Optimizing innovation networks in smart healthcare using ERGM analysis

Considered that the innovation network in the smart medical industry is quickly developing, an extensive analysis of the formation mechanism is important. “The majority of current researches in the area of smart medical are qualitative in nature, and few have concentrated on making use of quantitative methods to research the innovation procedure. Our research study addressed this gap by integrating the inherent impacts of network endogenous variables on network formation, consequently boosting the dependability and validity of research study on development networks in the wise medical industry,” adds corresponding author Bin Li.

In a write-up (doi: 10.1016/ j.jdec.2023.06.001) released in the Journal of Digital Economic climate, a duo of scholars from the College of Management at Shanghai College made use of cooperative license data from the smart medical market to research the factors and devices of technology network formation, supplementing the research study on the endogenous aspects driving network technology in this field.

Smart clinical is the item of the deep assimilation of the medical care solution industry and infotech. With the development of new-generation infotech such as artificial intelligence, huge data and cloud computing, in addition to the assistance of government policies, the application range of clever healthcare remains to expand.

To resolve the requirements of advancement and growth in the smart healthcare sector, this research uses the ERGM method, which can determine network endogenous impacts, to comprehensively examine the development mechanisms of innovation networks in this field. This analysis intends to help the industry optimize the layout of innovation networks and boost innovation efficiency.

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The writers discovered that among the major participants in the clever healthcare industry development network, resemblances in business characteristics, geographical distance and even more recent years of patent participation all promote the formation of network connections. Alternatively, a noticable core-periphery framework and lower network thickness can impede the development of diverse network connections somewhat, which is not conducive to the healthy advancement of the network.

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Advancement networks are interactive organizational relationships created via shared teamwork amongst advancement participants. Besides outside elements such as the geographical distance between nodes and the business attributes of nodes, the structural qualities of the network itself, such as geometrically weighted side sharing and degree midpoint, likewise affect network formation.”