Employees’ Approaches to Deep Learning for Sustainable Career Development: The Mediating Effects of Career Meta-competency

The purpose of this study was to examine whether there is a difference in the effects of the learning approach in the workplace on subjective career success and to verify the mediating effect of career meta-competency in the relationship of the learning approach on subjective career success. Statistical analysis for 303 survey responses data was conducted using SPSS 23.0 and AMOS 23.0. In particular, the learning approach included three components: a deep learning approach, a superficial-rational approach, and a superficial-disordered approach. The results identified that the deep learning approach was positively related to subjective career success. However, the superficial-rational approach and the superficial-disordered approach was not significantly associated with subjective career success. The relationship between the deep learning approach and subjective career success was partially mediated by career meta competency. Organizations and HRD practitioners need to keenly seek ways to promote the deep learning and increase the level of reflection, and organization members should strengthen career identity and career adaptability by engaging in new tasks and educational opportunities, various networking inside and outside the organization, and continuous learning