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Optimizing the Host of a Travel Program for Commercial TV Stations by Using the AHP and Sensitivity Analysis

Optimizing the Host of a Travel Program for Commercial TV Stations by Using the AHP and Sensitivity Analysis

Pi-Fang Hsu, Chia-Wen Tsai, Kun-Chung Chen
Copyright: © 2014 |Volume: 6 |Issue: 3 |Pages: 13
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466653658|DOI: 10.4018/ijdsst.2014070102
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MLA

Hsu, Pi-Fang, et al. "Optimizing the Host of a Travel Program for Commercial TV Stations by Using the AHP and Sensitivity Analysis." IJDSST vol.6, no.3 2014: pp.30-42. http://doi.org/10.4018/ijdsst.2014070102

APA

Hsu, P., Tsai, C., & Chen, K. (2014). Optimizing the Host of a Travel Program for Commercial TV Stations by Using the AHP and Sensitivity Analysis. International Journal of Decision Support System Technology (IJDSST), 6(3), 30-42. http://doi.org/10.4018/ijdsst.2014070102

Chicago

Hsu, Pi-Fang, Chia-Wen Tsai, and Kun-Chung Chen. "Optimizing the Host of a Travel Program for Commercial TV Stations by Using the AHP and Sensitivity Analysis," International Journal of Decision Support System Technology (IJDSST) 6, no.3: 30-42. http://doi.org/10.4018/ijdsst.2014070102

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Abstract

This study develops a model for selecting a host for a travel show. First, the proposed model adopts the “Modified Delphi Method” to find out suitable criteria to evaluative hosts of travel shows. Next, the research model applies the “Analytic Hierarchy Process (AHP)” to determine the relative weights of the evaluative criteria, and then ranks the alternatives and selects the optimum host for a travel show. Additionally, a well-known Taiwanese TV station is taken as an example, to demonstrate how a new host of a travel show is selected by applying this model. The results indicate that managers of commercial TV stations rank criteria in the following order of importance: “Image”, “Viewpoint from production”, “Professional skills”, and “Personal conditions”. Eventually, using the sensitivity analysis to test criteria when assessing factors of weight changes and how about the other assessment factors.

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