Digital Transformation of Human Resources: From Consulting Frameworks to AI-Enabled Learning Management Systems

Digital Transformation of Human Resources: From Consulting Frameworks to AI-Enabled Learning Management Systems | 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 Digital Transformation of Human Resources: From Consulting Frameworks to AI-Enabled Learning Management Systems Ting Li, Jie Xia, Sijiao Liu, Yingchen Jiang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8220347/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 Digital transformation is reshaping corporate human resources management models. This paper synthesizes consulting and implementation cases across multiple industries (energy, medical devices, FMCG) to explore digital practices using Workday and Saba Learning Management Systems (LMS). Research methods include machine learning clustering and logistic regression analysis of learning behavior data from 3,500 users. Combined with Kotter's eight-step change management model, this evaluates the implementation effectiveness of digital projects. Results indicate that competency-based LMS significantly enhances the correlation between learning and performance: high-learning-credit groups achieved an 18% performance improvement rate and a 12% increase in employee retention. Regarding organizational transformation, process standardization and cross-regional collaboration efficiency increased by 25%, while user satisfaction rose by 20%. This study not only demonstrates the value of AI-powered LMS in enhancing talent development but also provides methodological references for enterprises advancing HR strategies in the digital context. Other Business Management Digital HR Learning Management System Machine Learning Change Management Strategic Consulting Full Text Additional Declarations The authors declare no competing interests. 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. 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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-8220347","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":551653254,"identity":"a29eb02e-d657-4d73-b713-ff4bcfbe2869","order_by":0,"name":"Ting Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9UlEQVRIiWNgGAWjYBACNhBRwWABogwYPoBE2InRcoZBAqyFcQZIhJkYq2BamHlAFCEtfBLpDx8cqJBInN9+eONjm4pt8nzMDIwfPubgcZhEQrLBgTMSiRvOpBUb55y5bdjGzMAsOXMbXi3HpD+2AbUw5JhJ57bdZgRqYWPmxaslsf3HQaCW+f1vzH9b/rttT4SWZDYGkJaGGzlmzIwNtxMJa+F5xiwB9IvxhhvPiiV7jt1ObmNmbMbrF/n29IcfDlTYyM7vT9744UfNbdv57c0HP3zEo4VBIAFMOTYghBgbsClEAP4DYMoev6pRMApGwSgY0QAAViFQvaprg4YAAAAASUVORK5CYII=","orcid":"","institution":"WuXi Biologics, Shanghai, 200021, China","correspondingAuthor":true,"prefix":"","firstName":"Ting","middleName":"","lastName":"Li","suffix":""},{"id":551653255,"identity":"4d88edcb-015b-4f63-8bc5-3f5f00b3f23a","order_by":1,"name":"Jie Xia","email":"","orcid":"","institution":"Hengsheng Telecom, Shanghai, 200021, China","correspondingAuthor":false,"prefix":"","firstName":"Jie","middleName":"","lastName":"Xia","suffix":""},{"id":551653256,"identity":"2d0cfbf7-5306-49e2-b829-690a45e0d416","order_by":2,"name":"Sijiao Liu","email":"","orcid":"","institution":"Shanghai Artificial Intelligence Laboratory, Shanghai, 201112, China","correspondingAuthor":false,"prefix":"","firstName":"Sijiao","middleName":"","lastName":"Liu","suffix":""},{"id":551653257,"identity":"fcb014be-1932-487b-9241-1ce057acf01c","order_by":3,"name":"Yingchen Jiang","email":"","orcid":"","institution":"WuXi Biologics, Cranbury, 08512, US","correspondingAuthor":false,"prefix":"","firstName":"Yingchen","middleName":"","lastName":"Jiang","suffix":""}],"badges":[],"createdAt":"2025-11-27 09:36:06","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8220347/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8220347/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":97140976,"identity":"fd3089b8-710e-42ec-82b9-1861b86b0ddf","added_by":"auto","created_at":"2025-12-01 10:06:03","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":811222,"visible":true,"origin":"","legend":"","description":"","filename":"3DigitalTransformationofHumanResourcesFromConsultingFrameworkstoAIEnabledLearningManagementSystems.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8220347/v1_covered_44dc9c6c-3fc2-43c9-83c9-8d85c06bbe07.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eDigital Transformation of Human Resources: From Consulting Frameworks to AI-Enabled Learning Management Systems\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Digital HR, Learning Management System, Machine Learning, Change Management, Strategic Consulting","lastPublishedDoi":"10.21203/rs.3.rs-8220347/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8220347/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDigital transformation is reshaping corporate human resources management models. 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