Pathways to Sustainable Careers: Exploring Motivational Profiles Through Latent Class Analysis

The purpose of this study is to identify motivational profiles in sustainable career trajectories via emerging latent class methods using a multilevel schema between engagement in sustainable career practices, developing and utilizing job competency—a key marker for human capital development—and leader–member interaction. Using latent class analysis (LCA), we further identify different types of motivational profiles that reflect the principle and adaptable nature with which individuals can relate their sustainability values to career decisions. Results indicate large practical differences within latent classes, evidencing higher career adaptability and sustainability principles congruence in some groups. These differences highlight that intrinsic motivation, adaptability, and elements connected to the sector drive sustainable career engagement that should ensure enduring satisfaction with commitment to a chosen profession. In explaining why sustainability drives career advancement, this study takes a theoretical standpoint from three overarching theories: Career Construction Theory, Social Cognitive Career Theory (SCCT), and Sustainable Career Theory. The practical recommendations are that companies must offer programs at the sector level to increase career adaptability (readiness) and help employees build sustainable careers. This study calls attention to the importance of producing participative content that is demanded by organizations seeking greater resilience, well-being in work contexts, and their long-lasting survival as institutions.

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Publication Details

Journal
Sustainability
Published
2025-02-04
DOI
https://doi.org/10.3390/su17031253
Citations
1
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
2.37
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article

Pathways to Sustainable Careers: Exploring Motivational Profiles Through Latent Class Analysis

Yavuz Selim Balcıoğlu, Oya Erdil, Eren Doğan
1 citations
Sustainability
Career Development and Diversity
2.37
article

Pathways to Sustainable Careers: Exploring Motivational Profiles Through Latent Class Analysis

Yavuz Selim Balcıoğlu, Oya Erdil, Eren Doğan
article en
1 citations

Abstract

The purpose of this study is to identify motivational profiles in sustainable career trajectories via emerging latent class methods using a multilevel schema between engagement in sustainable career practices, developing and utilizing job competency—a key marker for human capital development—and leader–member interaction. Using latent class analysis (LCA), we further identify different types of motivational profiles that reflect the principle and adaptable nature with which individuals can relate their sustainability values to career decisions. Results indicate large practical differences within latent classes, evidencing higher career adaptability and sustainability principles congruence in some groups. These differences highlight that intrinsic motivation, adaptability, and elements connected to the sector drive sustainable career engagement that should ensure enduring satisfaction with commitment to a chosen profession. In explaining why sustainability drives career advancement, this study takes a theoretical standpoint from three overarching theories: Career Construction Theory, Social Cognitive Career Theory (SCCT), and Sustainable Career Theory. The practical recommendations are that companies must offer programs at the sector level to increase career adaptability (readiness) and help employees build sustainable careers. This study calls attention to the importance of producing participative content that is demanded by organizations seeking greater resilience, well-being in work contexts, and their long-lasting survival as institutions.

SustainabilityVol. 17(3)
Gebze Technical University (TR), Doğuş University (TR)
Openalex Percentile: Top 14%
Career Development and Diversity
2.37
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Pathways to Sustainable Careers: Exploring Motivational Profiles Through Latent Class Analysis — Yavuz Selim Balcıoğlu, Oya Erdil, et al. · Sustainability (2025) | TGRS Research Map | TGRS