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Mapping the Future: Prioritizing Selection Factors for Tomorrow's Professions

dc.contributor.authorAyyildiz, Ertugrul
dc.contributor.authorErdogan, Melike
dc.contributor.authorKesici, Busra
dc.contributor.authorAydin, Nezir
dc.date.accessioned2026-06-27T15:32:32Z
dc.date.issued2025
dc.description.abstractCareer 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.en
dc.description.urihttps://doi.org/10.1007/978-3-031-97985-9_54
dc.identifier.doi10.1007/978-3-031-97985-9_54
dc.identifier.eissn2367-3389
dc.identifier.endpage495
dc.identifier.isbn978-3-031-97984-2; 978-3-031-97985-9
dc.identifier.issn2367-3370
dc.identifier.startpage487
dc.identifier.urihttps://hdl.handle.net/20.500.14981/71729
dc.identifier.volume1528
dc.identifier.wos001587459200054
dc.language.isoeng
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.conference2025 International Conference on Intelligent and Fuzzy Systems-INFUS-Annual
dc.relation.ispartofINTELLIGENT AND FUZZY SYSTEMS, INFUS 2025, VOL 1
dc.subjectCareer selection
dc.subjectFuture profession
dc.subjectspherical fuzzy numbers
dc.subjectSWARA
dc.subjectComputer Science
dc.titleMapping the Future: Prioritizing Selection Factors for Tomorrow's Professions
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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