Performance appraisal is essential for any bank to plan and control. And considering the role of banks in the country's economy, measuring its efficiency is very important, so it is necessary to use appropriate models to assess the efficiency of banks. One of these mode More
Performance appraisal is essential for any bank to plan and control. And considering the role of banks in the country's economy, measuring its efficiency is very important, so it is necessary to use appropriate models to assess the efficiency of banks. One of these models is data envelopment analysis. Due to the multi-stage structure of banks, conventional data envelopment analysis models cannot be used, because conventional models do not pay attention to internal structure, intermediate products or communication activities And provide an estimate of the quality of performance. Also, conventional models pay less attention to the nature of inputs and outputs and have a radial nature, so the aim of this study is to provide a new model of NDEA with SBM model and FDH model for eliminating the weakness of conventional DEA models and Have a higher resolution. Also, for experimental study, to evaluate the performance of 20 branches of a commercial bank by considering the indicators, number of personnel and staff working hours as input and free deposits (free of charge and costly deposits) and facilities as intermediate indicators (intermediaries). And the indicators of overdue receivables and received fees have been considered as output and the ranking the branches , and finally efficient and inefficient branches have been identified. And the necessary strategies were given to improve the performance of inefficient branches.
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Rapid development toward globalization, a competitive market, significant technological advances, and high customer expectations have encouraged companies to reduce costs and increase their competitive advantage. One of the things that can help companies achieve a compe More
Rapid development toward globalization, a competitive market, significant technological advances, and high customer expectations have encouraged companies to reduce costs and increase their competitive advantage. One of the things that can help companies achieve a competitive advantage is supply chain management. Information acts as an intermediary between all activities and operations within the supply chain. The innovation of this research can be shown in two aspects of application and modeling. In terms of application, with a review of the literature and investigating the application of multi-stage and network data development analysis in the supply chain, it was revealed that so far, the efficiency of financial and physical flows in the literature has been evaluated more and the indicators are mostly related to two financial and physical flows in the supply chain, therefore there is more research opportunity to evaluate the efficiency of information flow within the supply chain. Measuring the efficiency of information flow should be an integral part of supply chain management. Therefore, this research aimed to present a model to evaluate the efficiency of information flow in the supply chain. In terms of mathematical modeling, research innovation is considering the model of the network and reversible relationship in the supply chain. With a review of the literature, the indicators are investigated to evaluate the efficiency of information flow in the supply chain, and the validity of indicators is examined by the fuzzy Delphi method. Then the decision making unit and inputs and outputs of the model are introduced. In this research, the fuzzy network data envelopment analysis is used. In order to implement the models, we used the GAMS software.
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The purpose of the current research is to provide a performance appraisal system capable of considering the value chain network structure of research and development (R&D) projects for Complex products and systems (CoPS) under uncertainty of data. Therefore, in orde More
The purpose of the current research is to provide a performance appraisal system capable of considering the value chain network structure of research and development (R&D) projects for Complex products and systems (CoPS) under uncertainty of data. Therefore, in order to achieve this goal, a network data envelopment analysis (NDEA) approach and the possibilistic programming to provide a new fuzzy network data envelopment analysis (FNDEA) approach have been utilized. It is worth noting that the value chain structure is considered in three phases: research and development, manufacturing and testing and finally operations. Finally, the proposed research approach was implemented using data from 10 Research and Development projects for complex systems and products in Iran and the results indicate the capability and applicability of the proposed approach of fuzzy three-stage data envelopment analysis.Keywords: Research and Development (R&D) Project, Complex Products and Systems (CoPS), Network Data Envelopment Analysis (NDEA), Value-Chain, Uncertainty.
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As an important concept in data envelopment analysis (DEA), closest target has wide theoretical and practical applications. By considering the data of closest target and utilizing it appropriately, the decision making unit (DMU) under evaluation determines how to transf More
As an important concept in data envelopment analysis (DEA), closest target has wide theoretical and practical applications. By considering the data of closest target and utilizing it appropriately, the decision making unit (DMU) under evaluation determines how to transform its inputs and outputs to become efficient. Also, traditional DEA models only utilize the external inputs to produce the final outputs in evaluating the relative efficiency of decision making units (DMUs), and internal operations are not be considered. Therefore, traditional models can not accurately determine the source of inefficiency inside the structures. To overcome this problem, different authors proposed various network DEA models (NDEA). This paper is an attempt to find the closest target in various scenarios of network DEA. The study concerns about different existed scenarios in network DEA models and proposes specific models to find closest targets in each scenario. Also, an empirical example has been presented to illustrate the proposed models.
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تحلیل پوششی داده های شبکه ای یکی از مهم ترین شاخه های تحلیل پوششی داده ها می باشد که به منظور سنجش عملکرد واحدهای تصمیم گیرنده با ساختار داخلی یا شبکه به کار گرفته می شود. در این مطالعه، مدل تحلیل پوششی داده های شبکه ای پنجره ای ارائه می شود که می تواند در حضور داده های More
تحلیل پوششی داده های شبکه ای یکی از مهم ترین شاخه های تحلیل پوششی داده ها می باشد که به منظور سنجش عملکرد واحدهای تصمیم گیرنده با ساختار داخلی یا شبکه به کار گرفته می شود. در این مطالعه، مدل تحلیل پوششی داده های شبکه ای پنجره ای ارائه می شود که می تواند در حضور داده های پانل مورد استفاده قرار گیرد. علاوه بر این ، مدل پیشنهادی برای ارزیابی کارایی پویای 5 شرکت سرمایه گذاری در بورس اوراق بهادار تهران در بازه زمانی 2013 تا 2017 استفاده شده است. نتایج تجربی نشان می دهد که مدل پیشنهادی تحلیل پوششی داده های شبکه ای پنجره ای مؤثر است و استفاده از این مدل ، قابلیت اطمینان نتایج را افزایش می دهد.
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This research aims to evaluate the efficiency of a two-stage network structure by examining the impact of contextual variables on its performance. To accomplish this, a two-stage approach is implemented, which involves network data envelopment analysis (NDEA) in the fir More
This research aims to evaluate the efficiency of a two-stage network structure by examining the impact of contextual variables on its performance. To accomplish this, a two-stage approach is implemented, which involves network data envelopment analysis (NDEA) in the first step and ordinary least squares (OLS) analysis in the second step. In the first step, a non-cooperative (Leader-Follower) model is employed to assess the efficiency of each sub-section within the two-stage process based on their inputs and outputs. In the second step, the logarithm of the estimated efficiency scores is regressed on the contextual variables to refine the network-specific efficiency. The performance of various Spanish airports is analyzed to demonstrate the effectiveness of this approach.
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One of the most important factors of the development of an economy is the mergers or acquisitions (M&A) at the level of its active companies such as insurance companies. The main purpose of this study is to examine the efficiency of merger and acquisition before doi More
One of the most important factors of the development of an economy is the mergers or acquisitions (M&A) at the level of its active companies such as insurance companies. The main purpose of this study is to examine the efficiency of merger and acquisition before doing this process in the insurance industry using network data envelopment analysis and can select the companies that potentially facilitate achieving the purposes of the merger and acquisition process and improve of this action. For this purpose, in this study, first the efficiency of 20 insurance companies was measured through the Modified Slack-Based Measure (MSBM) in the two-stage data envelopment analysis approach during three years 2017, 2018 and 2019. Then, considering the calculated efficiency, Asia Insurance Company, Parsian, Dey, Pasargad, Kowsar and Taavon, which have had efficient performance in the last three years, were excluded from the calculations and other companies were selected for M&A . After ensuring that no monopoly is considered via Herfindahl- Hirschman Index, M&A is performed and then the overall efficiency was measured and it was divided into three parts: technical, harmony and scale. The results showed that the two consolidations Dana-Mihan and Dana-Sina had the best efficiency and the three consolidations Alborz-Mellat, Sina-Arman and Sina-Sarmad had the lowest efficiency and potential for the highest improvement. Calculations also showed that if the scale effect in the composition is greater than 1, then the coordination effect is smaller than 1 and the inverse relationship are not necessarily satisfied.
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Contemporary supply chains are complex networks of processes that are subject to many disruptions; a resilient supply chain will be able to respond more quickly to changes by creating capabilities. The effect of supply chain network components on each other under condit More
Contemporary supply chains are complex networks of processes that are subject to many disruptions; a resilient supply chain will be able to respond more quickly to changes by creating capabilities. The effect of supply chain network components on each other under conditions of uncertainty contributes to complexity and disruption. The supply chain must be pushed towards a resiliency strategy in order to reduce disruptions and deal with issues that arise from the supply chain. The purpose of this paper is to analyze network processes from supplier to distributor, in proportion to the convergence of processes by a combination of resilience factors in the automotive industry. The design of the proposed scenarios with the combination of effective resilience factors is presented, which is based on the opinion of industry experts and also takes the vulnerable factors and disorders of each level into account. First, the sources of supply chain risks such as disruptions, delays and vulnerabilities are identified and then twenty-four scenarios are designed with a combination of resilience factors of flexibility, visibility, velocity, and visibility. The company''s complex supply chain is simulated based on the system''s past rate and statistical distribution functions, and then the network DEA is used to select the superior scenario. The indicators of each scenario or simulation output are selected based on the DEA, ranking the most efficient scenario. Finally, the relationships between them have been explored using mathematical analysis and the creation of a regression model between the simulation indices and the output of scenarios.
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Analyzing and predicting efficiency in industries is very important in order to evaluate the performance of units and plan to improve their performance. Poultry industry, as one of the strategic and complex industries, has taken an important part of the food chain baske More
Analyzing and predicting efficiency in industries is very important in order to evaluate the performance of units and plan to improve their performance. Poultry industry, as one of the strategic and complex industries, has taken an important part of the food chain basket of the societies, and from this point of view, the analysis of its supply network is very important.In this research, using the network data coverage analysis model and data mining, research gaps in the field of measuring and predicting the efficiency of the green supply chain in the poultry industry have been covered. This research is descriptive and survey in terms of its practical purpose and in terms of the nature of implementation, which is done by developing mathematical models in the field of data coverage analysis.First, using the Delphi approach, the effective indicators were identified and screened based on the opinion of experts, and then a new mathematical model was presented based on the coverage analysis of network data. In the following, the efficiency of 9 chains was evaluated in five years using the alpha cut method based on the enveloping analysis method of fuzzy data. The results showed that the presented model is able to evaluate the efficiency of the green and multi-level supply chain of the poultry industry in consecutive years.
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The purpose of this paper is to evaluate the performance of a four-stage supply chain in the presence of uncontrollable, undesirable and negative data in the cement industry. For this purpose, the Slack-Based Measure (SBM) model in network data envelopment analysis is p More
The purpose of this paper is to evaluate the performance of a four-stage supply chain in the presence of uncontrollable, undesirable and negative data in the cement industry. For this purpose, the Slack-Based Measure (SBM) model in network data envelopment analysis is presented to evaluate the performance of such chains. Then, 42 cement companies present in the stock exchange and securities, the corresponding chain of each of which has four stages of supplier, producer, distributor and customer, were evaluated during the period 1394-1394. Based on the implementation of the model, 5 companies have been efficient for three consecutive years and the efficiency score of the rest of them has been less than 1 in all years or some years.
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In this paper, a bargaining game model is extended to evaluate the efficiency of decision making units with a multi-stage network structure. Moreover, each stage of network data envelopment analysis (DEAN) is considered as a game player. Accordingly, the allocated More
In this paper, a bargaining game model is extended to evaluate the efficiency of decision making units with a multi-stage network structure. Moreover, each stage of network data envelopment analysis (DEAN) is considered as a game player. Accordingly, the allocated fixed cost is divided among all the stages such that the best allocation is made to the best stage. With a newer idea, the intermediate stage in the data envelopment analysis of three-stage networks is considered as a common player in the bargaining game, so that the stage plays a significant role in maximizing the performance of network. Next, an alternative approach to allocating a common fixed cost in a multi-stage network based on the bargaining game is proposed. Finally, as direct apllication of the performance of the proposed models some examples are given.
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The purpose of this paper is to present an appropriate model of data envelopment analysis with a network structure for evaluating the sustainability of the supply chain of cement companies present in the Iranian Stock Exchange during 2014-2015 and determine their produc More
The purpose of this paper is to present an appropriate model of data envelopment analysis with a network structure for evaluating the sustainability of the supply chain of cement companies present in the Iranian Stock Exchange during 2014-2015 and determine their productivity based on the Malmquist index. This model attempts to introduce sustainability criteria in the supply network with regard to quantitative and qualitative constraints as well as undesirable outputs and Through their measure of supply chain, results are more consistent with reality. Overall, the results indicate a decline in the total productivity of these companies; meanwhile, only 7 companies have maintained their performance and other companies have had a performance fluctuation.
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ایـن مطالعـه یـک مطالعـه کاربردی اسـت که بـه منظور بررسـی و مقایسـه کارایی شـرکتهای برق منطقهای ایران با اسـتفاده از روشهای تحلیل پوششـی دادههای مرسـوم و شـبکیه انجام شـده اسـت. شـرکتهای بـرق منطقـهای ایـران از فرایند دو مرحلـهای بـرای انتقـال نیـرو اسـتفاده میکنند. با More
ایـن مطالعـه یـک مطالعـه کاربردی اسـت که بـه منظور بررسـی و مقایسـه کارایی شـرکتهای برق منطقهای ایران با اسـتفاده از روشهای تحلیل پوششـی دادههای مرسـوم و شـبکیه انجام شـده اسـت. شـرکتهای بـرق منطقـهای ایـران از فرایند دو مرحلـهای بـرای انتقـال نیـرو اسـتفاده میکنند. با اسـتفاده از رویکـرد کاربردی، عملکـرد و کارایـی ایـن شـرکتها بـا روشهـای شـبکهای و مرسـوم اندازهگیری شـد و با یکدیگر مقایسـه شـد. (BCC ورودی-محور). مشـخص شـد که مدلهای شـبکه در مقایسـه بـا روشهـای دیگـر از آنجـا کـه تصویـر واضـح از کارایـی شـرکتهای بـرق منطقـهای را فراهـم میکنـد ،گسـتردهتر هسـتند. نتایـج آزمـون ویلکاکسـون نشـان میدهـد کـه بیـن نمـرات کارآیی شـرکتهای بـرق منطقهای ایـران بـا اسـتفاده ازروش BCC و روشهای شـبکه تفـاوت معناداری وجـود دارد و بررسـی کیفیـت تفـاوت نمـرات نیـز نشـان میدهد کـه کارایـی شـرکتها در مدل شـبکه پایینتـر از نمـرات کارایـی مدل BCC اسـت. به طور کلی، مدلهای شـبکه دارای کاربـرد بالاتـری نسـبت بـه ارائـه یـک تصویر واضـح از کارایی شـرکتهای بـرق منطقـهای و مقایسـه دقیقتر آنها هسـتند.
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This paper proposes a centralized network data envelopment analysis model that combines the centralized data envelopment analysis model with possibility of downsizing and two-stage network data envelopment analysis. In the proposed model, this paper also considers the s More
This paper proposes a centralized network data envelopment analysis model that combines the centralized data envelopment analysis model with possibility of downsizing and two-stage network data envelopment analysis. In the proposed model, this paper also considers the situation in which shared inputs are jointly consumed in each stage. We also assume some outputs can be produced by the first and second stages by using separate inputs. The proposed model is illustrated in an empirical example of twenty sale representatives in two provinces of Golestan and Mazandaran. The results provide valuable information for the centralized decision-maker on how to reallocate resources among the units.
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The production of high technology is particularly attractive for countries due to the added value it creates. The research institution and the industry sector are among the sectors that have an impact on the production of high technology, and measuring their efficiency More
The production of high technology is particularly attractive for countries due to the added value it creates. The research institution and the industry sector are among the sectors that have an impact on the production of high technology, and measuring their efficiency is very important. This research seeks to evaluate the efficiency of countries with a national IQ above 85 in the production of high technology, considering the capabilities that are based on human capital, such as innovation, educational attainment, and national intelligence. The current research is quantitative and descriptive in terms of method and applied. In terms of the time horizon, it is cross-sectional and in terms of the method of data collection, it is library-based and by referring to official international portals such as the World Bank. In order to rank countries, identify super-efficient countries and improve the efficiency of high technology production, a two-stage chain for the production of high technology has been considered by using the network data coverage analysis method. In the first stage of this chain, the research institution with the inputs of the number of research and development researchers (human capital index) and the amount spent on research and development, and in the second stage, there is the industry sector with foreign direct investment inputs, the number of patent applications (innovation index) and the number of scientific articles (educational attainment index) of each country. The findings show that 12 countries out of 56 countries are efficient in the production of high technology.
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AbstractThe research objective is to develop a model for evaluating information quality of reporting entities using network data envelopment analysis (NDEA) models. The main motivation is the multidimensional feature of information quality concept with respect to the pr More
AbstractThe research objective is to develop a model for evaluating information quality of reporting entities using network data envelopment analysis (NDEA) models. The main motivation is the multidimensional feature of information quality concept with respect to the proxies and consequences of information quality along with the capabilities of DEA models in evaluating efficiency of decision-making units (DMUs: here the reporting entities) based on different inputs and outputs. In this regard, firstly the most important proxies and consequences of information quality are extracted from literature review and secondly considered as inputs and outputs of consequential two-stage NDEA model depending on their relationships with information quality concept and finally the information efficiency of reporting entities measured using simultaneously the proxies and consequences of information quality. The results revealed differences in DMUs' information efficiencies in different stages suggesting classic viewpoint deficiency of DEA models in evaluating DMUs' efficiency. Moreover, DMUs' efficiencies in first stage (proxies of information quality) are greater than their corresponding efficiencies in second stage (transforming proxies to consequences) and network efficiencies, resulted from optimization of all distinct stages, take an amount between first- and second-stage efficiencies. Among other results of the research in addition to providing a unique amount of network efficiency, is giving explanations for network and its components inefficiency, and identifying benchmarks for optimizations of inputs and outputs of each stage and overall network and setting a way to efficient frontier.
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The Social Security Organization is the main focus of insurance in the private sector and is the largest insurer and is one of the major economic institutions responsible for providing support to other economic, social and household institutions. Therefore, in order to More
The Social Security Organization is the main focus of insurance in the private sector and is the largest insurer and is one of the major economic institutions responsible for providing support to other economic, social and household institutions. Therefore, in order to provide optimal service in the social security organization, it is necessary to design and implement a system of performance evaluation of the appropriate supply chain. For this purpose, in this study, NDEA was used to evaluate the efficiency and performance of the service supply chain in the social security organization. Because conventional DEA models operate on historical information, their greatest weakness is to determine the efficiency of decision-making units in the past and do not provide a framework for the future, so to solve this problem in this study and to predict future inputs and outputs from the method Simulation of system dynamics is used. In order to show the theoretical findings of the new model presented in a practical way, the performance prediction and performance evaluation of 15 Hormozgan provincial social supply chain branches in three years from 95 to 97 have been discussed.Finally, the efficient and inefficient branches were identified.
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