scholarly journals A Hybrid Program Projects Selection Model for Nonprofit TV Stations

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Kuei-Lun Chang
Keyword(s):  
Balanced Scorecard ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process ◽  
Order Preference ◽  
Hybrid Program ◽  
Corporate Social

This study develops a hybrid multiple criteria decision making (MCDM) model to select program projects for nonprofit TV stations on the basis of managers’ perceptions. By the concept of balanced scorecard (BSC) and corporate social responsibility (CSR), we collect criteria for selecting the best program project. Fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Next, considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain the weights of them. To avoid calculation and additional pairwise comparisons of ANP, technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives. A case study is presented to demonstrate the applicability of the proposed model.

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Sen-Kuei Liao ◽  
Hsiao-Yin Hsu ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Fitness Centers ◽  
Location Selection ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process

Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women’s fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

Quantification of Corporate Performance Using Fuzzy Analytic Network Process

2014 ◽  
pp. 385-413
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Performance Measurement ◽  
Balanced Scorecard ◽  
Business Processes ◽  
Measurement Model ◽  
Analytic Network Process ◽  
Future Performance ◽  
Proposed Model ◽  
Network Process ◽  
Multi Attribute Decision Making ◽  
Definition Of

Performance Measurement (PM) is a combination of a company’s characteristics that can be numerically expressed. The aim of the PM is to provide feedback about the success of current activities and give insight about future performance. Performance of a company depends on its vision and goals so the definition of performance can vary with time. While PM literature provides various models for PM, the most accepted model is Balanced ScoreCard (BSC). BSC supplies four inter-related perspectives that the companies can identify as indicators for performance. These perspectives are: financial, internal business processes, customer, and learning and growth perspectives. In this study, PM is formulated as a Multi Attribute Decision Making (MADM) problem and a Fuzzy Analytical Network Process (FANP) based performance measurement model is proposed. The performance measurement criteria are built based on four perspectives of BSC. The proposed model utilizes FANP in order to determine the relative importance of perspectives and indicators. The performance scores for each indicator are determined based on the predefined goals and these scores are aggregated to reach an overall performance score.

Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach

2008 ◽  
Vol 12 (4) ◽  
pp. 13-22 ◽  
Author(s):  
Mohd. Nishat Faisal ◽  
Bilal Mustafa Khan
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Advertising Agency ◽  
Product Service ◽  
Proposed Model ◽  
Network Process ◽  
Product Personality ◽  
Mcdm Method

Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.

Evaluation of the Consumer Interaction Capability of the Virtual Brand Community of Chinese Mobile Internet Enterprises Based on the Hybrid MCDM Method

2020 ◽  
Vol 19 (04) ◽  
pp. 2050034
Author(s):  
Chu Sun
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Mobile Internet ◽  
Brand Community ◽  
Proposed Model ◽  
Network Process ◽  
The Status ◽  
Promethee Method ◽  
Client Needs

E-commerce has grown considerably with increasing access to the Internet. As a means of e-commerce, the virtual brand community (VBC) has become one of the important channels for brand enterprises to promote products, enhance brand awareness and compete with enterprises in the digital economy. The most important task of any website is the provision of tailored information and services to satisfy client needs. This research aimed to evaluate the status of websites and services provided by Chinese mobile internet enterprises. Based on the Fogg behaviour model, initial criteria and sub-criteria were constructed, and a new hybrid multiple criteria decision-making (MCDM) model was used in this study that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique and the analytic network process (ANP) method to determine the interaction between factors and to determine the weight of each factor. Finally, the PROMETHEE method was utilised to rank and develop the consumer interaction capability of the VBC of Chinese mobile internet enterprises. Once these perceptions were captured, among the three criteria determined for the evaluation of the VBC of different mobile internet enterprises, affective involvement was the most important criterion, followed by motivation and environment triggers. Moreover, the VBCs of three communication enterprises were evaluated and ranked to validate the proposed model.

scholarly journals OTAs Selection for Hot Spring Hotels by a Hybrid MCDM Model

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Sen-Kuei Liao ◽  
Hsiao-Yin Hsu ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Hot Spring ◽  
Economic Value ◽  
Analytic Network Process ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Travel Agencies ◽  
Network Process ◽  
Online Travel ◽  
Online Travel Agencies

Tourism has been identified as one of the sectors that will contribute to Taiwan’s economic development. Online travel agencies’ role in producing economic value in the hospitality industry continues to grow. The hotel industry is used in this study as the research context to help managers of hot spring hotels select the optimal online travel agencies (OTAs) using a hybrid multi-criteria decision-making (MCDM) model. The aim of this paper is threefold: first, to obtain selection criteria for OTAs based on the fuzzy Delphi method; second, to extract interdependencies between the perspectives using decision making trial and evaluation laboratory (DEMATEL); and third, according to interdependencies between the perspectives, to rank the alternatives by analytic network process (ANP). Based on the proposed model, a real-world company was conducted and demonstrated OTAs selection problem; the results demonstrated the proficiencies and effectiveness of this model.

Quantification of Corporate Performance Using Fuzzy Analytic Network Process

2017 ◽  
pp. 606-637 ◽  
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Performance Measurement ◽  
Balanced Scorecard ◽  
Business Processes ◽  
Measurement Model ◽  
Analytic Network Process ◽  
Future Performance ◽  
Proposed Model ◽  
Network Process ◽  
Multi Attribute Decision Making ◽  
Definition Of

Performance Measurement (PM) is a combination of a company's characteristics that can be numerically expressed. The aim of the PM is to provide feedback about the success of current activities and give insight about future performance. Performance of a company depends on its vision and goals so the definition of performance can vary with time. While PM literature provides various models for PM, the most accepted model is Balanced ScoreCard (BSC). BSC supplies four inter-related perspectives that the companies can identify as indicators for performance. These perspectives are: financial, internal business processes, customer, and learning and growth perspectives. In this study, PM is formulated as a Multi Attribute Decision Making (MADM) problem and a Fuzzy Analytical Network Process (FANP) based performance measurement model is proposed. The performance measurement criteria are built based on four perspectives of BSC. The proposed model utilizes FANP in order to determine the relative importance of perspectives and indicators. The performance scores for each indicator are determined based on the predefined goals and these scores are aggregated to reach an overall performance score.

scholarly journals An Integrated Hybrid MCDM Approach for Vendor Selection Problem (Case Study: Iran Khodro)

2013 ◽  
Vol 1 (1) ◽  
pp. 153 ◽  
Author(s):  
Massoud Kassaee ◽  
Mojtaba Farrokh ◽  
Hassan Hosseini Nia
Keyword(s):  
Decision Making ◽  
Uncertain Data ◽  
Analytic Network Process ◽  
Selection Problem ◽  
Vendor Selection ◽  
Structural Relationships ◽  
Proposed Model ◽  
Network Process ◽  
Topsis Technique

Vendor selection is an important issue in most company based on many criteria that includes ambiguous or uncertain data. Therefore in the study, it is essential that fuzzy approach is employed for coping with the uncertainty and achieving more accurate results. In other hand, the relationships between criteria and sub-criteria are complex; for encompassing the complexity, most conventional decision models cannot help us explain the interrelationships among the criteria. In this paper, a hybrid multi-criteria decision making (MCDM) technique is proposed to determine the structural relationships and the interrelationships among all the evaluation’s dimensions based the Analytic Network Process (ANP) method determining appropriate weightings to each sub-criterion. Then alternatives priority should be determined which can aid the decision making. For the purpose, The TOPSIS (technique for order performance by similarity to idea solution) is used to rank all competing alternatives in terms of their overall performances. In MCDM studies and research, applying TOPSIS in ranking alternatives has recently been customary because of its advantages. In the end, a case study of an Iranian company, in automotive industry, is demonstrated to illustrate the proposed model can improve solving of vendor selection problem.

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