Research on enterprise network public opinion guiding decision-making under crisis anticipation

Research on enterprise network public opinion guiding decision-making under crisis anticipation | 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 Research Article Research on enterprise network public opinion guiding decision-making under crisis anticipation Jiakun Wang, Xiaotong Guo, Huiying Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5749338/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 In the context of the rapid popularization of social media platforms and the frequent occurrence of crisis events, determining the optimal network public opinion information (referred as public opinion) guidance strategy is of great significance for assisting enterprises actively manage crises and promoting their sustainable development. Considering the randomness of crisis outbreaks and the complexity of the derivative public opinion propagation process, this paper innovatively proposes a differential game propagation model of public opinion under the anticipation of crisis. Subsequently, it focuses on the strategy choices of various subjects in different decision-making scenarios before and after the crisis, identifies the key parameters influencing the evolution of public opinion, and determines the optimal decision-making mode for enterprises. The results indicate that enterprises can achieve optimal public opinion guidance by choosing a centralized decision-making mode after the crisis and a decentralized decision-making mode before the crisis. Compared with the probability of crisis occurrence, enterprises’ strategy choices are more sensitive to changes in the benefit distribution coefficient between the media and netizens. The incentives provided by enterprises to media are significantly superior to those provided to netizens in promoting the propagation of public opinion. network public opinion crisis anticipation guiding decision-making differential game strategy adjustment 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-5749338","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":396842412,"identity":"d9346658-7767-4525-9fea-9d99a781e8ef","order_by":0,"name":"Jiakun Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2ElEQVRIiWNgGAWjYDACCSDmAbOOMT5IqKghTQuzwYMzx0jSwsYm+bCFmbAO+dnNzx68qbhjt+HgsbSKxAY2Bv727gS8WgzuHDM3nHPmWfKGA8eO3UjcIcMgcebsBvxaJBLMpHnbDiebHTjediPxDBtQJBe/FvkZ6d/gWgoS25gJa2G4kQO2xc4M6DAGorQY3Mgpk5xz5nCC/YFjyRIJZ47xEPQL0GHbJN5UHLaXnHHM8OOPiho5/vZeAg6DgsQGiQNgBg9RykHAnoG/gWjFo2AUjIJRMMIAAJ4XUYQ/XpULAAAAAElFTkSuQmCC","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Jiakun","middleName":"","lastName":"Wang","suffix":""},{"id":396842413,"identity":"9f0ded02-4cc4-4248-962e-816094f93715","order_by":1,"name":"Xiaotong Guo","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Xiaotong","middleName":"","lastName":"Guo","suffix":""},{"id":396842414,"identity":"9ef86dbd-b24d-4834-9e46-1360db66cfc4","order_by":2,"name":"Huiying Chen","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Huiying","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2025-01-02 06:38:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5749338/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5749338/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":73757076,"identity":"e4154c00-4ab6-46cf-b10b-01a2ace72e97","added_by":"auto","created_at":"2025-01-14 10:46:53","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":698593,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptwithoutauthors1127.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5749338/v1_covered_c97aa5b7-bc62-4ee2-a56b-a70f91eb56ea.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on enterprise network public opinion guiding decision-making under crisis anticipation","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"network public opinion, crisis anticipation, guiding decision-making, differential game, strategy adjustment","lastPublishedDoi":"10.21203/rs.3.rs-5749338/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5749338/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn the context of the rapid popularization of social media platforms and the frequent occurrence of crisis events, determining the optimal network public opinion information (referred as public opinion) guidance strategy is of great significance for assisting enterprises actively manage crises and promoting their sustainable development. Considering the randomness of crisis outbreaks and the complexity of the derivative public opinion propagation process, this paper innovatively proposes a differential game propagation model of public opinion under the anticipation of crisis. Subsequently, it focuses on the strategy choices of various subjects in different decision-making scenarios before and after the crisis, identifies the key parameters influencing the evolution of public opinion, and determines the optimal decision-making mode for enterprises. The results indicate that enterprises can achieve optimal public opinion guidance by choosing a centralized decision-making mode after the crisis and a decentralized decision-making mode before the crisis. Compared with the probability of crisis occurrence, enterprises\u0026rsquo; strategy choices are more sensitive to changes in the benefit distribution coefficient between the media and netizens. 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