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      Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework

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          Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

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            Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

            Highlights • Epidemic outbreaks are a special case of supply chain (SC) risks. • We articulate the specific features of epidemic outbreaks in SCs. • We demonstrate a simulation model for epidemic outbreak analysis. • We use an example of coronavirus COVID-19 outbreak.
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              Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

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                Author and article information

                Contributors
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                Journal
                International Journal of Production Research
                International Journal of Production Research
                Informa UK Limited
                0020-7543
                1366-588X
                July 18 2022
                August 31 2021
                July 18 2022
                : 60
                : 14
                : 4397-4417
                Affiliations
                [1 ]Department of Mechanical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
                [2 ]Department of Industrial Engineering and Management, International Hellenic University, Thessaloniki, Greece
                [3 ]Department of Engineering, School of Technology, University of Cambridge, Cambridge, UK
                [4 ]Department of Engineering Technology and Industrial Distribution, J. Mike Walker ’66 Department of Mechanical Engineering, Mosbacher Institute for Trade, Economics and Public Policy, Texas A&M University, College Stations, TX, USA
                Article
                10.1080/00207543.2021.1957506
                f9bf8fc1-a0d2-4e25-8f2d-c8d8f4ecf815
                © 2022
                History

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