Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis

Wang, Fu Lee and Liu, Na and Shapira, Philip and Yue, Xiaoxu and Guan, Jiancheng (2021) Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis. PLOS ONE, 16 (12). e0262050. ISSN 1932-6203

[thumbnail of journal.pone.0262050.pdf] Text
journal.pone.0262050.pdf - Published Version

Download (2MB)

Abstract

Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. Results indicate a growing yet concentrated, non-collaborative and multi-path development and protection profile for AI patenting, with cross-organization knowledge flows based mainly on interorganizational knowledge citation links.

Item Type: Article
Subjects: European Scholar > Social Sciences and Humanities
Depositing User: Managing Editor
Date Deposited: 03 Feb 2023 07:15
Last Modified: 15 Sep 2023 05:00
URI: http://article.publish4promo.com/id/eprint/201

Actions (login required)

View Item
View Item