Exploring the integrated innovation configuration effects among science, technology and industry in frontier interdisciplinary fields will help promote the linkage among science, technology and industry, and promote the development of new quality productivity through the incubation of breakthrough technologies. Based on the complex adaptive system theory, this study uses the comprehensive methods of Necessary Condition Analysis (NCA) and Fuzzy Set Qualitative Comparative Analysis (fsQCA) to explore the antecedent configuration effects of science-technology-industry integrated innovation. The study found that: a single complex adaptive system theory element does not constitute a necessary condition for science-technology-industry integrated innovation; knowledge capital blessing-marginal force type, capital leadership-environmental stimulation type, system dominance-environmental guarantee type, and environment-system interactive driving type are conditional configuration modes that produce high integrated innovation levels; capital agglomeration and knowledge diffusion conditions are the core conditions of the high integrated innovation level configuration mode. The study can provide theoretical and practical basis for the related research concerning the influencing factors of science-technology-industry integrated innovation.