Comparison on the Influences of Personal Characteristics as Antecedents of Learning Agility

Abstract

As cutting-edge technologies such as generative AI are advancing rapidly, many people are looking for answers to the question of what abilities or skills are essential for organizational members. Learning agility can be presented as a candidate because it refers to attitudes or abilities that are required to quickly identify and acquire the knowledge and skills needed in a new situation. The purpose of this study is to identify personal characteristics that can predict learning agility and compare the influences of each factor. In this study, core self-evaluation (a construct that encompasses self-esteem, self-efficacy, internal locus of control, and emotional stability), emotional intelligence, job involvement, person-job fit, and LMXSC were selected as antecedents of learning agility because they cover perceptions on different domains and are related to job attitudes and performance. Analyzing data collected from 260 employees working in subsidiaries of a conglomerate, the researcher discovered that EI and job involvement significantly explain learning agility after controlling for other factors and that EI has a significantly stronger effect on learning agility than person-job fit and LMXSC. This study has significance because it contributes to the development of a holistic theoretical model of learning agility and shows which factors should be focused on while designing learning agility development programs