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                <text>Faculty Publications</text>
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    <name>Article</name>
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              <text>Leslie Dass, P.; Nair, Sreerengan V.R.; Kurien, Georgy P.; Kumar Chandar, S.</text>
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              <text>A systematic literature network analysis approach to assess the topology of modern-era supply chain risk management research</text>
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              <text>01-01-2025</text>
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              <text>International Journal of Industrial and Systems Engineering;Volume;50;Issue;1;pp.106-145</text>
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              <text>&lt;a href="https://doi.org/10.1504/IJISE.2025.146118" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1504/IJISE.2025.146118&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105004743502?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105004743502?origin=resultslist&lt;/a&gt;</text>
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              <text>Leslie Dass P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Nair S.V.R., Faculty for Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kurien G.P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kumar Chandar S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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              <text>Over the past decade, there has been a significant increase in research on supply chain risk management (SCRM). This review uses a systematic literature network analysis to provide an overview of the SCRM research landscape, with emphasis on optimisation approaches, mathematical modelling tools, and the identification of seminal studies and relevant keywords used in SCRM research. However, there are few quantitative models that represent the relationship between supply chain surplus, sustainability, and resilience in SCRM literature. The study has limitations since it only sources from a single database, and more clarity is needed on the effectiveness of optimisation in SCRM, which can be further evaluated through case studies and empirical studies. Copyright  2025 Inderscience Enterprises Ltd.</text>
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              <text>linear programming; optimisation; profitability; resilience; risk management; supply chain; surplus; sustainability</text>
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          <name>Publisher</name>
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              <text>Inderscience Publishers</text>
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              <text>ISSN: 17485037;</text>
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              <text>English</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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              <text>online</text>
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