A novel risk assessment considering social network for the system of intelligent shipping ecological chain

A novel risk assessment considering social network for the system of intelligent shipping ecological chain | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article A novel risk assessment considering social network for the system of intelligent shipping ecological chain Ruitong Guo, Mingshuo Cao, Jian Wu, Haiyang Liu, Jie Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6286949/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Intelligent shipping ecological chain (ISEC) is an ecological chain that spans from the supply end to the demand end, composed of upstream, midstream and downstream. The shipping ecological chain includes a series of links of the shipping industry chain as well as external factors such as environment, society, and economy. Therefore, this paper divides the sustainability risks of the ISEC into three categories, namely, internal risk, technical risk, and external environmental risk. The social network analysis (SNA) was then used to study the relationship between risk factors and identify key risk factors by quantifying the relationship between risk factors. Then, we used improved TOPSIS methods to achieve better risk management and assessment. This paper takes China COSCO Shipping Corporation Limited as a case study, and determines the risk ranking of the container ISEC, the dry bulk cargo ISEC and the oil ISEC. The study found that the risk of the container ISEC is the lowest and the risk of the oil ISEC is the highest, which provides a reference for the risk management of enterprises. Business and commerce/Business and management Social science/Business and management Intelligent Shipping Ecological Chain (ISEC) Sustainability Risk Assessment Social Network Analysis (SNA) Improved TOPSIS Method and Risk Management Figures Figure 1 Figure 2 Figure 3 Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6286949","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":451422320,"identity":"0067cedf-af08-4112-b75a-562aef6c6f5e","order_by":0,"name":"Ruitong Guo","email":"","orcid":"","institution":"Shanghai Maritime University","correspondingAuthor":false,"prefix":"","firstName":"Ruitong","middleName":"","lastName":"Guo","suffix":""},{"id":451422321,"identity":"44c77337-9d54-48fe-b2e3-6178afd4fc50","order_by":1,"name":"Mingshuo 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