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

作　　者：Xuefeng Wang Rongrong Li Yuqin Liu Ming Lei 

机构地区：[1]School of Management&Economics,Beijing Institute of Technology,Haidian District,Beijing 100081,China [2]School of Economics and Management,China University of Petroleum(East China),Qingdao,Shandong 266580,China [3]School of Journalism and Publication,Beijing Institute of Graphic Communication,Daxing District,Beijing 102600,China

出　　处：《Journal of Data and Information Science》2022年第3期20-48,共29页数据与情报科学学报（英文版）

基　　金：This work was supported by the General Program of National Natural Science Foundation of China under(Grant Nos.71774012,72104246,71673024);the Fundamental Research Funds for the Central Universities(22CX04010B);the strategic research project of the Development Planning Bureau of the Chinese Academy of Sciences(Grant No.GHJ-ZLZX-2019-42).The findings and observations in this paper are those of the authors and do not necessarily reflect the views of the supporters.

摘　　要：Purpose:Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&D cooperation.Design/methodology/approach:This study constructs a morphology-driven method for measuring technology complementarity,taking medical field as an example.First,we calculate semantic similarities between subjects(S and S)and action-objects(AO and AO)based on the Metathesaurus,forming clusters of S and AO based on a semantic similarity matrix.Second,we identify key technology issues and methods based on clusters of S and AO.Third,a technology morphology matrix of several dimensions is constructed using morphology analysis,and the matrix is filled with subjects-action-objects(SAO)structures according to corresponding key technology issues and methods for different institutions.Finally,the technology morphology matrix is used to measure the technology complementarity between different institutions based on SAO.Findings:The improved technology complementarity method based on SAO is more of a supplementary and refined framework for the traditional IPC method.Research limitations:In future studies we will reprocess and identify the SAO structures which were not in the technology morphology matrix,and find other methods to characterize key technical issues and methods.Furthermore,we will add the comparison between proposed method and traditional and mostly used complementarity measurement method based on industry chain and industry code.Practical implications:This study takes medical field as an example.The morphology-driven method for measuring technology complementarity can be migrated and applied for any given field.Originality/value:From the perspective of complementary technology resources,this study develops and tests a more accurate morphology-driven method for technology complementarity measurement.

关 键 词：Technology complementarity SAO structure Technology morphology analysis Alzheimer’s disease 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] R749.16[自动化与计算机技术—控制科学与工程]