Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import

<!DOCTYPE html>    <html>  <head> <meta charset="utf-8" /> <title>Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import</title>  <link rel="shortcut icon" type="image/ico" href="./data/ijsom/coversheet/favicon.ico" />  <meta name="viewport" content="width=device-width, maximum-scale=1, initial-scale=1, user-scalable=0" />   <meta name="keywords" content="Data envelopment analysis (DEA),Slack Based measure DEA Model,Best Worst Method (BWM),Trader,Rating, Efficiency" /> <meta name="description" content="One of the important issues in Iran is to monitor imports and business processes as well as exchange rates. Given the government’s supportive policies for traders, how to implement these policies is challenging. An strategy to implement targeted oversight and policies is to control the actions of active traders based on their background. Data Envelopment Analysis (DEA) is one of the key tools to achieve this goal. The present research is based on Slack-Based Measure DEA Model (SBM-DEA) with an output-based approach which rates traders using real data as well as their background. In this model, 30 input indicators and six output indicators were first considered. Subsequently, given the correlation between them, the number was reduced to five input and four output indicators. After the extraction of effective input and output indicators, traders’ efficiency was measured and rated using DEA model. Then, well-respected traders would receive facilities and various supports. To evaluate the performance of the model, the traders also were ranked using the Best Worst Method (BWM and after results shows better performance of the DEA model. Another result and application is the use of reference decision-making units, who indicate traders that are expected to have good performance by the market knowledge. Recognizing these units allows policy-makers to reduce other traders’ risk by disseminating their behavior. Another important application is traders’ classifications. By knowing the traders, the policy-maker reference can make a good classification of them, which is necessary for different resource allocation or facilitating policies." /> <meta name="title" content="Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import" /> <meta name="googlebot" content="NOODP" /> <meta name="citation_title" content="Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import" /> <meta name="citation_author" content="Fesanghari, Mehdi" /> <meta name="citation_author_institution" content="Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran" /> <meta name="citation_author" content="Ameli, Mariam" /> <meta name="citation_author_institution" content="Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran" /> <meta name="citation_author" content="Izadbakhsh, Hamidreza" /> <meta name="citation_author_institution" content="Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran" /> <meta name="citation_abstract" content="One of the important issues in Iran is to monitor imports and business processes as well as exchange rates. Given the government’s supportive policies for traders, how to implement these policies is challenging. An strategy to implement targeted oversight and policies is to control the actions of active traders based on their background. Data Envelopment Analysis (DEA) is one of the key tools to achieve this goal. The present research is based on Slack-Based Measure DEA Model (SBM-DEA) with an output-based approach which rates traders using real data as well as their background. In this model, 30 input indicators and six output indicators were first considered. Subsequently, given the correlation between them, the number was reduced to five input and four output indicators. After the extraction of effective input and output indicators, traders’ efficiency was measured and rated using DEA model. Then, well-respected traders would receive facilities and various supports. To evaluate the performance of the model, the traders also were ranked using the Best Worst Method (BWM and after results shows better performance of the DEA model. Another result and application is the use of reference decision-making units, who indicate traders that are expected to have good performance by the market knowledge. Recognizing these units allows policy-makers to reduce other traders’ risk by disseminating their behavior. Another important application is traders’ classifications. By knowing the traders, the policy-maker reference can make a good classification of them, which is necessary for different resource allocation or facilitating policies." /> <meta name="citation_id" content="2924" /> <meta name="citation_publication_date" content="2024/02/01" /> <meta name="citation_date" content="2024-02-01" /> <meta name="citation_journal_title" content="International Journal of Supply and Operations Management" /> <meta name="citation_issn" content="23831359" /> <meta name="citation_volume" content="11" /> <meta name="citation_issue" content="1" /> <meta name="citation_firstpage" content="100" /> <meta name="citation_lastpage" content="113" /> <meta name="citation_publisher" content="Kharazmi University" /> <meta name="citation_doi" content="10.22034/ijsom.2023.108137.1572" /> <meta name="DC.Identifier" content="10.22034/ijsom.2023.108137.1572" /> <meta name="citation_abstract_html_url" content="http://www.ijsom.com/article_2924.html" /> <meta name="citation_pdf_url" content="http://www.ijsom.com/article_2924_2f5c3ddeac2e15ff163723f279b805be.pdf" /> <meta name="DC.Title" content="Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import" /> <meta name="DC.Source" content="International Journal of Supply and Operations Management" /> <meta name="DC.Date" content="01/02/2024" /> <meta name="DC.Date.issued" content="2024-02-01" /> <meta name="DC.Format" content="application/pdf" /> <meta name="DC.Contributor" content="Fesanghari, Mehdi" /> <meta name="DC.Contributor" content="Ameli, Mariam" /> <meta name="DC.Contributor" content="Izadbakhsh, Hamidreza" /> <meta name="og:title" content="Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import" /> <meta name="og:description" content="One of the important issues in Iran is to monitor imports and business processes as well as exchange rates. Given the government’s supportive policies for traders, how to implement these policies is challenging. An strategy to implement targeted oversight and policies is to control the actions of active traders based on their background. Data Envelopment Analysis (DEA) is one of the key tools to achieve this goal. The present research is based on Slack-Based Measure DEA Model (SBM-DEA) with an output-based approach which rates traders using real data as well as their background. In this model, 30 input indicators and six output indicators were first considered. Subsequently, given the correlation between them, the number was reduced to five input and four output indicators. After the extraction of effective input and output indicators, traders’ efficiency was measured and rated using DEA model. Then, well-respected traders would receive facilities and various supports. To evaluate the performance of the model, the traders also were ranked using the Best Worst Method (BWM and after results shows better performance of the DEA model. Another result and application is the use of reference decision-making units, who indicate traders that are expected to have good performance by the market knowledge. Recognizing these units allows policy-makers to reduce other traders’ risk by disseminating their behavior. Another important application is traders’ classifications. By knowing the traders, the policy-maker reference can make a good classification of them, which is necessary for different resource allocation or facilitating policies." /> <meta name="og:url" content="http://www.ijsom.com/article_2924.html" />  <link href="./themes/base/front/assets/css/social-icon-font.css" rel="stylesheet" type="text/css" />  <link href="./themes/base/front/assets/plugins/bootstrap/css/bootstrap.min.css?v=0.02" rel="stylesheet" type="text/css" /> <link href="./themes/old/front/assets/css/header.css?v=0.05" rel="stylesheet" type="text/css" /> <link href="./themes/old/front/assets/css/footer.css" rel="stylesheet" type="text/css" /> <link href="./inc/css/essentials.css?v=0.2" rel="stylesheet" type="text/css" /> <link href="./inc/css/cookieconsent.min.css" rel="stylesheet" type="text/css" /> <link href="./inc/css/print.css" rel="stylesheet" type="text/css" media="print"/>  <link href="./themes/base/front/assets/plugins/bootstrap/css/bootstrap-ltr.min.css" rel="stylesheet" type="text/css" /> <link href=" ./themes/base/front/assets/css/gfonts-OpenSans.css" rel="stylesheet" type="text/css" /> <link href="./themes/old/front/assets/css/accordian.css" rel="stylesheet" type="text/css" /> <link href="./themes/base/front/assets/css/academicons.min.css" rel="stylesheet" type="text/css" />  <meta name="google-site-verification" content="UlbWpwabckk_wTgRmzoJCVPEYKnomtCLcftujpXdou4" /> <link href="./data/ijsom/coversheet/stl_front.css?v=0.59" rel="stylesheet" type="text/css" /> <link href="./data/ijsom/coversheet/stl.css" rel="stylesheet" type="text/css" />  <link rel="alternate" type="application/rss+xml" title="RSS feed" href="ju.rss" /> <script type="text/javascript" src="./themes/base/front/assets/plugins/jquery/jquery.min.js?v=0.5"></script> <script type="text/javascript" src="./inc/js/common.js?v=0.1"></script> <script type="text/javascript" src="./inc/js/jquery/cookieconsent.min.js"></script>   <script src="inc/js/article.js?v=0.31" type="text/javascript" ></script> </head> <body class="ltr len"> <div class="container" id="header"> <div class="row"> <div class="col-xs-12 text-center"> <img src="./data/ijsom/coversheet/head_en.jpg" class="img-responsive text-center" style="display:-webkit-inline-box; 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Given the government’s supportive policies for traders, how to implement these policies is challenging. An strategy to implement targeted oversight and policies is to control the actions of active traders based on their background. Data Envelopment Analysis (DEA) is one of the key tools to achieve this goal. The present research is based on Slack-Based Measure DEA Model (SBM-DEA) with an output-based approach which rates traders using real data as well as their background. In this model, 30 input indicators and six output indicators were first considered. Subsequently, given the correlation between them, the number was reduced to five input and four output indicators. After the extraction of effective input and output indicators, traders’ efficiency was measured and rated using DEA model. Then, well-respected traders would receive facilities and various supports. To evaluate the performance of the model, the traders also were ranked using the Best Worst Method (BWM and after results shows better performance of the DEA model. Another result and application is the use of reference decision-making units, who indicate traders that are expected to have good performance by the market knowledge. Recognizing these units allows policy-makers to reduce other traders’ risk by disseminating their behavior. Another important application is traders’ classifications. By knowing the traders, the policy-maker reference can make a good classification of them, which is necessary for different resource allocation or facilitating policies.</div> <p class="padding-0" style="margin:12px -2px 0 -2px"><strong>Keywords</strong></p> <ul class="block list-inline list-inline-seprator margin-bottom-6 ltr"> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=105538&_kw=Data+Envelopment+Analysis+%28DEA%29" >Data Envelopment Analysis (DEA)</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106467&_kw=Slack+Based+Measure+DEA+Model" >Slack Based Measure DEA Model</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106468&_kw=Best+Worst+Method+%28BWM%29" >Best Worst Method (BWM)</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106469&_kw=Trader" >Trader</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106484&_kw=Rating%2C+Efficiency" >Rating, Efficiency</a> </li> </ul> </div> <hr> <div class="page_break"></div> <div class="panel"> <div class="panel-heading card-header"> <h4 class="panel-title "> <a data-toggle="collapse" data-parent="#accordions" href="#collapsesRef"><i class="fa fa-plus"></i> References</a> </h4> </div> <div id="collapsesRef" class="panel-collapse collapse"> <div class="panel-body justify"> <div class="padding-3 margin-top-3 ltr justify">Ali Heidari, T. 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(1999). <em>Econometric analysis of economic and environmental efficiency of Dutch dairy farms</em>, Wageningen University. </div> <div class="padding-3 margin-top-3 ltr justify">Reinhard, S., Lovell, C. K., & Thijssen, G. (1999). Econometric estimation of technical and environmental efficiency: an application to Dutch dairy farms. <em>American Journal of Agricultural Economics</em>,<em> 81</em>, 44-60. https://doi.org/10.2307/1244449. </div> <div class="padding-3 margin-top-3 ltr justify">Rezaei, J. (2015). Best-worst multi-criteria decision-making method. <em>Omega, 53</em>, 49-57. https://doi.org/10.1016/j.omega.2014.11.009. </div> <div class="padding-3 margin-top-3 ltr justify">Rezaeiani, M. J., & Foroughi, A. A. (2018). Ranking efficient decision making units in data envelopment analysis based on reference frontier share. <em>European Journal of Operational Research, 264</em>, 665-674. https://doi.org/10.1016/j.ejor.2017.06.064. </div> <div class="padding-3 margin-top-3 ltr justify">Sadeghi, E., Miri Lavasani, M.R., Rostai Malkhalife, M., & Khanmohammadi, M. (2023). Evaluating the performance of Iranian insurance companies using efficiency measurement method based on modified slack-based measure in the network data envelopment analysis approach<em>. International Journal of Finance & Managerial Accounting, 8</em>(29), 25-41. <a href="https://doi.org/10.30495/ijfma.2022.65330.1788">https://doi.org/10.30495/ijfma.2022.65330.1788</a>. </div> <div class="padding-3 margin-top-3 ltr justify">Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. <em>European Journal of Operational Research, 130</em>, 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5. </div> <div class="padding-3 margin-top-3 ltr justify">Tu, J., Wu, Z., & Pedrycz, W. (2023). Priority ranking for the best-worst method. <em>Information Sciences, 635</em>, 42-55. https://doi.org/10.1016/j.ins.2023.03.110. </div> <div class="padding-3 margin-top-3 ltr justify">Vahabzadeh Najafi, N., Arshadi Khamseh, A. (2023). Green Ports Assessment Model regarding Uncertainty by Best-Worst and Hesitant Fuzzy VIKOR Methods: Iranian Ports. <em>International Journal of Supply and Operations Management.</em> <a href="https://doi.org/10.22034/ijsom.2023.109553.2477">https://doi.org/10.22034/ijsom.2023.109553.2477</a>. </div> <div class="padding-3 margin-top-3 ltr justify">Zhu, Q., Wu, J., & Song, M. (2018). Efficiency evaluation based on data envelopment analysis in the big data context. <em>Computers & Operations Research,</em> <em>98</em>, 291-300. https://doi.org/10.1016/j.cor.2017.06.017.</div> </div> </div> </div> </div> </div>   <div class="col-lg-3 col-md-3 col-sm-4"> <div class="panel panel-default my_panel-default margin-bottom-10"> <div class="panel-body ar_info_pnl" id="ar_info_pnl_cover"> <div id="pnl_cover"> <div class="row" > <div class="col-xs-6 col-md-6 nomargin-bottom"> <a href="javascript:loadModal('International Journal of Supply and Operations Management', './data/ijsom/coversheet/cover_en.jpg')"> <img src="data/ijsom/coversheet/cover_en.jpg" alt="International Journal of Supply and Operations Management" style="width: 100%;"> </a> </div> <div class="col-xs-6 col-md-6 nomargin-bottom"> <h6><a href="./issue_542_543.html">Volume 11, Issue 1</a><br/>February 2024<div id="sp_ar_pages">Pages <span dir="ltr">100-113</span></div></h6> </div> </div> </div> </div> </div>  <div 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(2024). Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import. <em>International Journal of Supply and Operations Management</em>, 11(1), 100-113. doi: 10.22034/ijsom.2023.108137.1572</p> </div> </div> </div> </div> <div id="cite-mla" class="modal fade" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content">  <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">MLA</h4> </div>  <div class="modal-body"> <p>Mehdi Fesanghari; mariam ameli; hamidreza Izadbakhsh. "Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import". <em>International Journal of Supply and Operations Management</em>, 11, 1, 2024, 100-113. doi: 10.22034/ijsom.2023.108137.1572</p> </div> </div> </div> </div> <div id="cite-harvard" class="modal fade" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content">  <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">HARVARD</h4> </div>  <div class="modal-body"> <p>Fesanghari, M., ameli, M., Izadbakhsh, H. (2024). 'Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import', <em>International Journal of Supply and Operations Management</em>, 11(1), pp. 100-113. doi: 10.22034/ijsom.2023.108137.1572</p> </div> </div> </div> </div> <div id="cite-vancouver" class="modal fade" tabindex="-1" role="dialog" aria-labelledby="myModalLabel" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content">  <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">VANCOUVER</h4> </div>  <div class="modal-body"> <p>Fesanghari, M., ameli, M., Izadbakhsh, H. Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import. <em>International Journal of Supply and Operations Management</em>, 2024; 11(1): 100-113. doi: 10.22034/ijsom.2023.108137.1572</p> </div> </div> </div> </div> </div> </div>   <section class="alternate padding-xxs"> </section>   <div class="container"> <footer id="footer"> <div class="scrollup" id="scroll" href="#"><span></span></div> <div class="row"> <div class="col-md-2">  <h4 class="">Explore Journal</h4> <ul class="footer-links list-unstyled"> <li id="fli_home"><a href="./">Home</a></li> <li id="fli_about"><a href="./journal/about">About Journal</a></li> <li id="fli_Edb"><a href="./journal/editorial.board">Editorial Board</a></li> <li id="fli_submit"><a href="./author">Submit Manuscript</a></li> <li id="fli_contactus"><a href="./journal/contact.us">Contact Us</a></li> <li id="fli_glossary"><a href="./journal/glossary">Glossary</a></li> <li id="fli_order_hrdj"><a href="./journal/subscription.form">Hard Copy Subscription</a></li> <li id="fli_sitemap"><a href="./sitemap.xml?usr">Sitemap</a></li> </ul>  </div> <div class="col-md-3">  <h4 class="">Latest News</h4> <ul class="footer-posts list-unstyled"> <li> <a href="./news?newsCode=173">SD of ISC: Sustainable Development of Intelligent Supply Chains based on Trends and Future Directions: Application of Novel Solution Techniques</a> <small class="ltr">2023-03-05</small> </li> </ul>  </div> <div class="col-md-3">  <div><p><a title="Linkedin" href="http://www.linkedin.com/company/ijsom?trk=eml-cp_mktg-btn-welcome-20120607%2F"><img src="images/linkedin.jpg" alt="linkedin" /></a></p></div>  </div> <div class="col-md-4">  <h4 class="">Newsletter Subscription</h4> <p>Subscribe to the journal newsletter and receive the latest news and updates</p> <form class="validate" action="" method="post" data-success="Subscription saved successfully." data-toastr-position="bottom-right"> <input type="hidden" name="_token" value="092d23acc28e5866e9b14487d2928d1a51af357cb753fdb0"/> <div class="input-group"> <span class="input-group-addon"><i class="fa fa-envelope"></i></span> <input type="email" id="email" name="email" required="required" class="form-control required sbs_email" placeholder="Enter your Email" oninvalid="this.setCustomValidity('Enter a valid email address.')" oninput="this.setCustomValidity('')"> <span class="input-group-btn"> <button class="btn btn-primary mybtn" type="submit">Subscribe</button> </span> </div> </form>   <div class="margin-top-20"> <a class="noborder" href="" target="_blank" class="social-icon social-icon-border social-facebook pull-left block" data-toggle="tooltip" data-placement="top" title="Facebook"> <i class="fa fa-facebook-square" aria-hidden="true"></i> </a> <a class="noborder" href="" target="_blank" class="social-icon social-icon-border social-facebook pull-left block" data-toggle="tooltip" data-placement="top" title="Twitter"> <i class="fa fa-twitter-square" aria-hidden="true"></i> </a> <a class="noborder" href="" target="_blank" class="social-icon social-icon-border social-facebook pull-left block" data-toggle="tooltip" data-placement="top" title="Linkedin"> <i class="fa fa-linkedin-square" aria-hidden="true"></i> </a> <a class="noborder" href="./ju.rss" class="social-icon social-icon-border social-rss pull-left block" data-toggle="tooltip" data-placement="top" title="Rss"><i class="fa fa-rss-square" aria-hidden="true"></i></a> </div> </div> </div> <div class="copyright" style="position: relative"> <ul class="nomargin list-inline mobile-block"> <li>© Journal Management System. <span id='sp_crt'>Powered by <a target='_blank' href='https://www.sinaweb.net/'>Sinaweb</a></span></li> </ul> </div> </footer> </div>  </div>   <a href="#" id="toTop_old"></a>  <div id="preloader"> <div class="inner"> <span class="loader"></span> </div> </div>  <script type="text/javascript">var plugin_path = './themes/base/front/assets/plugins/';</script> <script type="text/javascript" src="./themes/base/front/assets/js/scripts.js?v=0.02"></script>   <script type="text/javascript"> $('ul.nav li.dropdown').hover(function() { if (window.matchMedia('(max-width: 767px)').matches) return; 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Credit Rating of Commercial Companies Using Data Envelopment Analysis (DEA) Model: A Case Study of 100 Iranian Active Commercial Companies in Import