Tracking innovation diffusion : AI analysis of large-scale patent data towards an agenda for further research
Ashkan Fredström, Joakim Wincent, David Sjödin, Pejvak Oghazi, Vinit Parida
| 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
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| Subject: | AI | DBSCAN | Innovation diffusion | Tracking technology | Unsupervised machine learning | Innovationsdiffusion | Patent | Künstliche Intelligenz | Artificial intelligence |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2020.120524 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012671854