On the Measurement of Patent Stock as Knowledge Indicators
By Gwangman Park, Yongtae Park. 2006
127 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/a4ee3fdfcf359ccfca1da362660bab119079bf0a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- S. Roper
- Nola Hewitt-Dundas
- Hyeonju Seol
- Yangrae Cho
- Changyong Lee
- Yongtae Park
- J. Love
- P. Ganotakis
In Management of Technology and Innovation
Citations in the corpus
- What turns knowledge into innovative products? The role of entrepreneurship and knowledge spillovers (2009, unknown): “Patent measures, which comprise patent counts and patent issuances, may be interpreted as output-based measures of technological knowledge (Park and Park 2006).”
- Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data (2015, background): “…businessunit level analysis of this type, exploring the relationship between patent stocks and surveybased measures of innovation outputs has been possible, although other studies have considered the effect of firms’ innovation strategy on patenting behaviour (Peeters and van Pottelsberghe 2006)1.”
- A stochastic patent citation analysis approach to assessing future technological impacts (2012, methodology): “Although there may exist variations across the nature of technologies, our method could provide more accurate and more significant results when it is applied to the patents about computers, electronics, and communication equipment that are characterized by shortened innovation cycles and high obsole”