Dual focus of Technology Acceptance and TechnologyResistant Model: Deep Learning Approach 

Dual focus of Technology Acceptance and TechnologyResistant Model: Deep Learning Approach | 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 Dual focus of Technology Acceptance and TechnologyResistant Model: Deep Learning Approach Subhashini L D C S, Vilani Sachithra, Samarasinghe U.S. This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4493860/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract Digital health care is becoming increasingly important, and the possibilities and chances of digital health care for elderly people are particularly high.There is a substantial part of the elderly population that does not use theinformation technology, which is a precondition for using digital health careservices. In this piece, elderly person’s acceptance to use and resistant to useof such technologies remain an open-ended research problem. The study aimsto develop an integrated model based on a human-centric perspective, sociotechnical characteristics, and aging specific constructs to offer a more accurateindulgent of consumer acceptance or resistance of technology in the aspect ofelderly context. The study integrated Theory of Planned Behavior, Status quobias, Equity-implementation model and Unified Theory of Acceptance and Useof Technology2 model to come up with a dual phenomenon conceptual modelof technology acceptance and resistance. Two-phased multi-analytical models were used. The scope of the study included older adults (people aged 65years or older) in Sri Lanka. The multiple regression analysis and Model 4 ofthe PROCESS macro results revealed that human centric, socio technical andaging specific factors significantly influence on elders to use technology; interestedly, human-centric factors negatively influenced. Moreover, socio-technicalfactor was not a significant predictor in elders’ resistant to use technology. The mediating analysis results showed that propensity related to technology was asignificant mediator on the relationships between Human centric and Technology use; Aging specific and Technology use; Human centric and Resist usingtechnology; and Aging specific and Resist using technology. Thereafter, thedata is trained and tested using a deep learning approach. The model can performed F-measure of 72.85% for predicting technology acceptance or rejection.Technology has been advancing at a faster speed than we have ever imagined.Understanding personal variables such as human-centric and aging specific thataffect the adaptation and resistant process in technology provides valuable information for developers and social planners in the design and execution oftechnology for the elder community Technology Acceptance Technology Rejection Deep Learning CNN Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editor assigned by journal 30 May, 2024 Submission checks completed at journal 30 May, 2024 First submitted to journal 28 May, 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-4493860","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":308884421,"identity":"b613e514-d147-4ce9-8afe-8979778e8219","order_by":0,"name":"Subhashini L D C S","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5klEQVRIiWNgGAWjYFACHjYgcYCHgZn5AIMEWIS5mVgtbAlQLYzEaQExDKAiBLTIz8g99uDHnzsy5uw8nz9Y7mCQ529gbDbAp8XgRl66YW/bMx7LZt5tEpJnGAxnHGBsTsCrRSLHTIK34TCPwWHebQySbQyMG4AOO4DfYTlmkn/+gLTwPP4A1GJPUAvDjRwzaR42sBYGCaCWRJAW/A478y5NWrYNpIXNDOgXieQZhwl4X74995jkmz+H7Q3OH378WXKHjW1/e/NhCbwOQwbMkg1AxcxEqwcCxo8NpCgfBaNgFIyCkQIA2hZGfqFhnCkAAAAASUVORK5CYII=","orcid":"","institution":"University of Sri Jayewardenepura","correspondingAuthor":true,"prefix":"","firstName":"Subhashini","middleName":"L D C","lastName":"S","suffix":""},{"id":308884422,"identity":"2c812509-6f4b-4112-8d3d-1d8d67d7472b","order_by":1,"name":"Vilani Sachithra","email":"","orcid":"","institution":"University of Sri Jayewardenepura","correspondingAuthor":false,"prefix":"","firstName":"Vilani","middleName":"","lastName":"Sachithra","suffix":""},{"id":308884423,"identity":"4108b95b-44da-4c23-9d5a-9b55e0ef05fd","order_by":2,"name":"Samarasinghe U.S.","email":"","orcid":"","institution":"University of Sri Jayewardenepura","correspondingAuthor":false,"prefix":"","firstName":"Samarasinghe","middleName":"","lastName":"U.S.","suffix":""}],"badges":[],"createdAt":"2024-05-29 02:54:33","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4493860/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4493860/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":58249068,"identity":"1df7fd72-9b13-4c24-b734-cd5312f3aad7","added_by":"auto","created_at":"2024-06-13 02:52:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":922124,"visible":true,"origin":"","legend":"","description":"","filename":"DualfocusofTechnologyAcceptanceandTechnologyResistantModelDeepLearningApproach.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4493860/v1_covered_48313167-8e7e-454d-9272-4ef85029adc5.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Dual focus of Technology Acceptance and TechnologyResistant Model: Deep Learning Approach ","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"journal-of-intelligent-information-systems","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jiis","sideBox":"Learn more about [Journal of Intelligent Information Systems](http://link.springer.com/journal/10844)","snPcode":"10844","submissionUrl":"https://submission.nature.com/new-submission/10844/3","title":"Journal of Intelligent Information Systems","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Technology Acceptance, Technology Rejection, Deep Learning, CNN","lastPublishedDoi":"10.21203/rs.3.rs-4493860/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4493860/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Digital health care is becoming increasingly important, and the possibilities and chances of digital health care for elderly people are particularly high.There is a substantial part of the elderly population that does not use theinformation technology, which is a precondition for using digital health careservices. 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