@inproceedings{99daec6dfe03446a8568d0dda63d42c4,
title = "Mapping the Future: Prioritizing Selection Factors for Tomorrow{\textquoteright}s Professions",
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.",
keywords = "Career selection, Future profession, SWARA, spherical fuzzy numbers",
author = "Ertugrul Ayyildiz and Melike Erdogan and Busra Kesici and Nezir Aydin",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 ; Conference date: 29-07-2025 Through 31-07-2025",
year = "2025",
month = jul,
day = "29",
doi = "10.1007/978-3-031-97985-9\_54",
language = "English",
isbn = "9783031979842",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "487--495",
editor = "Cengiz Kahraman and Basar Oztaysi and Selcuk Cebi and \{Cevik Onar\}, Sezi and Cagri Tolga and \{Ucal Sari\}, Irem and Irem Otay",
booktitle = "Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference",
address = "Germany",
}