The Impact of Emotional Intelligence on Career Decision-Making Difficulties and Generalized Self-Efficacy Among University Students in China

Psychol Res Behav Manag. 2022 Apr 8:15:865-874. doi: 10.2147/PRBM.S358742. eCollection 2022.

Abstract

Purpose: University life is a critical time when students start thinking about their careers in the future. Emotions and confidence are important factors in the career decision-making process. This process of choosing a specific direction towards a career often opens students to many uncertain situations, leading them to stress and anxiety. Emotional intelligence and generalized self-efficacy facilitate students in effective career decision-making by coping with difficulties during academia. The present study aimed to find the impact of emotional intelligence (EI) on career decision-making (CDM) and generalized self-efficacy (GSE) among university students in China.

Patients and methods: The study included 310 undergraduate students from different universities of China. A cross-sectional research design was used and a convenient sampling technique was utilized. For the present study, Wong and Law emotional intelligence, generalized self-efficacy, and career decision-making difficulties scales were utilized.

Results: Findings of the study show that there is a significant relationship between EI, GSE, and career decision-making difficulties. Results revealed a significant positive relationship of GSE with emotional intelligence. GSE has a significant negative relationship with career decision-making difficulties. Moreover, EI has a significant negative relationship with career decision-making difficulties.

Conclusion: The study will help students to utilize emotional intelligence skills during academic and vocational life. For future research, qualitative studies would be conducted to better explore the underlying causes behind career decision-making difficulties.

Keywords: China; career decision-making difficulties; emotional intelligence; generalized self-efficacy; university students.

Grants and funding

The open access of this research is supported by the SPEV project 2021 at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic.