فهرست مقالات Malmquist Productivity Index

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  1 - ارزیابی پیشرفت و پسرفت رسانه‌های چاپی با استفاده از شاخص بهره‌وری مالم‌کوئیست در تحلیل پوششی داده‌ها
  هانیه حقیقی نیا محسن رستمی مال خلیفه محمد سلطانی فر اکبر نصرالهی
  10.30495/mediastudies.2022.46632.1235
  محدودیت منابع یک واقعیت غیر قابل انکار است که بسیاری از سازمان‌ها (نظیر سازمان‌های رسانه‌ای) با آن در ارتباط هستند؛ از این رو، بهبود بهره‌وری منابع این سازمان‌ها نیز یکی از مهم‌ترین نگرانی‌های مدیران است. در نتیجه، یک مدیر باید عملکرد سازمان خود را پیوسته ارزیابی کند. د چکیده کامل

  محدودیت منابع یک واقعیت غیر قابل انکار است که بسیاری از سازمان‌ها (نظیر سازمان‌های رسانه‌ای) با آن در ارتباط هستند؛ از این رو، بهبود بهره‌وری منابع این سازمان‌ها نیز یکی از مهم‌ترین نگرانی‌های مدیران است. در نتیجه، یک مدیر باید عملکرد سازمان خود را پیوسته ارزیابی کند. در این مقاله، قصد داریم میزان پیشرفت و پسرفت روزنامه‌های چاپی ایران را بین سال‌های (1394) و (1395) ارزیابی کنیم. این مطالعه، از لحاظ هدف کاربردی است و از شاخص بهره‌وری مالم‌کوئیست که یک رویکرد بسیار مفید در تحلیل پوششی داده‌ها برای اندازه‌گیری میزان پیشرفت و پسرفت واحدهای تصمیم‌گیرنده‌ی تحت ارزیابی است، استفاده کرده است. جهت تجزیه و تحلیل داده‌ها نیز از نرم‌افزار گمز که یک سیستم مدل‌سازی قوی برای برنامه‌نویسی ریاضی و بهینه‌سازی است، استفاده شده است. پس از مرور ادبیات ارزیابی عملکرد و مصاحبه با خبرگان حوزه‌ی مدیریت رسانه و همچنین، کارشناسان معاونت مطبوعاتی وزارت فرهنگ و ارشاد اسلامی، شاخص‌های مورد نیاز شناسایی و انتخاب شده است. نتایج حاصل از مقایسه‌ی شاخص‌های درون سازمانی در دو سال متوالی (1394) و (1395) نشان می‌دهد از 87 واحد تصمیم‌گیرنده‌ی تحت ارزیابی، 29 واحد پیشرفت و 58 واحد پسرفت داشته‌اند. به منظور بهبود واحدهایی که پسرفت داشته‌اند، استراتژی مناسب پیشنهاد شده است. پرونده مقاله
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  2 - اندیس بهره وری مالمکوئیست با توجه به اثرات زمان بر دارایی ها
  محسن واعظ قاسمی
  در سال­های اخیر اندازه­ گیری و انالیز تغییرات بهره­ وری مورد توجه ویژه بسیاری از محققیین بوده است. اگرچه اندیس بهره­ وری مالمکوئیست امروزه بسیار مورد استفاده قرار می­گیرد بایستی انواع مختلف داده ­ها هم در ارزیابی استفاده شود در غیر این صورت ارزیا چکیده کامل

  در سال­های اخیر اندازه­ گیری و انالیز تغییرات بهره­ وری مورد توجه ویژه بسیاری از محققیین بوده است. اگرچه اندیس بهره­ وری مالمکوئیست امروزه بسیار مورد استفاده قرار می­گیرد بایستی انواع مختلف داده ­ها هم در ارزیابی استفاده شود در غیر این صورت ارزیابی به نتایج غلط منجر می­شود. اندیس بهره ­وری مالمکوئیست کاربردی که در این مقاله معرفی می­شود بر­اساس ارزیابی واحد­ها در فضای رقابتی همراه با اندیس­های پنهان اقتصادی مانند ارزش زمانی پول، استهلاک و رشد و یادگیری کارکنان می­باشد. مدل پیشنهاد شده امکان مقایسه بهره­ وری را در طی دوره های مختلف فراهم می­سازد. مدل­های معرفی شده در این مقاله بسیار قابل لمس برای مدیران واحد­های تصمیم گیرنده می­باشند و شرایط مطلوبی را ارئه می­کنند که نبود آن ممکن است به نتایج غلطی منجر شود.    پرونده مقاله
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  3 - تاثیربدهی معوق درکارایی بانکهای کشوربا استفاده از تکنیک تحلیل پوششی داده ها (DEA)
  امیر غلام ابری
  ارزیابی عملکرد همواره از مسائل چالش برانگیز در حوزه های مدیریت بوده است. اندازه­گیری کارایی خصوصاً در دودهه اخیر، به دلیل اهمیت آن در ارزیابی عملکرد مورد توجه زیادی قرار گرفته است. امروزه سازمان­ها سعی می­کنند عملکردشان را اندازه­گیری کرده و آن را با رقب چکیده کامل

  ارزیابی عملکرد همواره از مسائل چالش برانگیز در حوزه های مدیریت بوده است. اندازه­گیری کارایی خصوصاً در دودهه اخیر، به دلیل اهمیت آن در ارزیابی عملکرد مورد توجه زیادی قرار گرفته است. امروزه سازمان­ها سعی می­کنند عملکردشان را اندازه­گیری کرده و آن را با رقبایشان مقایسه نمایند تا بتوانند جهت حصول به سطح عملکردی که بتواند آن ها را در بازار حفظ نماید، اقدام مقتضی را انجام دهند.  بانک­ها و موسسات مالی و اعتباری یکی از مهم­ترین بخش های اقتصادی به شمار می­آیند که با هدایت و سازماندهی دریافت­ها و پرداخت­ها مبادلات تجاری و بازرگانی را تحصیل کرده و موجب گسترش بازارها و رشد و شکوفایی اقتصادی می­گردند. با توجه به این وظیفه سنگین، موضوع افزایش بهره­وری آنها امری ضروری است. تحلیل پوششی داده یک تکنیک ناپارامتریک با رویکرد برنامه­ریزی خطی برای ارزیابی عملکرد واحدهای تصمیم گیرنده­ای است که ورودی های چند گانه را به خروجی­های چند گانه تبدیل می­نماید. مقاله ­ی حاضر، به بررسى بدهى معوق مشتریان و تا ثیر آن به روى کارایى40 شعبه یکی از بانک­هاى کشور با استفاده از تکنیک تحلیل پوششى داده­ها و تحلیل­هاى آمارى مى­پردازد. بعلاوه قلمر زمانی تحقیق انجام شده سال­های 1392 و 1393 می­باشد. پرونده مقاله
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  4 - Total Factor Productivity of Manufacturing Sector in India: A Regional Analysis for the State of Haryana
  Shallu Sehgal Suparn Sharma
  The present study used different categories of organized sector manufacturing industries pooled data for the periods of 1981-82 and 2007-08 in Haryana state (India). The present undertaking seeks to analyze the inter-temporal and inter-industry comparison of total facto چکیده کامل

  The present study used different categories of organized sector manufacturing industries pooled data for the periods of 1981-82 and 2007-08 in Haryana state (India). The present undertaking seeks to analyze the inter-temporal and inter-industry comparison of total factor productivity (TFP) measured by Malmquist productivity index - an application of DEA which calculates the indices of TFP and its components including technology and efficiency changes. The general development pattern observed by the Haryana is definitely not a healthy sign of structural change in the economy. The analysis of the discussion reflects that while the tertiary sectors have maintained its lion’s share inGDPof India and Haryana as well, the declining trend in the share of primary sector and more or less stable contribution of the secondary sector is noticeable. The study reveals that technical efficiency change is the key driver of TFPG in the manufacturing sector of Haryana during pre reforms period, however, the picture has turned around during the post reforms period. A positive impact of liberalization policy on technological advancement of the manufacturing sector of the state has been experienced. The post reforms period the state has shown the inefficiency in the utilization of resources in hand as an alarming sign indicating the incapability of manufacturing sector of the state in question in dealing with the level of technological advancements. پرونده مقاله
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  5 - Entropy based Malmquist Productivity Index in Data Envelopment Analysis
  reza fallahnejad
  Malmquist Productivity Index (MPI) is one of the most famous indices, which is used for estimating the productivity change of a Decision Making Unit (DMU) during the time. Virtually any empirical study that uses MPI, reports average of the productivity indices they esti چکیده کامل

  Malmquist Productivity Index (MPI) is one of the most famous indices, which is used for estimating the productivity change of a Decision Making Unit (DMU) during the time. Virtually any empirical study that uses MPI, reports average of the productivity indices they estimate to represent the overall tendency in productivity changes. In such a case, productivity indices of a DMU are considered with equal value. In this paper, we propose using the entropy of productivity indices of all DMUs at a specific part of time as the weight of indices of that in aggregating the indices during the under study time section. Then, we use the proposed method for an empirical study of 18 Iranian companies manufacturing automobiles and automobile parts, which have been accepted in Tehran Stock Exchange. پرونده مقاله
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  6 - How to Target Balanced Scorecard Indicators in a DEA-BSC Integrated Model
  Mohammad Fallah Esmail Najafi
  Performance measurement is always one of the most important tasks of managers, so knowledge management is measurement knowledge, and if we can measure something, we can no doubt control it, and therefore we cannot manage it. In this paper, according to the Malmquist pro چکیده کامل

  Performance measurement is always one of the most important tasks of managers, so knowledge management is measurement knowledge, and if we can measure something, we can no doubt control it, and therefore we cannot manage it. In this paper, according to the Malmquist productivity index, an index is used to determine the progress and regress of a unit. This index is defined by the boundary changes resulting from the inputs of the units and their efficiency changes, which we call the Malmquist Productivity Index. After calculating the Malmquist changes, we were able to determine the rate of increase or decrease in the indicators for the following period. پرونده مقاله
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  7 - A novel method for forecasting the Malmquist productivity index by artificial neural network: Evidence from Iranian commercial bank
  Elsa Shokrollahpour Fariba Salahi
  Banks are the most important part of today’s economy and society. Therefore, their performance and productivity measurement is crucial. This study attempts to calculate productivity change of one of the Iranian commercial banks for the five years period. The Malmq چکیده کامل

  Banks are the most important part of today’s economy and society. Therefore, their performance and productivity measurement is crucial. This study attempts to calculate productivity change of one of the Iranian commercial banks for the five years period. The Malmquist productivity index was selected as measurement tool of efficiency and technical changes. In literature mostly a static form for calculating the Malmquist productivity index was available. As few studies have been conducted in dynamic form this, in this study the forecasted progress or regress for bank branches is calculated by integrating artificial neural network and Malmquist index. The results demonstrated that more branches’ productivity would progress in next sixty months. پرونده مقاله
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  8 - Military hospitals efficiency evaluation: Application of Malmquist Productivity Index-Data Envelopment Analysis
  Rouhalah Moradi Maghsoud Amiri
  The purposed-the main purpose of this study is to look at the development of efficiency and productivity in the military hospital sector of Tehran province, by applying a nonparametric method. Design/methodology/approach- The study applied the nonparametric method to as چکیده کامل

  The purposed-the main purpose of this study is to look at the development of efficiency and productivity in the military hospital sector of Tehran province, by applying a nonparametric method. Design/methodology/approach- The study applied the nonparametric method to assess the efficiency of military hospitals service in Iran, Tehran, over the period 2013-2016. Utilizing non-parametric methodology, Data Envelopment Analysis (DEA) and Malmquist productivity index (MPI), individual hospital efficiency and productivity changes which took place within this period are estimated. Practical implications- the present study helps to understand the productivity and technological change and change in technical efficiency in this area, which is essential for policy making identifying improvement opportunities in resource allocation. The difference in productivity in this study is attributed to technological change rather than technical efficiency change. It was observed that military hospitals did not improve the efficiency with which they employed their inputs (i.e., staff and supplies) over the study period; moreover, the Malmquist Index Productivity increases and decreases interchangeably over the period. They did achieve gains and losses through the application of technologies. These results should be both informative and reassuring to military leaders and citizen alike. Originality/value- This paper provides a thorough study on the productivity growth of health care service in military hospitals in Iran using a non-parametric framework with Malmquist Productivity Index. Using panel data, this paper uses the Malmquist Productivity Index with Data Envelopment Analysis that provides new empirical evidence on the long-term trends in the efficiency of military hospitals in Iran. پرونده مقاله
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  9 - Determine of the Malmquist Productivity Index Units in DEA on Fuzzy Inputs and Outputs
  Ali Asghar Hosseinzadeh
  10.30495/ijdea.2023.73372.1195
  Data Envelopment Analysis (DEA) is an extremely flexible and useful methodology, which provides a relative efficiency score for each decision-making unit.Classic DEA models only evaluate the performance efficiency of units and they cannot provide any information about t چکیده کامل

  Data Envelopment Analysis (DEA) is an extremely flexible and useful methodology, which provides a relative efficiency score for each decision-making unit.Classic DEA models only evaluate the performance efficiency of units and they cannot provide any information about the progress and regress of units in two periods. Also, they suppose that all inputs and outputs are positive real numbers. But in the real world, due to the existence of uncertainty, this assumption may not always be true. So, the DEA models with fuzzy data (FDEA models) can more realistically represent real-world problems than the conventional DEA models. In this paper, we assume all inputs, outputs and efficiency measures are triangular fuzzy numbers. So we present a method for obtaining the fuzzy Malmquist productivity index on fuzzy data, and finally, we can determine progress and regression for units with fuzzy data. پرونده مقاله
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  10 - Malmquist Productivity Index for Multi Time Periods
  Y. Jafari
  The performance of a decision making unit (DMU) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (DEA) is a useful method for both types of evaluation. The Malmquist productivity index (MPI) evaluates the change in effic چکیده کامل

  The performance of a decision making unit (DMU) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (DEA) is a useful method for both types of evaluation. The Malmquist productivity index (MPI) evaluates the change in efficiency of a DMU between two time periods. It is defined as the product of the Catch-up and Frontier-shift terms. In this paper, we study the Malmquist productivity index of a DMU between several time periods. پرونده مقاله
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  11 - Malmquist Productivity Index with Dynamic Network Structure
  S. Keikha-Javan M. Rostamy-Malkhalifeh
  Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) with multiple inputs and multiple outputs. DEA-based Malmquist productivity index measures the productivity change over time. We propose a dynamic DEA model involving networ چکیده کامل

  Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) with multiple inputs and multiple outputs. DEA-based Malmquist productivity index measures the productivity change over time. We propose a dynamic DEA model involving network structure in each period within the framework a DEA. We have previously published the network DEA (NDEA) and the dynamic DEA (DDEA) models separately. Hence, this article is a composite of these two models. Vertically, we deal with multiple divisions connected by links of network structure within each period and, horizontally, we combine the network structure by means of cary-over activities between succeeding periods. We also introduce dynamic Malmquist index by which we can compare divisional performances over time پرونده مقاله
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  12 - Interval Malmquist Productivity Index in DEA
  N. Aghayi B.H. Maleki
  Data envelopment analysis is a method for evaluating the relative efficiency of a collection of decision making units. The DEA classic models calculate each unit’s efficiency in the best condition, meaning that finds a weight that the DMU is at its maximum efficie چکیده کامل

  Data envelopment analysis is a method for evaluating the relative efficiency of a collection of decision making units. The DEA classic models calculate each unit’s efficiency in the best condition, meaning that finds a weight that the DMU is at its maximum efficiency. In this paper, utilizing the directional distance function model in the presence of undesirable outputs, the efficiency of each unit has been calculated in the best and worst condition and an efficiency interval for each DMU is designated and then with aid from these efficiency interval, we present an interval for each unit with a proportionate Malmquist productivity index, that these intervals indicate the progression or regression of each DMU. پرونده مقاله
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  13 - کارایی و اثربخشی شرکتهای پذیرفته شده در بورس اوراق بهادار تهران: بر اساس راهبرد تنوع
  میثم دعائی بابوشکا شاوزی پور مهدی زمانی سبزی
  در دهۀ اخیر، تنوعسازی شرکتی موضوعی چالش برانگیز در میان مدیران شرکتها بوده است. تنوع سازیموضوعی حیاتی بر کارایی و بالأخص مؤثر بر محاسبه عملکرد مالی شرکت است. در ادبیات موضوع تحقیق درجهان، چندین پژوهش با عنوان بررسی رابطه میان تنوع سازی و عملکرد مالی وجود دارد. اما اجماع چکیده کامل

  در دهۀ اخیر، تنوعسازی شرکتی موضوعی چالش برانگیز در میان مدیران شرکتها بوده است. تنوع سازیموضوعی حیاتی بر کارایی و بالأخص مؤثر بر محاسبه عملکرد مالی شرکت است. در ادبیات موضوع تحقیق درجهان، چندین پژوهش با عنوان بررسی رابطه میان تنوع سازی و عملکرد مالی وجود دارد. اما اجماعی بر اینکهآیا شرکتهای متنوع کاراتر از شرکتهای متمرکزند یا بلعکس وجود ندارد. در این تحقیق، شرکتهایپذیرفته شده در بورس اوراق بهادار تهران بررسی شدهاند بطوریکه کارایی این شرکتها به روش تحلیل پوششیداده ها محاسبه شده و مدل ریاضی پیشنهادی برای بهبود کارایی شرکتهای ناکارا ارائه شده است. نهایتاً، شاخصبهره وری مالم کوئیست و تحلیل آن برای شرکتهای مذکور آورده شده است. پرونده مقاله
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  14 - Data ‎E‎nvelopment Analysis and Malmquist Index for Measuring Productivity of Inefficient ‎DMUs
  M. Shahkooeei‎ Farzad Rezai Balf M. Rabbani M. Fallah ‎Jelodar‎
  10.30495/ijim.2022.64370.1561
  Data envelopment analysis (DEA), is a non-parametric mathematical programming technique to evaluate the efficiency of a set of homogeneous decision-making units (DMUs), so that DMUs are evaluated into two groups, efficient and inefficient. According to the staggering co چکیده کامل

  Data envelopment analysis (DEA), is a non-parametric mathematical programming technique to evaluate the efficiency of a set of homogeneous decision-making units (DMUs), so that DMUs are evaluated into two groups, efficient and inefficient. According to the staggering costs in order to managing DMUs or organizations, maintaining some loss-making organizations are not cost-effective. Therefore, one of the concerns of managers in the discussion related to the financial problems of organizations is the maintenance or merger or elimination of inefficient organizations (inefficient DMUs). However, this article focuses on the performance of inefficient units. Therefore, we measure the productivity of inefficient DMUs using the revised Malmquist productivity index (MPI) to make a decision based on the maintenance or merger or elimination of these DMUs by decision makers (DMs). پرونده مقاله
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  15 - Imprecise Revenue Efficiency under Productivity Change
  Mohsen Rostamy-Malkhalifeh
  Traditional data envelopment analysis (DEA) models evaluate the performance of decision-making units (DMUs) with the exact data and do not assume evaluation in the condition that the environment is uncertain. When some data are unknown, such as interval data, the DEA mo چکیده کامل

  Traditional data envelopment analysis (DEA) models evaluate the performance of decision-making units (DMUs) with the exact data and do not assume evaluation in the condition that the environment is uncertain. When some data are unknown, such as interval data, the DEA model is called imprecise DEA (IDEA). In this paper, we develop a new Malmquist productivity index(MPI) for dealing with interval data in DEA. Then, an approach for measuring the Malmquist productivity index using revenue efficiency is extended, too. The capabilities of the presented approach are shown by means of an example. پرونده مقاله
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  16 - Cost Malmquist Productivity index in non competitive environment of price in Data Envelopment Analysis and the use of it in the dealings of the Iranian Stock Exchange
  Elham Rezaei hezaveh Reza Fallahnejad
  10.22034/amfa.2019.1879646.1302
  The Malmquist Index (MI) is a tool for analyzing the productivity. Considering its importance, different suggestions and studies have been offered on the Cost Malmquist Productivity Index (CMPI) according to existing conditions of decision making units (DMUs) and the av چکیده کامل

  The Malmquist Index (MI) is a tool for analyzing the productivity. Considering its importance, different suggestions and studies have been offered on the Cost Malmquist Productivity Index (CMPI) according to existing conditions of decision making units (DMUs) and the available data. The present research aimed to provide a CMPI in a non-competitive environment in which the price data changes from one evaluation unit to another. Given the deficiency of Farrel’s cost efficiency (1957) and also the cost efficiency model presented by Tone (2002), and by taking advantage of the idea of changing the productivity of DMUs at different time periods, we presented cost Malmquist Productivity Index in the presence of non-identical prices for various DMUs, Then, we evaluate the data of the Iranian Stock Exchange by aforementioned Cost Malmquist Productivity index پرونده مقاله
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  17 - Malmquist Productivity Index under Fuzzy Environment
  Pejman Peykani Fatemeh Sadat Seyed Esmaeili
  10.30495/fomj.2021.1940660.1038
  The integration of data envelopment analysis (DEA) approach and Malmquist productivity index (MPI) is one of the popular and powerful techniques in order to calculate of changes in productivity of homogeneous decision making units (DMUs) over different time periods. In چکیده کامل

  The integration of data envelopment analysis (DEA) approach and Malmquist productivity index (MPI) is one of the popular and powerful techniques in order to calculate of changes in productivity of homogeneous decision making units (DMUs) over different time periods. In this paper, an extended Malmquist productivity index will be presented that is capable to be employed in the presence of fuzzy data and linguistic variables. It should be noted that possibilistic programming (PP) as well as chance-constrained programming (CCP) approaches are applied to handle data ambiguity. The implementation of the proposed fuzzy Malmquist productivity index (FMPI) is illustrated by a numerical example under triangular fuzzy data. Finally, the results show the applicability and efficacy of the extended MPI to calculate the changes of productivity of DMUs under fuzzy environment. پرونده مقاله
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  18 - Eco-Efficiency Evaluation in Two-Stage Network Structure: Case Study: Cement Companies
  Mirpouya Mirmozaffari
  The cement industry, as a primary trade, plays an important role in the development of a country's organization. This industry in Iran, however, despite of profuse benefits such as high-value mines, faces many challenges. Problems such as exploitation of the production چکیده کامل

  The cement industry, as a primary trade, plays an important role in the development of a country's organization. This industry in Iran, however, despite of profuse benefits such as high-value mines, faces many challenges. Problems such as exploitation of the production require the need for doing research into this area. The main purpose of this paper is to examine the Eco-efficiency in Iran's 22 local cement companies over 2012-2016. This paper develops a Charnes, Cooper & Rhodes input oriented (CCRIO) Data Envelopment Analysis (DEA) approach for measuring the efficiency of decision processes which can be separated into two stages. The first stage uses its specific inputs to produce outputs, which part of them are consequently considered as the inputs of the second stage. The first stage is considered as the production stage and the second stage as the pollution control stage. A novel converting two-stage to one stage model is proposed to obtain the Eco-efficiency. Consequently, Malmquist productivity index (MPI) is computed to assess productivity. Although DEA is a respected method for evaluating, it fails to extract unknown information. In this study data mining decision tree and Apriori algorithms are used to extract hidden rules, and to remove unrelated data. پرونده مقاله
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  19 - An Analysis of the COVID-19 Contagion Growth in European Countries
  هادی شیرویه زاد جاوید جوزدانی مزدک خدادادی کریموند
  The COVID-19 pandemic has affected many people around the globe. Europe, as one of the most seriously affected continents, has been struggling with the novel coronavirus for several months. Obviously, outbreak response management plays a critical role in the impact of t چکیده کامل

  The COVID-19 pandemic has affected many people around the globe. Europe, as one of the most seriously affected continents, has been struggling with the novel coronavirus for several months. Obviously, outbreak response management plays a critical role in the impact of the disease. Therefore, in this paper, Malmquist Productivity Index is used to evaluate the performance of the most severely affected European countries based on the average contagion rate. The results rank the countries and provides insight for the future. پرونده مقاله
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  20 - How to Target Balanced Scorecard Indicators in a DEA-BSC Integrated Model
  محمد فلاح اسماعیل نجفی
  Performance measurement is always one of the most important tasks of managers, so knowledge management is measurement knowledge, and if we can measure something, we can no doubt control it, and therefore we cannot manage it. In this paper, according to the Malmquist pro چکیده کامل

  Performance measurement is always one of the most important tasks of managers, so knowledge management is measurement knowledge, and if we can measure something, we can no doubt control it, and therefore we cannot manage it. In this paper, according to the Malmquist productivity index, an index is used to determine the progress and regress of a unit. This index is defined by the boundary changes resulting from the inputs of the units and their efficiency changes, which we call the Malmquist Productivity Index. After calculating the Malmquist changes, we were able to determine the rate of increase or decrease in the indicators for the following period. پرونده مقاله
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  21 - The interval Malmquist productivity index in DEA
  ف. رضایی بالف ف. حسین زاده لطفی م. علیزاده افروزی
  One of the most popular approaches to measuring productivity changes is basedon using Malmquist productivity indexes. In this paper we propose a method forobtaining interval Malmquist productivity index (IMPI). The classical DEAmodels have been before used for measuring چکیده کامل

  One of the most popular approaches to measuring productivity changes is basedon using Malmquist productivity indexes. In this paper we propose a method forobtaining interval Malmquist productivity index (IMPI). The classical DEAmodels have been before used for measuring the Malmquist productivity index.The current article extends DEA models for measuring the interval Malmquistproductivity index by utilize the bounded DEA models instead of classical DEAmodels. پرونده مقاله
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  22 - Impact of information technology on productivity and efficiency in Iranian manufacturing industries
  Amir Gholam Abri Mahmoud Mahmoudzadeh
  The aim of this paper is to assess the impact of information technology (IT) on the productivity and efficiency of manufacturing industries in Iran. So, the data will be collected from 23 Iranian manufacturing industries during “2002–2006” and the meth چکیده کامل

  The aim of this paper is to assess the impact of information technology (IT) on the productivity and efficiency of manufacturing industries in Iran. So, the data will be collected from 23 Iranian manufacturing industries during “2002–2006” and the methods such as DEA and panel data used to study the subject. Results obtained by the above two methods represent that IT has a positive and statistically significant effect on the productivity of manufacturing industries. It will be more in high IT-intensive industries than the other industries. But, there is no significant difference between the growth of labor productivity in IT-producing and IT-using industries. پرونده مقاله
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  23 - Estimating multi-period global cost efficiency and productivity change of systems with network structures
  S. Tohidnia G. Tohidi
  The current paper develops three different ways to measure the multi-period global cost efficiency for homogeneous networks of processes when the prices of exogenous inputs are known at all time periods. A multi-period network data envelopment analysis model is presente چکیده کامل

  The current paper develops three different ways to measure the multi-period global cost efficiency for homogeneous networks of processes when the prices of exogenous inputs are known at all time periods. A multi-period network data envelopment analysis model is presented to measure the minimum cost of the network system based on the global production possibility set. We show that there is a relationship between the multi-period global cost efficiency of network system and its subsystems, and also its processes. The proposed model is applied to compute the global cost Malmquist productivity index for measuring the productivity changes of network system and each of its process between two time periods. This index is circular. Furthermore, we show that the productivity changes of network system can be defined as a weighted average of the process productivity changes. Finally, a numerical example will be presented to illustrate the proposed approach. پرونده مقاله