English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Network Structure and Inventive Performance

MPS-Authors
/persons/resource/persons130171

Harhoff,  Dietmar
MPI for Innovation and Competition, Max Planck Society;

/persons/resource/persons130174

Hoisl,  Karin
MPI for Innovation and Competition, Max Planck Society;

/persons/resource/persons130190

Steinle,  Christian
MPI for Innovation and Competition, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Harhoff, D., Hoisl, K., & Steinle, C. (2018). Network Structure and Inventive Performance. Academy of Management Proceedings, 2018(1). doi:10.5465/AMBPP.2018.86.


Cite as: https://hdl.handle.net/21.11116/0000-0003-6E12-E
Abstract
The goal of this paper is to analyze how different structural configurations of networks stimulate invention activities, i.e., whether they increase the quantity or the quality of patented inventions. We present theoretical arguments implying that the strength of ties is more important for inventive quality, and the size of a network is more important for inventive quantity. We base our analysis on original survey data obtained from 1,204 inventors listed on European patent applications of companies active in clean technology, nanotechnology, and mechanical engineering. The survey data were matched with register information covering 15,168 patent applications filed at the European Patent Office. We find that the size of the network and the strength of the ties are positively related to invention quantity and quality. After instrumenting the endogenous network variables, we find that not considering endogeneity leads to an overestimation of the effect of the network size and an underestimation of the effect of the strength of the network ties. Additionally, after instrumenting the endogenous variables, we find that whereas the size of a network is equally important for invention quantity and quality, the strength of network ties is considerably more important (times 1.6) for quality than for quantity.