Mapping the Future: Prioritizing Selection Factors for Tomorrow’s Professions
| dc.contributor.author | Ayyildiz, Ertugrul | |
| dc.contributor.author | Erdogan, Melike | |
| dc.contributor.author | Kesici, Büşra | |
| dc.contributor.author | Aydin, Nezir | |
| dc.date.accessioned | 2025-10-11T20:45:19Z | |
| dc.date.available | 2025-10-11T20:45:19Z | |
| dc.date.issued | 2025 | |
| dc.department | Düzce Üniversitesi | en_US |
| dc.description | 7th International Conference on Intelligent and Fuzzy Systems -- INFUS 2025 -- Istanbul -- AX6336089 | en_US |
| dc.description.abstract | Career 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. | en_US |
| dc.identifier.doi | 10.1007/978-3-031-97985-9_54 | |
| dc.identifier.endpage | 495 | en_US |
| dc.identifier.isbn | 9789819652372 | |
| dc.identifier.isbn | 9783031931055 | |
| dc.identifier.isbn | 9789819662968 | |
| dc.identifier.isbn | 9783031999963 | |
| dc.identifier.isbn | 9783031950162 | |
| dc.identifier.isbn | 9783031947698 | |
| dc.identifier.isbn | 9783032004406 | |
| dc.identifier.isbn | 9783031910074 | |
| dc.identifier.isbn | 9783031926105 | |
| dc.identifier.isbn | 9789819639410 | |
| dc.identifier.issn | 2367-3389 | |
| dc.identifier.issn | 2367-3370 | |
| dc.identifier.scopus | 2-s2.0-105012925679 | en_US |
| dc.identifier.scopusquality | Q4 | en_US |
| dc.identifier.startpage | 487 | en_US |
| dc.identifier.uri | https://doi.org/10.1007/978-3-031-97985-9_54 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/21268 | |
| dc.identifier.volume | 1528 LNNS | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
| dc.relation.ispartof | Lecture Notes in Networks and Systems | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.snmz | KA_Scopus_20250911 | |
| dc.subject | Career Selection | en_US |
| dc.subject | Future Profession | en_US |
| dc.subject | Spherical Fuzzy Numbers | en_US |
| dc.subject | Swara | en_US |
| dc.subject | Decision Making | en_US |
| dc.subject | Employment | en_US |
| dc.subject | Professional Aspects | en_US |
| dc.subject | Wages | en_US |
| dc.subject | Career Selection | en_US |
| dc.subject | Digital Transformation | en_US |
| dc.subject | Financial Stability | en_US |
| dc.subject | Future Profession | en_US |
| dc.subject | Fuzzy Numbers | en_US |
| dc.subject | Overall Quality | en_US |
| dc.subject | Quality Of Life | en_US |
| dc.subject | Spherical Fuzzy Number | en_US |
| dc.subject | Swara | en_US |
| dc.subject | Technological Advancement | en_US |
| dc.subject | Job Satisfaction | en_US |
| dc.title | Mapping the Future: Prioritizing Selection Factors for Tomorrow’s Professions | en_US |
| dc.type | Conference Object | en_US |












