과학기술분야 재직자의 지식공유, 학습민첩성, 학습전이, 혁신행동 간의 구조관계분석

This study empirically examined the structural relationships among knowledge sharing, learning agility, transfer of learning, and innovative behavior among employees in the science and technology sector. Using data from 1,334 participants in the 2024 KIRD Survey on Science and Technology Human Resource Development Activities, the study tested causal pathways through structural equation modeling. The findings showed that all hypotheses were supported. Knowledge sharing had significant positive effects on learning agility, transfer of learning, and innovative behavior. Learning agility positively influenced both transfer of learning and innovative behavior, while transfer of learning also enhanced innovative behavior. Among these variables, learning agility was the most influential predictor of innovative behavior. Furthermore, both learning agility and transfer of learning significantly mediated the relationship between knowledge sharing and innovative behavior, with a sequential mediation effect verified. These results highlight the need for science and technology organizations to shift HRD strategies from formal education to informal learning and knowledge-sharing–based transfer systems. Strengthening voluntary knowledge sharing and learning agility is essential to build a knowledge-driven learning culture that fosters continuous innovation.