Tracking innovation diffusion : AI analysis of large-scale patent data towards an agenda for further research
Year of publication: |
2021
|
---|---|
Authors: | Fredström, Ashkan ; Wincent, Joakim ; Sjödin, Rönnberg David ; Oghazi, Pejvak ; Parida, Vinit |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 165.2021, p. 1-6
|
Subject: | AI | DBSCAN | Innovation diffusion | Tracking technology | Unsupervised machine learning | Innovationsdiffusion | Patent | Künstliche Intelligenz | Artificial intelligence |
-
Are pair trading strategies profitable during COVID-19 period?
Sohail, Muhammad Khalid, (2022)
-
The global economic potential of 5G-enabled technology
(2023)
-
Evaluating internal and external knowledge sources in adopting artificial intelligence
D'Amico, Elettra, (2023)
- More ...
-
Fredström, Ashkan, (2022)
-
Madanaguli, Arun Thirumalesh, (2023)
-
Lenka, Sambit, (2018)
- More ...