, followed by food planning, hotel planning and transportation planning. The findings can serve as reference for enterprises when selecting Incentive Tour travel agencies.

American Journal of Applied Sciences
Volume 12 No. 10, 2015, 714-722

DOI: https://doi.org/10.3844/ajassp.2015.714.722

Submitted On: 7 August 2015 Published On: 22 October 2015

How to Cite: Huang, H., Wu, P., Wu, S. & Wu, C. (2015). Construction of Decision-Making Model to Select Incentive Tour Travel Agencies. American Journal of Applied Sciences, 12(10), 714-722. https://doi.org/10.3844/ajassp.2015.714.722

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Keywords

  • Incentive Tour
  • Travel Agencies
  • Modified Delphi Method
  • Analytic Hierarchy Process