Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix

<!DOCTYPE html>    <html>  <head> <meta charset="utf-8" /> <title>Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix</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="Supply chain system,Binary Interaction Matrix,Hierarchical Tree Structure Diagram,Pareto Technique" /> <meta name="description" content="Ascertaining and prioritising the various factors that can influence the performance of a supply chain system is vital towards creating measures that are tailored towards controlling these factors, in order to ensure a sustainable supply chain. This research subject matter has been solved in the literature using multi-criteria decision making techniques, whose prioritization solutions are generated using experts opinions, which are subjective, thereby decision obtained could be prone to biases. In light of this, this study present an Hierarchical Structural Interaction Matrix (HSIM) approach, whose prioritisation computation is premised on the theory of subordination derived via systems thinking, to prioritize various factors influencing the performance of a supply chain system. In order to achieve this, firstly, all the factors that could influence the performance of a supply chain system were identified from the literature. Thereafter, a Binary Interaction Matrix, which unveil the arrays of subordinations that exist amidst a number of the identified factors was developed. The result of this exercise was thereafter numerically analysed using appropriate mathematical equations to determine the intensity rating score of each supply chain performance factor. Furthermore, Pareto analysis was conducted using the latter results, to unveil the vital few factors that could influence the performance of a supply chain system used in an organisation. The result of the study unveiled that supply chain performance of an organisation can be exponentially improved, if supply chain managers can focus and concentrate their management efforts more on 11 critical factors obtained from the prioritisation analyses." /> <meta name="title" content="Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix" /> <meta name="googlebot" content="NOODP" /> <meta name="citation_title" content="Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix" /> <meta name="citation_author" content="Makinde, Olasumbo" /> <meta name="citation_author_institution" content="Faculty of Management Sciences, Tshwane University of Technology, Pretoria, South Africa" /> <meta name="citation_author" content="Mowandi, Tebogo" /> <meta name="citation_author_institution" content="Faculty of Management Sciences, Tshwane University of Technology, Pretoria, South Africa" /> <meta name="citation_author" content="Ayomoh, Michael" /> <meta name="citation_author_institution" content="Department of Industrial and Systems Engineering, University of Pretoria, Pretoria, South Africa" /> <meta name="citation_author" content="Munyai, Thomas" /> <meta name="citation_author_institution" content="Faculty of Management Sciences, Tshwane University of Technology, Pretoria, South Africa" /> <meta name="citation_author" content="Nesamvuni, Alufeheli" /> <meta name="citation_author_institution" content="Faculty of Management Sciences, Tshwane University of Technology, Pretoria, South Africa" /> <meta name="citation_abstract" content="Ascertaining and prioritising the various factors that can influence the performance of a supply chain system is vital towards creating measures that are tailored towards controlling these factors, in order to ensure a sustainable supply chain. This research subject matter has been solved in the literature using multi-criteria decision making techniques, whose prioritization solutions are generated using experts opinions, which are subjective, thereby decision obtained could be prone to biases. In light of this, this study present an Hierarchical Structural Interaction Matrix (HSIM) approach, whose prioritisation computation is premised on the theory of subordination derived via systems thinking, to prioritize various factors influencing the performance of a supply chain system. In order to achieve this, firstly, all the factors that could influence the performance of a supply chain system were identified from the literature. Thereafter, a Binary Interaction Matrix, which unveil the arrays of subordinations that exist amidst a number of the identified factors was developed. The result of this exercise was thereafter numerically analysed using appropriate mathematical equations to determine the intensity rating score of each supply chain performance factor. Furthermore, Pareto analysis was conducted using the latter results, to unveil the vital few factors that could influence the performance of a supply chain system used in an organisation. The result of the study unveiled that supply chain performance of an organisation can be exponentially improved, if supply chain managers can focus and concentrate their management efforts more on 11 critical factors obtained from the prioritisation analyses." /> <meta name="citation_id" content="2892" /> <meta name="citation_publication_date" content="2023/02/01" /> <meta name="citation_date" content="2023-02-01" /> <meta name="citation_journal_title" content="International Journal of Supply and Operations Management" /> <meta name="citation_issn" content="23831359" /> <meta name="citation_volume" content="10" /> <meta name="citation_issue" content="1" /> <meta name="citation_firstpage" content="23" /> <meta name="citation_lastpage" content="37" /> <meta name="citation_publisher" content="Kharazmi University" /> <meta name="citation_doi" content="10.22034/ijsom.2022.109392.2371" /> <meta name="DC.Identifier" content="10.22034/ijsom.2022.109392.2371" /> <meta name="citation_abstract_html_url" content="http://www.ijsom.com/article_2892.html" /> <meta name="citation_pdf_url" content="http://www.ijsom.com/article_2892_a0f810531d4609f9433ae1effdc5e555.pdf" /> <meta name="DC.Title" content="Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix" /> <meta name="DC.Source" content="International Journal of Supply and Operations Management" /> <meta name="DC.Date" content="01/02/2023" /> <meta name="DC.Date.issued" content="2023-02-01" /> <meta name="DC.Format" content="application/pdf" /> <meta name="DC.Contributor" content="Makinde, Olasumbo" /> <meta name="DC.Contributor" content="Mowandi, Tebogo" /> <meta name="DC.Contributor" content="Ayomoh, Michael" /> <meta name="DC.Contributor" content="Munyai, Thomas" /> <meta name="DC.Contributor" content="Nesamvuni, Alufeheli" /> <meta name="og:title" content="Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix" /> <meta name="og:description" content="Ascertaining and prioritising the various factors that can influence the performance of a supply chain system is vital towards creating measures that are tailored towards controlling these factors, in order to ensure a sustainable supply chain. This research subject matter has been solved in the literature using multi-criteria decision making techniques, whose prioritization solutions are generated using experts opinions, which are subjective, thereby decision obtained could be prone to biases. In light of this, this study present an Hierarchical Structural Interaction Matrix (HSIM) approach, whose prioritisation computation is premised on the theory of subordination derived via systems thinking, to prioritize various factors influencing the performance of a supply chain system. In order to achieve this, firstly, all the factors that could influence the performance of a supply chain system were identified from the literature. Thereafter, a Binary Interaction Matrix, which unveil the arrays of subordinations that exist amidst a number of the identified factors was developed. The result of this exercise was thereafter numerically analysed using appropriate mathematical equations to determine the intensity rating score of each supply chain performance factor. Furthermore, Pareto analysis was conducted using the latter results, to unveil the vital few factors that could influence the performance of a supply chain system used in an organisation. The result of the study unveiled that supply chain performance of an organisation can be exponentially improved, if supply chain managers can focus and concentrate their management efforts more on 11 critical factors obtained from the prioritisation analyses." /> <meta name="og:url" content="http://www.ijsom.com/article_2892.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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style="margin:12px -2px 0 -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=118834&_au=Olasumbo++Makinde">Olasumbo Makinde</a> <sup><a href="mailto:olasumbomakinde@gmail.com" data-toggle="tooltip" data-placement="bottom" title="Email to Corresponding Author"><i class="fa fa-envelope-o" ></i></a></sup> <sup><a href="#aff1" >1</a></sup> </li> <li class="padding-3"> <a href="./?_action=article&au=126398&_au=Tebogo++Mowandi">Tebogo Mowandi</a> <sup><a href="#aff1" >1</a></sup> </li> <li class="padding-3"> <a href="./?_action=article&au=126399&_au=Michael++Ayomoh">Michael Ayomoh</a> <sup><a href="#aff2" >2</a></sup> </li> <li class="padding-3"> <a href="./?_action=article&au=126400&_au=Thomas++Munyai">Thomas Munyai</a> <sup><a href="#aff1" >1</a></sup> </li> <li class="padding-3"> <a href="./?_action=article&au=126401&_au=Alufeheli++Nesamvuni">Alufeheli Nesamvuni</a> <sup><a href="#aff1" >1</a></sup> </li> </ul> <p class="margin-bottom-3 ltr" id="aff1"> <sup>1</sup> Faculty of Management Sciences, Tshwane University of Technology, Pretoria, South Africa </p> <p class="margin-bottom-3 ltr" id="aff2"> <sup>2</sup> Department of Industrial and Systems Engineering, University of Pretoria, Pretoria, South Africa </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.2022.109392.2371">10.22034/ijsom.2022.109392.2371</a></span></div> <p style="margin:12px -2px 0 -2px"><strong>Abstract</strong></p> <div class="padding_abstract justify ltr">Ascertaining and prioritising the various factors that can influence the performance of a supply chain system is vital towards creating measures that are tailored towards controlling these factors, in order to ensure a sustainable supply chain. This research subject matter has been solved in the literature using multi-criteria decision making techniques, whose prioritization solutions are generated using experts opinions, which are subjective, thereby decision obtained could be prone to biases. In light of this, this study present an Hierarchical Structural Interaction Matrix (HSIM) approach, whose prioritisation computation is premised on the theory of subordination derived via systems thinking, to prioritize various factors influencing the performance of a supply chain system. In order to achieve this, firstly, all the factors that could influence the performance of a supply chain system were identified from the literature. Thereafter, a Binary Interaction Matrix, which unveil the arrays of subordinations that exist amidst a number of the identified factors was developed. The result of this exercise was thereafter numerically analysed using appropriate mathematical equations to determine the intensity rating score of each supply chain performance factor. Furthermore, Pareto analysis was conducted using the latter results, to unveil the vital few factors that could influence the performance of a supply chain system used in an organisation. The result of the study unveiled that supply chain performance of an organisation can be exponentially improved, if supply chain managers can focus and concentrate their management efforts more on 11 critical factors obtained from the prioritisation analyses.</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=106350&_kw=Supply+chain+system" >Supply chain system</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106351&_kw=Binary+Interaction+Matrix" >Binary Interaction Matrix</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106352&_kw=Hierarchical+Tree+Structure+Diagram" >Hierarchical Tree Structure Diagram</a> </li> <li class="padding-3"> <a class="tag_a" href="./?_action=article&kw=106353&_kw=Pareto+Technique" >Pareto Technique</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">Abbas, H., Alawi, A. 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"Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix". <em>International Journal of Supply and Operations Management</em>, 10, 1, 2023, 23-37. doi: 10.22034/ijsom.2022.109392.2371</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>Makinde, O., Mowandi, T., Ayomoh, M., Munyai, T., Nesamvuni, A. (2023). 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Prioritizing Factors Influencing the Performance of a Supply Chain System using Hybrid Structural Interaction Matrix