scholarly journals Multi-Criteria Decision-Making Model Evaluating the Performance of Vietnamese Commercial Banks

2017 ◽  
Vol 9 (1) ◽  
pp. 132 ◽  
Author(s):  
Dinh Xuan Cuong ◽  
Hoang Thi Hien ◽  
Tran Long
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Commercial Banks ◽  
Decision Model ◽  
Evaluation Model ◽  
Multi Criteria Decision Making ◽  
Proposed Model ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Research Show

The commercial banks (CBs) performance evaluating has been a necessary problem in currently integration trend and usually implemented by a committee of experts under criteria selected. Therefore, it is considered as a Multi - Criteria Decision - Making model (MCDM). Nowadays, there have been many researches proposing various standards and models to evaluate and rank CBs. But in Vietnam, the number of studies related to the Vietnamese banking evaluation model have still been limited. As a result, this study develops a multi-criteria decision model integrating Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy the Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). The proposed model has evaluated and ranked five Vietnamese commercial banks including CTG, VCB, BIDV, TCB and MB. The paper revealed their ranks. Besides, the results of the research show that the Analytical Hierarchy Process (AHP) model is suitable for applying it to the process evaluating bank performance.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

scholarly journals THE POLYVOCALITY IN ACTION: EMBODYING THE EPIPHANY ON PUBLIC HOUSING CONUNDRUM

2020 ◽  
Vol 8 (4) ◽  
pp. 1396-1417
Author(s):  
Resi Ariyasa Qadri ◽  
Amrie Firmansyah
Keyword(s):  
Decision Making ◽  
Public Housing ◽  
Tacit Knowledge ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Housing Provision ◽  
The Public ◽  
The Government ◽  
Decision Making Model ◽  
Hierarchy Process

Purpose of the study: This paper aims to elaborate on how the institutional logic of public housing provision transforms from the old logic into the new logic. By encapsulating tacit-knowledge from the shift, this study focuses on how to explicate a model of multi-criteria decision-making for executing official residence projects in Indonesia. This research also aims to recuperate the future of the public residency field. Methodology: The methodology employed was a mixed method. The qualitative method was firstly applied by utilizing semi-structured interviews to build a decision-making model. Later, a quantitative method was implemented to improve the consistency of the model by using the Analytical Hierarchy Process protocols. Thirteen project representatives and ten decision-makers were being involved as the main informants. Google Sheets web-based software was applied for analyzing survey results by making use of a mathematical model for the Analytical Hierarchy Process. Main Findings: The result indicates that land not used as paddy field, fair house price, safe from flood location, serene ambiance, and developer experience has played a significant part in affecting buying decisions for residency projects. To carry out the new method, the total scores of the AHP calculation should be above 50. Otherwise, the government shall opt for the old mechanism. Applications of this study: The paper contributes to the public sector accounting field in the area of asset management and public housing procurement. The paper also gives a strong basis for the field to make use of the model of Indonesia's public housing provision. The government can adopt the research framework for choosing the new model or the old one. Novelty/Originality of this study: This study might be the only one of its kind. The research was using a multi-method to achieve the objectives. To generate a multi-criteria decision-making model, grounded data of excessive interviews were abstracted. Then the abstracted tacit-knowledge was tested with AHP to provide a consistent model.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

scholarly journals Applying the Multi-Criteria Decision-Making Approach for Lawyer Selection from Law Firms’ Perspective in China

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1370
Author(s):  
Chin-Tsai Lin ◽  
Ching-Chiang Yeh ◽  
Fan Ye
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Law Firms ◽  
Multi Criteria Decision Making ◽  
Human Resource Managers ◽  
Law Firm ◽  
Analytic Hierarchy ◽  
Resource Managers ◽  
Hierarchy Process

This study proposes a novel evaluation model for lawyer selection incorporating the lawyer’s backbone leadership attitude employing the hybrid multi-criteria decision-making (MCDM) approach. In the proposed approach, the lawyer’s backbone leadership attitude is employed as an evaluation factor in the evaluation model for lawyer selection from law firms’ perspective. In this paper, a hybrid approach based on the Delphi technique and analytic hierarchy process (AHP) is proposed to manage qualitative and quantitative criteria for selecting the best alternative lawyer for law firms in China. Finally, a law firm in China is carried out to verify the feasibility of the proposed approach. Based on the result, the backbone leadership does provide valuable information in the evaluation model for lawyer selection. The results also revealed that the proposed approach would help law firms and human resource managers to understand and develop strategies to hire a lawyer.

scholarly journals Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 363
Author(s):  
Ran Li ◽  
Tao Sun
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Literature Survey ◽  
Multi Criteria Decision Making ◽  
The Core ◽  
Business To Consumer ◽  
Main Factors ◽  
Hierarchy Process

The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.

scholarly journals SELECTING THE OPTIMAL RENEWABLE ENERGY USING MULTI CRITERIA DECISION MAKING

2013 ◽  
Vol 14 (5) ◽  
pp. 957-978 ◽  
Author(s):  
Abdolreza Yazdani-Chamzini ◽  
Mohammad Majid Fouladgar ◽  
Edmundas Kazimieras Zavadskas ◽  
S. Hamzeh Haji Moini
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Criteria ◽  
Energy Resources ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Proposed Model ◽  
Negative Ideal Solution ◽  
Hierarchy Process ◽  
The Ideal

Renewable energies are well-known as one of the most important energy resources not only due to limited other energy resources, but also due to environmental problems associated with air pollutants and greenhouse gas emissions. Renewable energy project selection is a multi actors and sophisticated problem because it is a need to incorporate social, economic, technological, and environmental considerations. Multi criteria decision making (MCDM) methods are powerful tools to evaluate and rank the alternatives among a pool of alternatives and select the best one. COPRAS (COmplex PRoportional ASsessment) is an MCDM technique which determines the best alternative by calculating the ratio to the ideal solution and the negative ideal solution. On the other hand, analytical hierarchy process (AHP) is widely used in order to calculate the importance weights of evaluation criteria. In this paper an integrated COPRAS-AHP methodology is proposed to select the best renewable energy project. In order to validate the output of the proposed model, the model is compared with five MCDM tools. The results of this paper demonstrate the capability and effectiveness of the proposed model in selecting the most appropriate renewable energy option among the existing alternatives.

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