Digital Transformation Project Risks Assessment Using Hybrid Picture Fuzzy Distance Measure-Based Additive Ratio Assessment Method

Digital Transformation Project Risks Assessment Using Hybrid Picture Fuzzy Distance Measure-Based Additive Ratio Assessment Method | 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 Digital Transformation Project Risks Assessment Using Hybrid Picture Fuzzy Distance Measure-Based Additive Ratio Assessment Method Pratibha Rani, Arunodaya Raj Mishra, Adel Fahad Alrasheedi, Dragan Pamucar, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5053828/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 26 Jan, 2025 Read the published version in Scientific Reports → Version 1 posted 14 You are reading this latest preprint version Abstract Digital transformation (DT) has become vital for companies to persist competitive in the recent ever-changing technological environment. It is integration of digital technologies into all disciplines of business from regular activities to strategic decision making. Risk management planning requires the projects to assess the possible risks that may negatively or positively affect the DT project. The purpose of the study is to introduce a hybridized decision support system (DSS) by combining the distance measure, ranking comparison (RANCOM) model and additive ratio assessment (ARAS) approach in the context of picture fuzzy set. In this framework, the decision experts’ significance values are computed using picture fuzzy score function-based formula. With the combination of objective weight using distance measure and subjective weight through RANCOM model, a combined weight-determining approach is developed to determine the significance values of considered DT risks under picture fuzzy environment, while a hybrid ARAS model is developed to evaluate and rank the DT projects from risks perspective. To exhibit the feasibility of introduced framework, a case study of DT projects assessment problem is discussed in the context of picture fuzzy sets. Sensitivity study is discussed over different values of strategy coefficient, which confirms the strength of the proposed model. Further, comparison with existent picture fuzzy information-based methods is presented to approve the robustness of the developed decision-making framework. Physical sciences/Mathematics and computing/Applied mathematics Physical sciences/Mathematics and computing Picture fuzzy set Distance measure Digital transformation Risks RANCOM ARAS Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 26 Jan, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 12 Nov, 2024 Reviews received at journal 11 Nov, 2024 Reviews received at journal 05 Nov, 2024 Reviewers agreed at journal 01 Nov, 2024 Reviewers agreed at journal 01 Nov, 2024 Reviews received at journal 28 Sep, 2024 Reviewers agreed at journal 22 Sep, 2024 Reviewers agreed at journal 21 Sep, 2024 Reviewers agreed at journal 19 Sep, 2024 Reviewers invited by journal 19 Sep, 2024 Editor assigned by journal 19 Sep, 2024 Editor invited by journal 17 Sep, 2024 Submission checks completed at journal 17 Sep, 2024 First submitted to journal 08 Sep, 2024 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. 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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-5053828","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":376956987,"identity":"092e31be-ef8a-4e76-a05b-e2614b92fec7","order_by":0,"name":"Pratibha Rani","email":"","orcid":"","institution":"Koneru Lakshmaiah Education Foundation","correspondingAuthor":false,"prefix":"","firstName":"Pratibha","middleName":"","lastName":"Rani","suffix":""},{"id":376956988,"identity":"61a002d0-afe4-44b6-b718-bcfdbb22d35d","order_by":1,"name":"Arunodaya Raj Mishra","email":"","orcid":"","institution":"Government College Raigaon","correspondingAuthor":false,"prefix":"","firstName":"Arunodaya","middleName":"Raj","lastName":"Mishra","suffix":""},{"id":376956990,"identity":"269e16a5-9055-47be-9a6d-9a3cd801e3a9","order_by":2,"name":"Adel Fahad Alrasheedi","email":"","orcid":"","institution":"King Saud University","correspondingAuthor":false,"prefix":"","firstName":"Adel","middleName":"Fahad","lastName":"Alrasheedi","suffix":""},{"id":376956991,"identity":"0ce4fbff-4659-4e43-8395-4d9e78d60963","order_by":3,"name":"Dragan Pamucar","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxklEQVRIiWNgGAWjYDCCA1CaH0QkFJCiRbIBpMWAFC0GYAYxWvhuNz/dzFNjl298fnXihwcGDPL8Ygfwa5G8c8zsNs+xZMttN95ulgA6zHDm7AT8WgxuJJjd5m1gNjC7cXYDSEuCwW2CWtK/AbXUGxjPOLv5B5FackC2HDYw4O/dRpwtknfOlN2cc+y4gcQN3m0WCQYShP3Cd7t92403NdUG/P1nN9/8UWEjzy9NQAuDBJyRgMIlRgv/ASJUj4JRMApGwYgEABeESIF+/4Y2AAAAAElFTkSuQmCC","orcid":"","institution":"Széchenyi István University","correspondingAuthor":true,"prefix":"","firstName":"Dragan","middleName":"","lastName":"Pamucar","suffix":""},{"id":376956992,"identity":"ac953f49-112f-4bc8-999e-3df05ba1b5bf","order_by":4,"name":"Dragan Marinkovic","email":"","orcid":"","institution":"Technical University of Berlin","correspondingAuthor":false,"prefix":"","firstName":"Dragan","middleName":"","lastName":"Marinkovic","suffix":""}],"badges":[],"createdAt":"2024-09-08 18:08:29","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5053828/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5053828/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-86598-4","type":"published","date":"2025-01-26T15:58:26+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":74859150,"identity":"3affb0e6-7b9c-4185-b4d8-fb8f67697c01","added_by":"auto","created_at":"2025-01-27 16:13:41","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":961773,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscriptupdated.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5053828/v1_covered_2193af44-874e-4083-8559-c84e4be4f9b5.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Digital Transformation Project Risks Assessment Using Hybrid Picture Fuzzy Distance Measure-Based Additive Ratio Assessment Method","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Picture fuzzy set, Distance measure, Digital transformation, Risks, RANCOM, ARAS","lastPublishedDoi":"10.21203/rs.3.rs-5053828/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5053828/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDigital transformation (DT) has become vital for companies to persist competitive in the recent ever-changing technological environment. 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