Exploring AI-driven Innovation in Public Sector R&D Organizations

In the era of technological competition, the field of science and technology is a crucial determinant of national competitiveness.Public sector research institutes, in particular, handle areas of science and technology that are challenging to advance in the market, including basic science, security, defense, and national security.These areas represent domains of large-scale and long-term research with significant economic and societal impacts, ultimately benefiting all citizens.Therefore, enhancing the operational efficiency of public research organizations to increase research productivity is essential.This study proposes an organizational framework that integrates AI technology for scientific organizational management.It presents a new organizational design framework (AI R&D ODF) that is a multidisciplinary approach, combining organizational theory with software development processes.The data characteristics of R&D(research & development) organizations, including the significance of data at the point of creation, data security, and data sharing, differ from those of other organizations.Therefore, this study developed a distinctive framework applicable to public organizations and presented detailed step-by-step information.Public sector R&D organizations can enhance decision-making transparency, accuracy, and productivity through the proactive adoption of artificial intelligence technology facilitated by this framework.Additionally, its expansive application to private R&D organizations, which have higher data openness, can also be considered.