디지털 전환이 경제적 성과에 미치는 영향: 의료용 물질 및 의약품 제조업 중심으로

This study applied the Dynamic Capability Theory to empirically investigate the structural pathway through which digital transformation, a core component of the Fourth Industrial Revolution, leads to the economic performance of manufacturers of medical substances and pharmaceuticals. The research established a theoretical model where the process of sensing technological changes, seizing resources, and reconfiguring organizational capabilities leads to economic performance, and verified this using a structural equation model based on data from the 2022 Korean Innovation Survey (KIS). The analysis revealed that companies with a higher recognition of the importance of big data and cloud technologies were more likely to actively utilize government support focused on tax, funding, and human resources. Conversely, artificial intelligence (AI) technology did not show statistical significance, which can be interpreted as reflecting the early stage of its industrial diffusion at the time of the data collection. Furthermore, successful digital transformation adopted with government support was found to have a positive impact on the economic performance of companies. This study, however, has limitations in that it used cross-sectional data and could not control for key variables such as corporate R&D investment and size. Nevertheless, it holds academic and practical value by providing empirical evidence for the Dynamic Capability Theory and suggesting priorities for technology adoption for companies and a direction for designing effective support policies for the government.