Effects of university characteristics on scientists’ interactions with the private sector: an exploratory assessment
By Branco Leonidov Ponomariov. 2008
150 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management of Technology and Innovation, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/84bb75aa5efafd395ee1b7707df472554812a473
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
- Markus Perkmann
- Piers Thompson
- Robert Huggins
- Ammon J. Salter
- Daniel Prokop
- Valentina Tartari
- Weiping Wu
- Christoph Grimpe
In Management of Technology and Innovation
- Piers Thompson
- Christoph Grimpe
- Valentina Tartari
- Pablo D'Este
- Robert Huggins
- Daniel Prokop
- Markus Perkmann
- Ammon J. Salter
In Statistics and Probability
- Pablo D'Este
- Daniel Prokop
- Heide Loehlein Fier
- Weiping Wu
- Ammon J. Salter
- J. Edler
- Markus Perkmann
- Piers Thompson
Citations in the corpus
- In good company: : The influence of peers on industry engagement by academic scientists (2012, methodology): “This research is complemented by studies exploring the role of organizational structures and other attributes including the features of specialized technology transfer units, and university or department research quality (Bozeman and Gaughan, 2007; D’Este and Patel, 2007; Ponomariov, 2008).”
- Engaging Excellence? Effects of Faculty Quality on University Engagement with Industry (2011, unknown): “According to data from the US Research Value Mapping Program survey, the higher the average academic quality of an institution, the lower the propensity of individual scientists to interact with the private sector (Ponomariov, 2008).”
- Why do academics engage with industry? The entrepreneurial university and individual motivations (2009, methodology): “While previous research has often focused on more easily measurable interactions such as patenting, licensing and academic entrepreneurship, collaboration has remained in the background, with some exceptions (MeyerKrahmer and Schmoch 1998; Ponomariov 2008; Martinelli et al. 2008; Perkmann and Walsh ”
- International Scientist Mobility and the Locus of Knowledge and Technology Transfer (2011, background): “This result has been confirmed by Ponomariov (2008) for universities, finding a negative correlation between scientific quality of university units and their propensity to collaborate with firms.”
- Managing and incentivizing research commercialization in Chinese Universities (2010, background): “Research shows that, within the university, there are important institutional underpinnings for building commercial linkages that are related to outputs such as patents, licensing revenue, and startup formation (Link and Siegel 2007; O’Shea et al. 2008; Ponomariov 2008).”
- Universities and open innovation: the determinants of network centrality (2019, background): “There is evidence that engagement activities are negatively related to university or department quality, potentially reflecting a lesser need to access finance from alternative sources (D’Este and Patel 2007; Ponomariov 2008; Ponomariov and Boardman 2008).”