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pro vyhledávání: '"Hain, Daniel S"'
Patent data is an important source of knowledge for innovation research, while the technological similarity between pairs of patents is a key enabling indicator for patent analysis. Recently researchers have been using patent vector space models base
Externí odkaz:
http://arxiv.org/abs/2206.02690
Publikováno v:
In Technological Forecasting & Social Change September 2024 206
This study provides an efficient approach for using text data to calculate patent-to-patent (p2p) technological similarity, and presents a hybrid framework for leveraging the resulting p2p similarity for applications such as semantic search and autom
Externí odkaz:
http://arxiv.org/abs/2103.11933
This paper draws upon the evolutionary concepts of technological relatedness and knowledge complexity to enhance our understanding of the long-term evolution of Artificial Intelligence (AI). We reveal corresponding patterns in the emergence of AI - g
Externí odkaz:
http://arxiv.org/abs/2102.00233
Autor:
Nechaev, Ivan a, b, ⁎, Hain, Daniel S. a
Publikováno v:
In Journal of Cleaner Production 1 December 2023 429
Publikováno v:
Regional Studies; Nov2024, Vol. 58 Issue 11, p2158-2174, 17p
Publikováno v:
In Technological Forecasting & Social Change April 2022 177
Autor:
Hain, Daniel S1 (AUTHOR), Jurowetzki, Roman1 (AUTHOR) roman@business.aau.dk, Konda, Primoz1,2,3 (AUTHOR), Oehler, Lars2,3,4 (AUTHOR)
Publikováno v:
Industrial & Corporate Change. Oct2020, Vol. 29 Issue 5, p1233-1255. 23p. 2 Diagrams, 4 Charts, 5 Graphs.
Publikováno v:
In International Business Review June 2020 29(3)