Soheil Azizi; Reza Rasinojehdehi
Abstract
This paper introduces a novel approach to stakeholder prioritization by employing Data Envelopment Analysis (DEA). The study utilizes five key criteria-stakeholder power, urgency, legitimacy, level of involvement, and project impact-to quantitatively evaluate stakeholder efficiency. DEA models tailored ...
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This paper introduces a novel approach to stakeholder prioritization by employing Data Envelopment Analysis (DEA). The study utilizes five key criteria-stakeholder power, urgency, legitimacy, level of involvement, and project impact-to quantitatively evaluate stakeholder efficiency. DEA models tailored for each stakeholder are applied, yielding a comprehensive prioritization depicted in numerical form. The methodology showcased in this research harnesses the versatility of DEA in stakeholder analysis. The resulting prioritization aids project managers in strategic decision-making, offering valuable insights to enhance project success and minimize negative impacts. This paper contributes a practical and effective tool for project managers seeking to optimize stakeholder engagement and project outcomes.
Seyed Esmaeil Najafi; Mir Bahador Aryanezhad; Farhad Hosseinzadeh Lotfi; Seyyed Asghar Ebnerasoul
Abstract
Measuring the performance of a production system has been an important task in management for control, planning, etc. The Balanced Scorecard (BSC) allows us to do just that. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the Key ...
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Measuring the performance of a production system has been an important task in management for control, planning, etc. The Balanced Scorecard (BSC) allows us to do just that. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the Key Performance Indicators (KPIs) of 4 perspectives-financial, customer, internal process, and learning and growth. Conversely, traditional studies in Data Envelopment Analysis (DEA) view systems as a whole when measuring efficiency, ignoring the operation of individual processes within a system. We present and demonstrate a multi-criteria approach for evaluating every project in different stages. Our approach integrates the BSC and DEA and develops an extended DEA model. The input and output measures for the integrated DEA-BSC model are grouped in “cards,” which are associated with "BSC". With efficiency decomposition, the process that causes the inefficient operation of the system can be identified for future improvement. Finally, we illustrate the proposed approach with a case study involving six banking branches.
Mohammad Reza Mozaffari; Sahar Ostovan
Abstract
Data envelopment analysis based on mathematical programming for decision-making units determines the efficiency score in addition to the projection of inefficient DMUs on the efficient frontier. Centralized Allocation Resource (CRA) with a two-stage linear programming model captures the projection of ...
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Data envelopment analysis based on mathematical programming for decision-making units determines the efficiency score in addition to the projection of inefficient DMUs on the efficient frontier. Centralized Allocation Resource (CRA) with a two-stage linear programming model captures the projection of DMUs on the efficient frontier. But since the input and output vectors of each DMU in the DEA are crucial, they may be random data that follow a particular distribution. Hence, many applied studies face random data. This paper shows a two-stage supply chain with random data and the CRA model with ratio data has been used to calculate the projection of DMUs. In the end, the supply chain of 11 Iranian Airlines with random data during the period of 2011-2017 was considered concerning sustainability factors.
Javad Gerami; Mohammad Reza Mozaffari
Abstract
In this paper, we present an Additive Slacks-Based Measure (ASBM) model for measuring efficiency Decision-Making Unit (DMU) in the presence of undesirable outputs based on DEA Ratio based (DEA-R) model. In order to obtain a reasonable measure of efficiency, this paper proposes a concept for determining ...
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In this paper, we present an Additive Slacks-Based Measure (ASBM) model for measuring efficiency Decision-Making Unit (DMU) in the presence of undesirable outputs based on DEA Ratio based (DEA-R) model. In order to obtain a reasonable measure of efficiency, this paper proposes a concept for determining the minimum number of undesirable outputs that a DMU is allowed to generate based on the assertion of weak disposability. We show theeffect of producing excessive amounts of undesirable outputs on efficiency. We propose an alternative form of the ASBM model to measure efficiency based on DEA-R models. In the first stage, we introduce counterpart (hypothetic) units corresponding to each DMUs. We obtain the true efficiency scores and slack variables regarding the input and output components of each of the DMUs. In the second stage, we obtain the efficiency scores in the presence of undesirable outputs based on ASBM-DEA-R model. In the following, we illustrate the proposed approach with a numerical example. At the end, the results of the research are given.
Reza Fallah; Mohadeseh Kouchaki Tajani; Mehdi Maranjory; Razieh Alikhani
Abstract
Banks as financial and service-provider institutions in a society have a decisive role in the circulation of money and wealth of a country, so they have a special place in the economy of each country. Considering the importance of lending in quality of banks return and econom-ic decisions and increasing ...
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Banks as financial and service-provider institutions in a society have a decisive role in the circulation of money and wealth of a country, so they have a special place in the economy of each country. Considering the importance of lending in quality of banks return and econom-ic decisions and increasing competition in banks, analysis and research in this area is neces-sary. Accordingly, in the present study, a data envelopment analysis model was used to evaluate and select the optimal portfolio of banks' listed loans in Tehran Stock Exchange for 2017. Bank loans were evaluated using data envelopment analysis method and based on a set of banking criteria whith the use Gams software. In this method, banks are ranked based on the highest score and then the most efficient banks are selected. Finally, in order to evaluate the effectiveness and usefulness of the proposed method, a case study has been used in Iranian banks, which the results of performance evaluation of each type of loans and bank has been extracted. The results of the present study indicated that out of all the lending, Pasar-gad, Parsian and Saman Banks had the best performance and the Sarmayeh, Dey and Gardeshgari Banks had the poorest performance.
