Developing a Decision Model for Selecting the Scripts of Trendy Taiwanese Dramas

2020 ◽  
Vol 11 (4) ◽  
pp. 39-51
Author(s):  
Pi-Fang Hsu ◽  
Hua-Lin Yang
Keyword(s):  
Analytic Hierarchy Process ◽  
Subject Matter ◽  
Delphi Method ◽  
Decision Model ◽  
Analytic Hierarchy ◽  
Modified Delphi ◽  
Evaluative Criteria ◽  
Proposed Model ◽  
The Subject ◽  
Hierarchy Process

The script of a drama is key to achieving an outstanding performance. This study develops a new model for selecting the scripts of Taiwanese dramas based on the production manager's perceptions. First, the proposed model adopts the modified delphi method to determine suitable evaluative criteria for the scripts of contemporary Taiwanese dramas. Next, the model applies the analytic hierarchy process (AHP) to determine the relative weights of evaluative criteria, thereafter rating the alternatives and selecting the best script. Additionally, a Taiwanese company is used how the scripts of Taiwanese dramas can be selected using this model. The results indicate that important criteria, in order of important, are characteristics of the story, the subject matter of the script, the meaning of the words, and the scriptwriter. The proposed model helps companies to effectively select the scripts of Taiwanese dramas, making it highly applicable for academia and commerce.

An Endorsement Selection Model for Sports Celebrities in China

2018 ◽  
Vol 10 (2) ◽  
pp. 1-13
Author(s):  
Pi-Fang Hsu ◽  
Chia-Hui Hsu
Keyword(s):  
Analytic Hierarchy Process ◽  
Delphi Method ◽  
Analytic Hierarchy ◽  
Modified Delphi ◽  
Proposed Model ◽  
Target Company ◽  
Sporting Goods ◽  
Hierarchy Process ◽  
Celebrity Endorsers ◽  
Selection Of

Celebrity endorsement is a critical and positive commercial promotional tool. With the increasing number of international sports celebrities, many sporting and non-sporting goods companies use such celebrities to promote their products. This study develops a model for selecting sports celebrity endorsers. A Chinese sporting brand company is the target of this study. The proposed model adopts the modified Delphi method to identify suitable criteria and applies the analytic hierarchy process (AHP) to determine the criteria's relative weights. The selected company exemplifies how the model can guide the selection of sports celebrity endorsers. The model ranks the importance to the target company of five criteria: trustworthiness, match-up, attractiveness, risk and expertise. The proposed model allows the company to select sports celebrity endorsers effectively, and contributes to academia and commerce.

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

2014 ◽  
Vol 6 (3) ◽  
pp. 30-42
Author(s):  
Pi-Fang Hsu ◽  
Chia-Wen Tsai ◽  
Kun-Chung Chen
Keyword(s):  
Sensitivity Analysis ◽  
Delphi Method ◽  
Research Model ◽  
Weight Changes ◽  
Analytic Hierarchy ◽  
New Host ◽  
Modified Delphi ◽  
Evaluative Criteria ◽  
Proposed Model ◽  
Hierarchy Process

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.

Optimal Selection of Korean Dramas for Commercial TV Stations in Taiwan by Using the AHP

2013 ◽  
Vol 5 (2) ◽  
pp. 14-24 ◽  
Author(s):  
Pi-Fang Hsu ◽  
Shu-Yu Lin ◽  
Chia-Wen Tsai
Keyword(s):  
Delphi Method ◽  
Optimal Selection ◽  
Analytic Hierarchy ◽  
Modified Delphi ◽  
Evaluative Criteria ◽  
Advertising Budget ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Model Apply ◽  
Selection Of

This study develops a model for selecting Korean dramas based on TV station manager’s perceptions. First, the proposed model adopts the modified Delphi method to find out the suitable evaluative criteria of Korean dramas. Next, the model apply the analytic hierarchy process (AHP) to determine the relative weights of evaluative criteria, then ranks the alternatives and selects the best Korean dramas. Additionally, a famous Taiwanese commercial TV station is used here in as an example of how a Korean dramas can be selected using this model. The results indicated that concerns think highly of criteria in order are drama content perspective, cast perspective, advertising budget perspective, foreign data of origin perspective. The proposed model helps commercial TV to effectively select Korean dramas, making it highly applicable for academia and commerce.

scholarly journals Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2540
Author(s):  
Yu-Jwo Tao ◽  
Hsuan-Shih Lee ◽  
Chang-Shu Tu
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Primary Objective ◽  
Fuzzy Linear Programming ◽  
Purchase Decision ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Ground Handling ◽  
Equipment Supplier ◽  
Hierarchy Process

The Airport ground handling services (AGHS) equipment supplier provider selection requires a safety guarantee in terms of the daily operations AGHS provider. AGHS providers seek to avoid aircraft damage and airline delays and ensure the provision of reliable and high-quality services. The primary objective of this paper was to develop purchasing decision model of the analytic hierarchy process (AHP), AHP-fuzzy linear programming (FLP), and AHP-Taguchi loss function (TLF) multi-choice goal programming (MCGP) purchase decision models to help the AGHS purchasing managers in selecting the best AGHS equipment supplier provider. The constructed models were assessed, and results obtained for the AHP-FLP and AHP-TLF-MCGP models were compared. We conducted a real-world example of supplier selection by an AGHS company by using the proposed models. The proposed model provides useful information and has practical value for AGHS providers.

Developing and Implementing a Model for Selecting Videos for City Marketing

2012 ◽  
Vol 3 (4) ◽  
pp. 50-64 ◽  
Author(s):  
Pi-Fang Hsu ◽  
Chia-Wen Tsai ◽  
Sheng-Weng Doong
Keyword(s):  
Sensitivity Analysis ◽  
Local Government ◽  
Analytic Hierarchy Process ◽  
Delphi Method ◽  
City Marketing ◽  
Analytic Hierarchy ◽  
Modified Delphi Method ◽  
Modified Delphi ◽  
Criterion Weight ◽  
Hierarchy Process

This study develops a model for selecting videos for city marketing. First, Modified Delphi Method was used to find suitable criteria to evaluate videos of city marketing. Next, Analytic Hierarchy Process (AHP) was used to determine the relative weights of the criteria. A local government in Taiwan is used as an example of how videos for city marketing can be selected with this model. Furthermore, this study found that there is a gap in the weights of criteria identified between operators and governments. Finally, this study used sensitivity analysis to survey the criterion weight of the degree of influence with an alternative hierarchy, making it applicable for academia and commerce.

A Decision Model for Cognitive Task Allocation

1993 ◽  
Vol 37 (4) ◽  
pp. 392-396
Author(s):  
Sotiris A. Papantonopoulos ◽  
Gavriel Salvendy
Keyword(s):  
Analytic Hierarchy Process ◽  
Task Allocation ◽  
Task Analysis ◽  
Decision Model ◽  
Cognitive Task ◽  
Analytic Hierarchy ◽  
Performance Requirements ◽  
Resource Matching ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Cognitive task allocation employs task analysis to identify the performance and operational requirements of task functions; and demand/resource matching to match the identified requirements and the human and computer resources available for implementation. The current methodologies of cognitive task allocation are either too aggregate to provide adequate resolution of performance requirements or domain-specific and thus of limited applicability. The paper introduces a formal, quantitative, and domain-independent model of cognitive task allocation aimed at reducing the limitations inherent in the currently practiced methodologies. Demand/resource matching is modeled as an Analytic Hierarchy Process. The Analytic Hierarchy Process of Demand/Resource Matching is defined as a mapping process along a four-level Analytic Hierarchy. By means of the Analytic Hierarchy Process, a task function (Level 1 of the Analytic Hierarchy) is analyzed into its cognitive processes (Level 2); performance criteria are set for each cognitive process (Level 3) by means of which the capacities of the human, computer, or interactive human/computer controller (Level 4) are evaluated and compared. The Analytic Hierarchy Process then integrates judgements of human and computer abilities and limitations into a weighted average indicating the relative capacity of human and computer to perform this function. This assessment of relative merit of performance can hence be integrated with work design, economic, and other contextual factors towards the final allocation design. The Analytic Hierarchy Process was applied and evaluated in the design of task allocation in production planing and control of a flexible manufacturing system by comparing the allocation designs of two groups of subjects. One group was supported by the decision model, the other received no decision support. The observed differences between the two groups indicated that the decision model can effectively support detailed task analysis and an adequate resolution of performance requirements; the identification of the design, trade-offs between human allocation and automation; and provide the computational resources to reduce decision bias.

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