A spatial–temporal network analysis of patent transfers from U.S. universities to firms.

Autor/inn/en	Hu, Tao; Zhang, Yin
Titel	A spatial–temporal network analysis of patent transfers from U.S. universities to firms.
Quelle	In: Scientometrics, (2020) 1, S.27-54 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-020-03745-6
Schlagwörter	Patent transfer; University technology transfer; Spatial–temporal analysis; Network analysis; Firms; U.S. Patent and Trademark Office (USPTO)
Abstract	Abstract Universities play an important role in innovation development and are being recognized as a critical element for the global competitiveness of firms. However, there have been very few large-scale empirical studies using public patent transfer datasets to examine patent transfers from universities to firms. This study proposes a workflow that maps and integrates U.S. Patent and Trademark Office issued patent records with patent assignment datasets to result in the study data covering patents and their transfer transactions from 1990 to 2016. This study focuses on patent transfers from U.S. universities for a spatial–temporal analysis at three levels: institutional, state, and national. In addition, the study identifies a technology-oriented network among universities, firms, and technological areas and supports the notion that patent transfers coincide with the development and change of a local region and are affected and driven by policies, economic development, and cultural factors. This study reveals that the geographical distance of patent transfers has been shortened over time, suggesting more local and regional collaborations among universities and businesses. The results of the study can help identify emerging development fields in a given region, potentially leading to policy applications for research and development, strategic planning, and building effective collaboration networks between universities and businesses.
Erfasst von	OLC
Update	2023/2/05