scholarly journals Multi-Criteria Analysis of Green Bonds: Hybrid Multi-Method Applications

2021 ◽  
Vol 13 (19) ◽  
pp. 10512
Author(s):  
Antonio Lombardi Netto ◽  
Valerio Antonio Pamplona Salomon ◽  
Miguel Angel Ortiz Barrios
Keyword(s):  
Research Question ◽  
Ratio Analysis ◽  
Financial Indicators ◽  
Yale University ◽  
Analytic Hierarchy ◽  
Environmental Performance Index ◽  
Order Preference ◽  
Hierarchy Process ◽  
Consistency Method ◽  
The Ideal

There is an increasing pressure by the community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was created. Our research question is “How to select bonds in a growing billion-dollar market?” This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic hierarchy process (AHP), complex proportional assessment (COPRAS), full consistency method (FUCOM), step-wise Weights Assessment Ratio Analysis (SWARA), and technique of order preference similarity to the ideal solution (TOPSIS) are MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new ranks from MCDA are compared each other and compared with the rank published by specialized media.

scholarly journals Multi-Criteria Analysis of Green Bonds: A Hybrid Ahp–Copras Application

2021 ◽  
Author(s):  
Antonio Lombardi Netto ◽  
Valerio Antonio Pamplona Salomon ◽  
Miguel Ortiz-Barrios
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Index ◽  
Environmental Performance ◽  
Research Question ◽  
Environmental Concerns ◽  
Financial Indicators ◽  
Yale University ◽  
Analytic Hierarchy ◽  
Environmental Performance Index ◽  
Hierarchy Process

There is an increasing pressure by community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was incepted. Our research question is how to select bonds in a growing billion-dollar market. This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic Hierarchy Process (AHP) and Complex Proportional Assessment (COPRAS) are two MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new AHP–COPRAS rank is compared with another published by specialized media.

Comprehensive Decision-Making Model for the Evaluation of Sustainable Products

2014 ◽  
Vol 644-650 ◽  
pp. 5532-5537
Author(s):  
Chang Chun Zhou ◽  
Xiu Fen Zhao ◽  
Cong Ying Deng ◽  
Li Liu ◽  
Zhi Hong Dong ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Environmental Issues ◽  
Evaluation Procedure ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Sustainable Products ◽  
Order Preference ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
The Ideal

Environmental issues have been receiving an increasing amount of attention. However, evaluating sustainable products is a challenging task. A comprehensive approach to evaluate sustainable products based on life cycle assessment strategy is proposed in this study. The evaluation procedure is based on the combination of analytic hierarchy process (AHP) and the technique for order preference by similarity to the ideal solution (TOPSIS) method. A sample evaluation for disposable coffee cups is provided to illustrate the comprehensive evaluation of sustainable products.

Multiple Criteria Inventory Classification in an Electronics Firm

2017 ◽  
Vol 16 (02) ◽  
pp. 315-331 ◽  
Author(s):  
Feyzan Arikan ◽  
Senay Citak
Keyword(s):  
Classification Problem ◽  
Multiple Criteria ◽  
Vital Activity ◽  
Interactive Approach ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Abc Analysis ◽  
Reliable Classification ◽  
Hierarchy Process ◽  
The Ideal

Efficient inventory classification is a vital activity for electronics firms that work with a large amount of inventory items. Although one of the most widely used techniques in inventory classification is ABC analysis, this technique considers only a single criterion as the annual sales volume of each item. In practice, inhomogeneity and the differences among the inventory items necessitate considering multiple criteria to obtain a reliable classification. In this study, an integrated process of the analytic hierarchy process (AHP)-The technique for order preference by similarity to the ideal solution (TOPSIS)-ABC approach is proposed and performed to solve the multiple criteria inventory classification problem in an electronics firm. The steps of the interactive approach are programmed using MATLAB. The results of the integrated interactive approach and of the traditional ABC analysis are presented. The proposed approach gives effective and implementable results for the firm.

Sistem Pendukung Keputusan Pemilihan Bibit Padi Berkualitas Dengan Metode AHP Dan Topsis

2021 ◽  
Vol 10 (2) ◽  
pp. 162-169
Author(s):  
Istna Mar`atul Khusna ◽  
Novita Mariana
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process

Abstrak— Bibit merupakan salah satu penentu dalam keberhasilan budidaya tanaman padi. Budidaya tanaman padi dimulai dari memilih bibit tanaman yang berkualitas karena bibit termasuk objek utama yang dikembangkan pada budidaya selanjutnya. Bibit sebagai pembawa gen dari induknya yang akan menentukan sifat dari tanaman setelah berproduksi dan untuk mendapatkan bibit padi yang berkualitas dapat diperoleh dari memilih dan menentukan bibit yang berasal dari induk berkualitas. Kualitas bibit merupakan kunci keberhasilan dalam budidaya padi. Bibit yang berkualitas mampu beradaptasi, memiliki pertumbuhan yang cepat serta seragam, tumbuh lebih cepat, tahan hama dan tinggi nilai produktivitasnya. Untuk mendapatkan bibit padi berkualitas, petani sering mengalami kesulitan. Berdasarkan kesulitan yang dialami petani, maka akan dibangun sebuah sistem pendukung keputusan untuk membantu petani memutuskan bibit yang akan ditanam sesuai dengan kondisi lingkungan tanam dengan mempertimbangkan beberapa aspek kriteria. Dalam mengatasi masalah pemilihan bibit padi tersebut dibuat sebuah program sistem pendukung keputusan agar memudahkan informasi dan rekomendasi kepada petani padi tentang bibit yang berkualitas. Dengan menggunakan dua metode yaitu Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penentuan bobot kriteria dilakukan dengan menggunakan metode Analytic Hierarchy Process (AHP), sedangkan untuk tahap perankingan dikerjakan dengan menggunakan metode TOPSIS. Hasil yang didapatkan dari penelitian ini adalah padi berkualitas dari lima alternatif yang sudah ditetapkan, yaitu: Sunggal, Inpari32, Ciherang, IR64, Situbagendit. Sistem menghasilkan nilai preferensi tertinggi yaitu 0,858 pada padi Sunggal di urutan pertama dan  0,767 pada padi Inpari32 diurutan kedua. Jadi dari hasil penelitian ini, peneliti merekomendasikan bibit padi berkualitas yang cocok ditanam di di desa sambongbangi yaitu Sunggal dan Inpari32..Kata Kunci : Bibit Padi, DSS, TOPSIS, AHP, Kualitas Bibit Padi

scholarly journals Effectiveness Evaluation of “Five Chain” Integration of State Grid Corporation of China Based on TOPSIS Method

2021 ◽  
Vol 236 ◽  
pp. 04016
Author(s):  
Tang Guangrui ◽  
Zhang Yong ◽  
Chang Yan
Keyword(s):  
Value Chain ◽  
Capital Investment ◽  
Technological Progress ◽  
Power Grid ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Strategic Objectives ◽  
Order Preference ◽  
Relationship Of ◽  
Hierarchy Process

Under the guidance of the new strategic objectives of the power grid company, it is necessary to inject innovative vitality into personnel training, capital investment, and technological progress in order to achieve the goal of increasing the value of power grid companies. This paper analyzes the coupling relationship of “innovation chain, talent chain, technology chain, capital chain and value chain”, and establishes the evaluation index system of “five chain” integration effectiveness. Then, the traditional Analytic Hierarchy Process (AHP) is improved, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model is constructed. Finally, three provincial power grid companies are selected for example analysis, and the innovation effectiveness ranking of each company is obtained, which verifies the effectiveness of the model proposed in this paper.

scholarly journals Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 251 ◽  
Author(s):  
Ying-Chyi Chou ◽  
Hsin-Yi Yen ◽  
Van Thac Dang ◽  
Chia-Chi Sun
Keyword(s):  
Human Resource ◽  
Fuzzy Ahp ◽  
Science And Technology ◽  
Fuzzy Topsis ◽  
Southeast Asian ◽  
Asian Countries ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process ◽  
Southeast Asian Countries

The fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are extremely beneficial when a decision-making process is complex. The reason is that AHP and TOPSIS can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria and can thus generate an overall ranking of the alternatives. This study uses fuzzy AHP and fuzzy TOPSIS to evaluate the human resource in science and technology (HRST) performance of Southeast Asian countries. The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance. That is, these three countries have better HRST performances than other Southeast Asian countries.

Strategic Outsourcing to Cloud Computing

2020 ◽  
Vol 10 (1) ◽  
pp. 11-27
Author(s):  
Abdelwahhab SATTA ◽  
Sihem Mostefai
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Business Strategy ◽  
Core Competencies ◽  
Analytic Hierarchy ◽  
Legitimate Business ◽  
Strategic Outsourcing ◽  
Process Methodology ◽  
Hierarchy Process ◽  
The Ideal

A common misperception about cloud computing remains that it represents the ideal solution for outsourcing non-core competencies and a simple maneuver that drives costs down. However, the reality may be the complete opposite. The cloud paradigm changes several processes, patterns, practices, and philosophies; so, while the cloud adoption must be considered as a legitimate business strategy, its decision must also be made with a great deal of care. The purpose of this work is to provide organizations with a practical framework for decision-making about the cloud paradigm adoption, as a strategic outsourcing solution. This framework defines the guidelines to map the outsourcing to cloud computing to a comprehensive multi-criteria-decision-making (MCDM) problem, and relies on the analytic hierarchy process methodology providing both simplicity and mathematical rigor to resolve it. The framework is policy-centric and takes account of the organization's contexts, as it is also built on cloud standards and best practices.

Optimal Cloud-Path Selection in Mobile Cloud Offloading Systems Based on QoS Criteria

2013 ◽  
Vol 5 (4) ◽  
pp. 30-47 ◽  
Author(s):  
Huaming Wu ◽  
Qiushi Wang ◽  
Katinka Wolter
Keyword(s):  
Historical Data ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
Path Selection ◽  
Cloud Services ◽  
Analytic Hierarchy ◽  
Fuzzy Environment ◽  
Order Preference ◽  
Hierarchy Process

Recently, there emerge a variety of clouds in sky and thus, several similar cloud services (from different cloud venders) can be provided to a mobile end device. The goal of cloud-path selection is to find an optimal cloud-path pair between the mobile device and a cloud among a certain class of clouds that provide the same service, in order to carry out the offloaded computation tasks. It is easy to choose the optimal cloud-path to save execution time incurred by offloading program to cloud when considering only one factor. However, there are many Quality of Service (QoS)-based criteria such as performance, bandwidth, financial, security and availability that need to be considered when making final decisions. In this paper, a multiple criteria decision analysis approach based on the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) in a fuzzy environment is proposed to decide which cloud is the most suitable one for offloading. The AHP is used to determine the weights of the criteria for cloud-path selection, while fuzzy TOPSIS is to obtain the final ranking of alternative clouds. The numerical analysis is performed to evaluate the model. Furthermore, a method based on historical data of the mobile device’s experiences is used to evaluate the importance weights of the alternative cloud service, when it is challenge to measure and acquire the parameters of criteria timely in practical systems.

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