Abstract
The present study aims to identify latent profiles based on career plateau among those working in the science and technology field using latent profile analysis. We also investigated the effect of predictors on the classification of the profiles and the differences between outcome variables among the profiles. We analyzed data from 2,059 employees from the 2022 Human Resources Development Survey in Science and Technology data collected by the Korea Institute of Human Resources Development in Science and Technology (KIRD). The result showed that five profiles were identified: average plateau, low plateau, promotion plateau, growth plateau, and career ceiling. As predictive variables, perceived career development support, informal learning, and social networking were significant, and there were significant differences in career satisfaction, organizational commitment, turnover intention, and work- life balance between the five profiles. Based on the findings, theoretical and practical implications were discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Korean Human Resource Development Strategy Institute
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
