Puji Catur Siswipraptini, Hendric, L., Arief Ramadhan, & Widodo Budiharto. (2024). Personalized Career-Path Recommendation Model for Information Technology Students in Indonesia.

https://doi.org/10.1109/access.2024.3381032

          This study presents a personalized career-path recommendation model (CPRM) to help college students choose IT jobs. The model uses a personalized Naïve Bayes algorithm and considers job profiles, personality types, and subjects. It was tested on 104 computer science students in Indonesia and was validated by IT professionals and psychologists. The model was found to be highly satisfactory, with over 83% of respondents satisfied. This is the first EDM-GT-based career path recommendation model targeting the Indonesian computer science community.

         Jefferson, C. (2023). What is a career path? Definition, examples, and steps for paving yours. 

           https://www.betterup.com/blog/career-path

                   This site provides a comprehensive discussion of career paths, emphasizing their importance in professional development and long-term planning. It outlines the stages of career progression, distinguishes between organizational and personal career paths, and offers strategies for identifying individual strengths and interests. Practical steps are presented to guide individuals in mapping out and pursuing an informed and sustainable career journey.

         Hamid Hassan, Mujahid Hussain, Amna Niazi, Yasuo Hoshino, Akbar Azam, & Ahmad Shabbar Kazmi. (2022). Career Path Decisions and Sustainable Options. Sustainability, 14(17), 10501.

           https://doi.org/10.3390/su141710501

                 This article develops a holistic career-path guidance model based on psychological, sociological, developmental, and economic perspectives.  Through a systematic review of 65 studies, the authors highlight that most models emphasize trait-factor and work adjustment theories, while sociological and developmental approaches are underrepresented. The study suggests that career planning should focus on long-term, sustainable paths rather than isolated job decisions. It emphasizes the potential of computer-assisted career guidance (CACG) systems to manage multidimensional and changing factors in career development. The findings provide recommendations for improving career guidance practices to better align with sustainable development goals.