Human-Centered Vibe Working Transformation: A Spherical Fuzzy Multi-Criteria Decision-Making Model

Human-Centered Vibe Working Transformation: A Spherical Fuzzy Multi-Criteria Decision-Making Model | 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 Human-Centered Vibe Working Transformation: A Spherical Fuzzy Multi-Criteria Decision-Making Model Sevil Sürücü, Serhat Yüksel, Merve Acar, Serkan Eti, Hasan Dinçer This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9030078/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 13 You are reading this latest preprint version Abstract The rapid diffusion of artificial intelligence within knowledge-intensive work has given rise to vibe working, a transformative paradigm that reshapes organizational structures and career pathways. The fundamental problem associated with this transformation lies in balancing efficiency gains with the preservation of human roles, skill development, and long-term workforce sustainability. While numerous studies address AI-driven automation, limited attention has been paid to the systematic prioritization of transformation strategies and evaluation criteria in vibe working contexts. This gap creates uncertainty for organizations seeking effective and human-centered adaptation pathways. The primary aim of this study is to identify the most critical criteria and the most appropriate alternative strategies for minimizing vibe working-related risks. To address this gap, a novel fuzzy multi-criteria decision-making model is proposed, integrating distance-based expert weighting, the IDOCRIW method for criterion weighting, the RAM technique for alternative ranking, and spherical fuzzy sets for improved uncertainty modeling. The results indicate that potential for human-centered transformation is the most important criterion, followed by reduction in error rates and quality standardization. In terms of strategic alternatives, university–company–AI platform integration and the AI–human hybrid career ladder emerges as the most appropriate solutions. The study contributes to the literature by offering a structured prioritization framework and a robust methodological approach that accounts for expert heterogeneity and uncertainty. The findings suggest that integrated, human-centered, and collaborative strategies should be prioritized to ensure sustainable vibe working transformations. Physical sciences/Engineering Physical sciences/Mathematics and computing Vibe working Human-centered transformation Artificial intelligence Fuzzy multi-criteria decision making Workforce strategy Full Text Additional Declarations No competing interests reported. Supplementary Files dataVibeworking.docx Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 11 May, 2026 Reviews received at journal 02 May, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviews received at journal 04 Apr, 2026 Reviewers agreed at journal 02 Apr, 2026 Reviewers agreed at journal 01 Apr, 2026 Reviews received at journal 22 Mar, 2026 Reviewers agreed at journal 20 Mar, 2026 Reviewers invited by journal 20 Mar, 2026 Editor assigned by journal 13 Mar, 2026 Editor invited by journal 13 Mar, 2026 Submission checks completed at journal 11 Mar, 2026 First submitted to journal 11 Mar, 2026 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. 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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-9030078","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":610142006,"identity":"dd135c2c-01eb-4339-9035-ff6c1a5f5009","order_by":0,"name":"Sevil Sürücü","email":"","orcid":"","institution":"Istanbul Medipol University","correspondingAuthor":false,"prefix":"","firstName":"Sevil","middleName":"","lastName":"Sürücü","suffix":""},{"id":610142007,"identity":"3fbbd26c-c09e-4127-a1cd-a47c9f1e82a1","order_by":1,"name":"Serhat Yüksel","email":"","orcid":"","institution":"Istanbul Medipol 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