인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
This research develops a system dynamics model to represent the complex process of technology and knowledge transfer from academic research to product commercialization. The study aims to establish mathematical relationships between key variables within this process and link them to the Technology Readiness Level (TRL). Employing a system dynamics (SD) approach, a causal loop diagram (CLD) visualizes cause-and-effect relationships, while a stock and flow diagram (SFD) models the quantitative interactions between variables. Simulations were conducted to analyze the effects of various scenarios on TRL progression and associated activities. The SD approach effectively captures the dynamic complexity inherent in technology transfer, including feedback loops, time delays, and non-linear interactions. Simulation results indicate a 24–26-month timeframe for advancing from TRL 1 (basic research) to TRL 9 (commercialization), with a projected 7.5-year payback period. While lower product prices reduce the break-even point, they have minimal impact on TRL progression. The simulations further demonstrate how diverse scenarios and policy interventions influence TRL advancement and the outcomes of technology and knowledge transfer activities. This study's findings suggest that the developed dynamic systems model offers a valuable tool for policymakers, university administrators, and industry stakeholders to design and evaluate strategies for accelerating innovation commercialization. It provides a mechanism for assessing the impact of policy choices on both commercialization time-lines and the financial performance of new products. The research uniquely integrates TRL with key technology transfer activities within a unified SD framework, offering a novel perspective on how policy decisions can influence the success of technology transfer and commercialization.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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