Developing a decision model for brand naming using Delphi method and analytic hierarchy process

2013 ◽  
Vol 25 (2) ◽  
pp. 187-199 ◽  
Author(s):  
Pi‐Fang Hsu ◽  
Fang‐Lei Lin
Keyword(s):  
Analytic Hierarchy Process ◽  
Delphi Method ◽  
Decision Model ◽  
Analytic Hierarchy ◽  
Hierarchy Process

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.

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.

Diminishing Utility Decision Model for Weighting Criteria

2015 ◽  
Vol 14 (06) ◽  
pp. 1263-1284 ◽  
Author(s):  
Jih-Jeng Huang ◽  
Masahiro Inuiguchi
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Marginal Utility ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Numerical Examples ◽  
Absorbing State ◽  
Network Process ◽  
Diminishing Marginal Utility ◽  
Hierarchy Process

The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.

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.

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