Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Data and Information Science
Volume 7 (2022): Issue 3 (August 2022)
Open Access
A Morphology-Driven Method for Measuring Technology Complementarity: Empirical Study Involving Alzheimer's Disease
Xuefeng Wang
Xuefeng Wang
,
Rongrong Li
Rongrong Li
,
Yuqin Liu
Yuqin Liu
and
Ming Lei
Ming Lei
| Aug 12, 2022
Journal of Data and Information Science
Volume 7 (2022): Issue 3 (August 2022)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Article Category:
Research Paper
Published Online:
Aug 12, 2022
Page range:
20 - 48
Received:
Feb 18, 2022
Accepted:
Jun 02, 2022
DOI:
https://doi.org/10.2478/jdis-2022-0017
Keywords
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.