Creative Self-Efficacy, Cognitive Reappraisal, Positive Affect, and Career Satisfaction: A Serial Mediation Model

Abstract

With a substantial body of research supporting the critical role of positive affect in improving work outcomes and enhancing career success, investigating the factors that facilitate emotion regulation strategies for fostering positive affect becomes an important research question. In this context, our study explores the association between strong creative self-efficacy and high cognitive reappraisal—an established and potent emotion regulation strategy known to increase positive affect. We propose a model wherein high levels of creative self-efficacy lead to a tendency for cognitive reappraisal, resulting in high levels of positive affect that ultimately contribute to greater career satisfaction. Our investigation, conducted with a sample of 550 adults in South Korea, examines the indirect relationship between creative self-efficacy and career satisfaction through cognitive reappraisal and, in turn, positive affect. Our findings reveal a positive association between creative self-efficacy and cognitive reappraisal. Moreover, a significant relationship is observed between creative self-efficacy and positive affect through the mediation of cognitive reappraisal. Importantly, the indirect effect of creative self-efficacy on career satisfaction is mediated through cognitive reappraisal and then positive affect. These findings not only expand our insight into the factors contributing to positive affect and career satisfaction but also underscore the valuable role of creative self-efficacy in career satisfaction.

Investigating Structural Relationships between Professional Identity, Learning Engagement, Academic Self-Efficacy, and University Support: Evidence from Tourism Students in China

“…These tourism students were then asked to assist in recruiting respondents and were encouraged to share the online survey link with tourism students studying at other universities in China. According to Oh and Pyo [92], the snowball sampling method is useful in increasing generalizability by sampling participants across diverse backgrounds. The data collection took approximately three months to complete, from March to May 2023.…”