Ayyildiz, ErtugrulErdogan, MelikeKesici, BüşraAydin, Nezir2025-10-112025-10-11202597898196523729783031931055978981966296897830319999639783031950162978303194769897830320044069783031910074978303192610597898196394102367-33892367-3370https://doi.org/10.1007/978-3-031-97985-9_54https://hdl.handle.net/20.500.12684/212687th International Conference on Intelligent and Fuzzy Systems -- INFUS 2025 -- Istanbul -- AX6336089Career selection significantly impacts an individual's financial stability, job satisfaction, and overall quality of life. As industries evolve with technological advancements and digital transformation, understanding the key factors influencing career choices has become increasingly important. This study aims to prioritize the factors affecting future career decisions using a structured multi-criteria decision-making approach. A framework comprising six main criteria and 24 sub-criteria was developed through expert opinions and a literature review. The Spherical Fuzzy Step-wise Weight Assessment Ratio Analysis (SF-SWARA) is applied to assess and rank these factors while accounting for uncertainty. The results indicate that Starting Salary is the most influential factor, followed by Alignment with Personal Goals, emphasizing the role of financial security and personal motivation in career decisions. Conversely, Remote Work Potential was ranked as the least important factor, suggesting that direct workplace interaction and industry-specific requirements remain crucial. © 2025 Elsevier B.V., All rights reserved.en10.1007/978-3-031-97985-9_54info:eu-repo/semantics/closedAccessCareer SelectionFuture ProfessionSpherical Fuzzy NumbersSwaraDecision MakingEmploymentProfessional AspectsWagesCareer SelectionDigital TransformationFinancial StabilityFuture ProfessionFuzzy NumbersOverall QualityQuality Of LifeSpherical Fuzzy NumberSwaraTechnological AdvancementJob SatisfactionConference Object1528 LNNS4874952-s2.0-105012925679Q4