FBE Research Report MSI_1109
Publication date:
2011-07-01
Publisher:
K.U.Leuven - Faculty of Business and Economics; Leuven (Belgium)
Author:
Czarnitzki, Dirk
Hussinger, Katrin ; Schneider, Cédric
Keywords:
patents, patent indicators, quality measurement
Abstract:
This study investigates whether standard patent measures for the importance and basicness of patents are able to distinguish between “wacky” patents and a control group of randomly drawn patents. Our findings show that forward citations are good predictors of importance. However, the “wacky” patents have higher originality, generality and average citation lags than the controls, which suggests that these indicators should be interpreted carefully.