A Novel Computational Framework for Comparing CSR Performance: Evidence from India

<!DOCTYPE html>    <html>  <head> <meta charset="utf-8" /> <title>A Novel Computational Framework for Comparing CSR Performance: Evidence from India</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="Corporate social responsibility,Firm performance,Logarithmic Percentage Change-driven Objective Weighting,Proximity Index Value Method" /> <meta name="description" content="The present work has three broad objectives. First, it intends to develop a novel objective measurement framework for comparing corporate social responsibility (CSR) performance. The extant literature shows a plenty of work has been done for exploring the benefits of CSR. But there is a limitation of work that provides a multi-criteria based objective measurement of CSR performance in financial terms. The second objective of the current work is to examine the impact of the recent COVID-19 on CSR performance of Indian firms. Thirdly, the present study proposes a new hybrid multi-criteria decision making (MCDM) framework with multiple normalizations using two recent models such as Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and Proximity Index Value (PIV) methods. In line with the objectives set, the ongoing work defines a new set of indicating variables to compare CSR performance from the perspectives of major stakeholders such as customer, society, government, employee, environment and shareholders. Top 20 manufacturing firms listed in the Bombay Stock Exchange (BSE)-100 in India have been selected for comparison. The study period is considered as FY 2019-20 (before pandemic) and FY 2020-21 (after pandemic). It is seen that the firms having higher market capitalization did well in their CSR performance. We observe that the overall CSR performance has not undergone any substantial changes. Further, post COVID-19 more firms from the drugs and pharmaceutical category could able to enter the top bracket. To test the reliability, a comparison with another MCDM models has been done and result is found satisfactory. The sensitivity analysis (SA) has also been conducted to investigate the stability in the outcome of the proposed model. The present work provides the policy makers a stable and reliable MCDM framework for analyzing and accessing their CSR performance with peers and evaluate their market standing to take decisions for future course of action." /> <meta name="title" content="A Novel Computational Framework for Comparing CSR Performance: Evidence from India" /> <meta name="googlebot" content="NOODP" /> <meta name="citation_title" content="A Novel Computational Framework for Comparing CSR Performance: Evidence from India" /> <meta name="citation_author" content="Biswas, Sanjib" /> <meta name="citation_author_institution" content="Assistant Professor, Calcutta Business School" /> <meta name="citation_author" content="Joshi, Neha" /> <meta name="citation_author_institution" content="Finance Area, Calcutta Business School" /> <meta name="citation_author" content="Kar, Samarjit" /> <meta name="citation_author_institution" content="Department of Mathematics NIT Durgapur, West Bengal, India" /> <meta name="citation_abstract" content="The present work has three broad objectives. First, it intends to develop a novel objective measurement framework for comparing corporate social responsibility (CSR) performance. The extant literature shows a plenty of work has been done for exploring the benefits of CSR. But there is a limitation of work that provides a multi-criteria based objective measurement of CSR performance in financial terms. The second objective of the current work is to examine the impact of the recent COVID-19 on CSR performance of Indian firms. Thirdly, the present study proposes a new hybrid multi-criteria decision making (MCDM) framework with multiple normalizations using two recent models such as Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and Proximity Index Value (PIV) methods. In line with the objectives set, the ongoing work defines a new set of indicating variables to compare CSR performance from the perspectives of major stakeholders such as customer, society, government, employee, environment and shareholders. Top 20 manufacturing firms listed in the Bombay Stock Exchange (BSE)-100 in India have been selected for comparison. The study period is considered as FY 2019-20 (before pandemic) and FY 2020-21 (after pandemic). It is seen that the firms having higher market capitalization did well in their CSR performance. We observe that the overall CSR performance has not undergone any substantial changes. Further, post COVID-19 more firms from the drugs and pharmaceutical category could able to enter the top bracket. To test the reliability, a comparison with another MCDM models has been done and result is found satisfactory. The sensitivity analysis (SA) has also been conducted to investigate the stability in the outcome of the proposed model. The present work provides the policy makers a stable and reliable MCDM framework for analyzing and accessing their CSR performance with peers and evaluate their market standing to take decisions for future course of action." /> <meta name="citation_id" content="2920" /> <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="19" /> <meta name="citation_lastpage" content="42" /> <meta name="citation_publisher" content="Kharazmi University" /> <meta name="citation_doi" content="10.22034/ijsom.2023.110009.2816" /> <meta name="DC.Identifier" content="10.22034/ijsom.2023.110009.2816" /> <meta name="citation_abstract_html_url" content="http://www.ijsom.com/article_2920.html" /> <meta name="citation_pdf_url" content="http://www.ijsom.com/article_2920_b5ee074962eeedd0ef28f75bd5a06c4c.pdf" /> <meta name="DC.Title" content="A Novel Computational Framework for Comparing CSR Performance: Evidence from India" /> <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="Biswas, Sanjib" /> <meta name="DC.Contributor" content="Joshi, Neha" /> <meta name="DC.Contributor" content="Kar, Samarjit" /> <meta name="og:title" content="A Novel Computational Framework for Comparing CSR Performance: Evidence from India" /> <meta name="og:description" content="The present work has three broad objectives. First, it intends to develop a novel objective measurement framework for comparing corporate social responsibility (CSR) performance. The extant literature shows a plenty of work has been done for exploring the benefits of CSR. But there is a limitation of work that provides a multi-criteria based objective measurement of CSR performance in financial terms. The second objective of the current work is to examine the impact of the recent COVID-19 on CSR performance of Indian firms. Thirdly, the present study proposes a new hybrid multi-criteria decision making (MCDM) framework with multiple normalizations using two recent models such as Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and Proximity Index Value (PIV) methods. In line with the objectives set, the ongoing work defines a new set of indicating variables to compare CSR performance from the perspectives of major stakeholders such as customer, society, government, employee, environment and shareholders. Top 20 manufacturing firms listed in the Bombay Stock Exchange (BSE)-100 in India have been selected for comparison. The study period is considered as FY 2019-20 (before pandemic) and FY 2020-21 (after pandemic). It is seen that the firms having higher market capitalization did well in their CSR performance. We observe that the overall CSR performance has not undergone any substantial changes. Further, post COVID-19 more firms from the drugs and pharmaceutical category could able to enter the top bracket. To test the reliability, a comparison with another MCDM models has been done and result is found satisfactory. The sensitivity analysis (SA) has also been conducted to investigate the stability in the outcome of the proposed model. The present work provides the policy makers a stable and reliable MCDM framework for analyzing and accessing their CSR performance with peers and evaluate their market standing to take decisions for future course of action." /> <meta name="og:url" content="http://www.ijsom.com/article_2920.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 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-2px"><strong>Authors</strong></p> <ul class="list-inline list-inline-seprator margin-bottom-6 ltr"> <li class="padding-3"> <a href="./?_action=article&au=129903&_au=Sanjib++Biswas">Sanjib Biswas</a> <sup><a href="mailto:sanjibb@acm.org" data-toggle="tooltip" data-placement="bottom" title="Email to Corresponding Author"><i class="fa fa-envelope-o" ></i></a></sup> <sup class="ltr"><a class=" text-green" href="https://www.orcid.org/0000-0002-9243-2403" data-toggle="tooltip" data-placement="bottom" data-html="true" title="ORCID: 0000-0002-9243-2403" target="_blank"><i class="ai ai-orcid size-13" ></i></a></sup> <sup><a href="#aff1" >1</a></sup> </li> <li class="padding-3"> <a href="./?_action=article&au=130376&_au=Neha++Joshi">Neha Joshi</a> <sup class="ltr"><a class=" text-green" href="https://www.orcid.org/0000-0003-4496-9975" data-toggle="tooltip" data-placement="bottom" data-html="true" title="ORCID: 0000-0003-4496-9975" target="_blank"><i class="ai ai-orcid size-13" ></i></a></sup> <sup><a href="#aff2" >2</a></sup> </li> <li class="padding-3"> <a href="./?_action=article&au=129907&_au=Samarjit++Kar">Samarjit Kar</a> <sup><a href="#aff3" >3</a></sup> </li> </ul> <p class="margin-bottom-3 ltr" id="aff1"> <sup>1</sup> Assistant Professor, Calcutta Business School </p> <p class="margin-bottom-3 ltr" id="aff2"> <sup>2</sup> Finance Area, Calcutta Business School </p> <p class="margin-bottom-3 ltr" id="aff3"> <sup>3</sup> Department of Mathematics NIT Durgapur, West Bengal, India </p> <div class="margin-bottom-3 ltr" id="ar_doi" title="DOI"><i class="ai ai-doi size-25 text-orange"></i> <span dir="ltr"><a href="https://dx.doi.org/10.22034/ijsom.2023.110009.2816">10.22034/ijsom.2023.110009.2816</a></span></div> <p style="margin:12px -2px 0 -2px"><strong>Abstract</strong></p> <div class="padding_abstract justify ltr">The present work has three broad objectives. First, it intends to develop a novel objective measurement framework for comparing corporate social responsibility (CSR) performance. The extant literature shows a plenty of work has been done for exploring the benefits of CSR. But there is a limitation of work that provides a multi-criteria based objective measurement of CSR performance in financial terms. The second objective of the current work is to examine the impact of the recent COVID-19 on CSR performance of Indian firms. Thirdly, the present study proposes a new hybrid multi-criteria decision making (MCDM) framework with multiple normalizations using two recent models such as Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and Proximity Index Value (PIV) methods. In line with the objectives set, the ongoing work defines a new set of indicating variables to compare CSR performance from the perspectives of major stakeholders such as customer, society, government, employee, environment and shareholders. Top 20 manufacturing firms listed in the Bombay Stock Exchange (BSE)-100 in India have been selected for comparison. The study period is considered as FY 2019-20 (before pandemic) and FY 2020-21 (after pandemic). It is seen that the firms having higher market capitalization did well in their CSR performance. We observe that the overall CSR performance has not undergone any substantial changes. Further, post COVID-19 more firms from the drugs and pharmaceutical category could able to enter the top bracket. To test the reliability, a comparison with another MCDM models has been done and result is found satisfactory. The sensitivity analysis (SA) has also been conducted to investigate the stability in the outcome of the proposed model. The present work provides the policy makers a stable and reliable MCDM framework for analyzing and accessing their CSR performance with peers and evaluate their market standing to take decisions for future course of action.</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=106141&_kw=Corporate+Social+Responsibility" >Corporate Social Responsibility</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=105853&_kw=Firm+Performance" >Firm Performance</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106452&_kw=Logarithmic+Percentage+Change-driven+Objective+Weighting" >Logarithmic Percentage Change-driven Objective Weighting</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106453&_kw=Proximity+Index+Value+Method" >Proximity Index Value Method</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">Adebanjo, D., Teh, P. 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(2024). A Novel Computational Framework for Comparing CSR Performance: Evidence from India. <em>International Journal of Supply and Operations Management</em>, 11(1), 19-42. doi: 10.22034/ijsom.2023.110009.2816</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>Sanjib Biswas; Neha Joshi; Samarjit Kar. "A Novel Computational Framework for Comparing CSR Performance: Evidence from India". <em>International Journal of Supply and Operations Management</em>, 11, 1, 2024, 19-42. doi: 10.22034/ijsom.2023.110009.2816</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>Biswas, S., Joshi, N., Kar, S. (2024). 'A Novel Computational Framework for Comparing CSR Performance: Evidence from India', <em>International Journal of Supply and Operations Management</em>, 11(1), pp. 19-42. doi: 10.22034/ijsom.2023.110009.2816</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>Biswas, S., Joshi, N., Kar, S. A Novel Computational Framework for Comparing CSR Performance: Evidence from India. <em>International Journal of Supply and Operations Management</em>, 2024; 11(1): 19-42. doi: 10.22034/ijsom.2023.110009.2816</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="152b2ce39278c2ab34755d355526f50e0d2b71ba98d79bce"/> <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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A Novel Computational Framework for Comparing CSR Performance: Evidence from India