<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec><h3>Purpose</h3>
<p>Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&amp;D cooperation.</p>
</sec>
<sec><h3>Design/methodology/approach</h3>
<p>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.</p>
</sec>
<sec><h3>Findings</h3>
<p>The improved technology complementarity method based on SAO is more of a supplementary and refined framework for the traditional IPC method.</p>
</sec>
<sec><h3>Research limitations</h3>
<p>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.</p>
</sec>
<sec><h3>Practical implications</h3>
<p>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.</p>
</sec>
<sec><h3>Originality/value</h3>
<p>From the perspective of complementary technology resources, this study develops and tests a more accurate morphology-driven method for technology complementarity measurement.</p>
</sec>
</abstract>

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.

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

China University of Petroleum (East China)

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

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

Article Category: Research Paper

Online veröffentlicht: 12. Aug. 2022

Seitenbereich: 20 - 48

Eingereicht: 18. Feb. 2022

Akzeptiert: 02. Juni 2022

DOI: https://doi.org/10.2478/jdis-2022-0017

Schlüsselwörter
Technology complementarity, SAO structure, Technology morphology analysis, Alzheimer's disease

© 2022 Xuefeng Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Article Category: Research Paper

Online veröffentlicht: 12. Aug. 2022

Seitenbereich: 20 - 48

Eingereicht: 18. Feb. 2022

Akzeptiert: 02. Juni 2022

DOI: https://doi.org/10.2478/jdis-2022-0017

SchlüsselwörterTechnology complementarity, SAO structure, Technology morphology analysis, Alzheimer's disease

© 2022 Xuefeng Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Technology complementarity, SAO structure, Technology morphology analysis, Alzheimer's disease