A Morphology-Driven Method for Measuring Technology Complementarity: Empirical Study Involving Alzheimer's Disease

A Morphology-Driven Method for Measuring Technology Complementarity: Empirical Study Involving Alzheimer's Disease

Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&D cooperation.

Bibliographic Details
Main Authors:	Wang Xuefeng, Li Rongrong, Liu Yuqin, Lei Ming
Format:	Article
Language:	English
Published:	Sciendo 2022-08-01
Series:	Journal of Data and Information Science
Subjects:	technology complementarity sao structure technology morphology analysis alzheimer's disease
Online Access:	https://doi.org/10.2478/jdis-2022-0017

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