Data Envelopment Analyses
Zeinab Tavassoli; Mohsen Rostami-MalKhalifeh; Farhad Hosseinzadeh Lotfi; Tofigh allahVieanloo
Abstract
Purpose: The current paper tries to determine the type of returns to scale in a decision-making unit under the condition that integer-valued inputs or outputs are present.Methodology: This paper introduces radial models for determining the value and type of Returns to Scale (RTS) in 4 scenarios, including ...
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Purpose: The current paper tries to determine the type of returns to scale in a decision-making unit under the condition that integer-valued inputs or outputs are present.Methodology: This paper introduces radial models for determining the value and type of Returns to Scale (RTS) in 4 scenarios, including single integer-valued input – single real output (scenario one), mixed inputs – exclusively real outputs (scenario two), exclusively integer-valued inputs – exclusively real outputs (scenario three), and exclusively integer-valued inputs – exclusively integer-valued outputs (scenario four); in each scenario, the values of the left RTS and right RTS are determined, and the RTS type is then determined on that basis. Finally, by presenting three examples based on two scenarios, namely single integer-valued input – single real output and single integer-valued input – single integer-valued output, the new method is compared with previous methods using GAMS software, and the conclusions are provided.Findings: The type of returns to scale differs when integer-valued inputs or outputs are present as compared with the case where the inputs and outputs are assumed to have real values.Originality/Value: This study focuses on the value and type of returns to scale for integer-valued data. For this purpose, returns to scale was modeled in 4 scenarios using input-oriented radial models, and in the fourth scenario (exclusively integer-valued inputs – exclusively integer-valued outputs), the modeling was carried out for output orientation as well. The existence of a difference between the results produced by our proposed model and those of the classical model was demonstrated through two examples, one using hypothetical data and the other real-world data.
Data Envelopment Analyses
Hengameh Mohamadinejadrashti; Alireza Amirteimoori; Sohrab Kordrostami; Farhad Hosseinzadeh Lotfi
Abstract
Purpose: In resource allocation and target setting problems, a central planner decision making from a managerial point of view has a pivotal role, especially in presence of undesirable outputs such as greenhouse gas emissions. In these situations, firms have to incorporate to each other to achieve the ...
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Purpose: In resource allocation and target setting problems, a central planner decision making from a managerial point of view has a pivotal role, especially in presence of undesirable outputs such as greenhouse gas emissions. In these situations, firms have to incorporate to each other to achieve the goals of the central planner. The existing DEA-based resource allocation models have not considered the influence of managerial effort and technology innovation. In this study, we will use the managerial disposability assumption to reflect the central planner managerial achievement and technology novelty perspective in the process of resource allocation and target setting.Methodology: Using a managerial disposability assumption in this paper offers a solution to a correct and acceptable resource allocation and target setting along with improving the performance of units. To analyze the method presented in this paper, the data of 29 famous international airlines representing the global aviation industry have been selected and studied.Findings: The results of this study show that in this model, decision-making units use managerial disposability assumption in the regulation of undesirable outputs based on the perspective of cooperation strategies to improve their environmental performance. In addition, in this approach increasing the inputs, fixing the amount of the desirable outputs, reducing the amount of undesirable outputs will be allowed. This model ensures that the adjusted decision-making units in the next period, will improve their efficiency after resource allocation and target setting, as well as improving the overall efficiency is observed in the results obtained by this method.Originality/Value: The paper presents a new approach of resource allocation and target setting based on data envelopment analysis which considers the impact of managerial effort and technology innovation on resource allocation and target setting problems.
Combinatorial Optimization
Mohammad Jaberi; Seyyed Esmaeil Najafi; Farhad Hoseinzadeh Lotfi; Mohammad Haji molana
Abstract
Purpose: Strategy is the main source of long-term growth of organizations and if the strategy is not successfully implemented, even if the appropriate strategies are adopted, this process is useless. The purpose of this paper is to propose a comprehensive hybrid model for predicting organizational performance ...
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Purpose: Strategy is the main source of long-term growth of organizations and if the strategy is not successfully implemented, even if the appropriate strategies are adopted, this process is useless. The purpose of this paper is to propose a comprehensive hybrid model for predicting organizational performance indicators.Methodology: In order to achieve the research goal, first, a balanced scorecard as a tool for designing performance evaluation indicators and network data envelopment analysis as a tool for performance evaluation has been used. Then, by matching the Malmquist productivity index with the mentioned hybrid model, the model of progress and regression of organizations in two consecutive periods is presented. Finally, by combining the proposed models and artificial neural networks, a solution is presented to evaluate the performance of 500 bank branches and also to identify their progress and regression.Finding: The obtained results show good accuracy and less computational time of the proposed hybrid models.</pOriginality/Value: The present study can add to the existing knowledge on performance appraisal of enterprises by providing a hybrid model using network data envelopment analysis and balanced scorecard; And the proposed methods can be promising tools for evaluating the performance of organizations, especially big data.
Data Envelopment Analyses
Rezvan Shaban; Bahman Banimahd; Farhad Hosseinzadeh Lotfi; Hashem Nikoumaram
Abstract
Data envelopment analysis is a suitable and useful technique for measuring and evaluating the efficiency of decision-making units. This technique is also an effective tool in evaluating the efficiency of units in auditing. Therefore, the purpose of this paper is to evaluate the efficiency of audit firms ...
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Data envelopment analysis is a suitable and useful technique for measuring and evaluating the efficiency of decision-making units. This technique is also an effective tool in evaluating the efficiency of units in auditing. Therefore, the purpose of this paper is to evaluate the efficiency of audit firms in terms of audit quality by using data envelopment analysis. Theoretical foundations and data of this study are based on library studies of the pharmaceutical industry of companies listed in the Tehran Stock Exchange. In this study, the output variable is audit quality and input variables include the number of partners of auditing firms, audit fees and auditing hours. The results, using the cross-functional method of data envelopment analysis, show that Behmand, Azmoodeh Karan and Arvin Argham Pars have the first to third ranks in terms of efficiency. Evidence from this study confirms that data envelopment analysis can be used as an appropriate method for analyzing the efficiency of audit firms in in order to assess the quality of auditors' work to support investors by financial analysts and capital market policymakers.
Data Envelopment Analyses
Ehsan Momeni; Farhad Hosseinzadeh Lotfi; Reza Farzipoor Saen
Abstract
Nowadays, sustainable development is the most important issue in the economic development of countries. To achieve sustainable development, countries must pay special attention to environmental aspects. Environmental aspect focuses on ecosystem stability and maintenance of ecologic functions. To make ...
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Nowadays, sustainable development is the most important issue in the economic development of countries. To achieve sustainable development, countries must pay special attention to environmental aspects. Environmental aspect focuses on ecosystem stability and maintenance of ecologic functions. To make countries more sustainable, Greenhouse Gas (GHG) emission should be reduced and controlled. Cap and trade approach is one of the most effective approaches in controlling GHG emissions. In the cap and trade approach, the total amount of emissions are decreased by reallocating emission permits to countries. The objective of this paper is to propose a centralized Data Envelopment Analysis (DEA) model to reallocate emission permits in the cap and trade system given countries’ efficiencies. Our model evaluates efficiencies of countries in the presence of discretionary and nondiscretionary inputs to reallocate emission permits. The fuzzy set considers uncertainties in parameters. Also, this paper determines the amount of emitted gases that can be reduced without reducing other outputs. A case study demonstrates the applicability of the proposed model. Sensitivity analysis is carried out to investigate the impact of parameters’ variations on results.