To address the needs of innovation and development in the smart healthcare industry, this study employs the ERGM method, which can identify network endogenous effects, to comprehensively analyze the formation mechanisms of innovation networks in this sector.
Chinese Academy of SciencesJun 28 2024 This analysis aims to help the industry optimize the layout of innovation networks and improve innovation efficiency.
Smart medical is the product of the deep integration of the healthcare service industry and information technology. With the advent of new-generation information technologies such as artificial intelligence, big data and cloud computing, along with the support of government policies, the application scope of smart healthcare continues to expand.
In an article published in the Journal of Digital Economy, a duo of scholars from the School of Management at Shanghai University used cooperative patent data from the smart medical industry to study the factors and mechanisms of innovation network formation, supplementing the research on the endogenous factors driving network innovation in this field.
Innovation networks are interactive organizational relationships constructed through mutual cooperation among innovation participants. Besides external factors such as the geographical distance between nodes and the organizational attributes of nodes, the structural characteristics of the network itself, such as geometrically weighted edge sharing and degree centrality, also influence network formation.
The authors found that among the main participants in the smart healthcare industry innovation network, similarities in organizational attributes, geographical proximity and more recent years of patent cooperation all promote the formation of network connections. Conversely, a pronounced core-periphery structure and lower network density can hinder the formation of diverse network connections to some extent, which is not conducive to the healthy development of the network.
Healthcare Research Technology
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