Technological regimes and the variety of innovation behaviour: Creating integrated taxonomies of firms and sectors
By M. Peneder. 2010
268 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/3e8e26777fd3c7eb32edb735f4d71d9bf1cf44a4
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
- Juergen Janger
- Petra Andries
- Oliver Gassmann
- Marcus M. Keupp
- Torben Schubert
- C. Rammer
- Machteld Hoskens
- G. Bosworth
In Management Science and Operations Research
- Juergen Janger
- Petra Andries
- Oliver Gassmann
- Marcus M. Keupp
- Torben Schubert
- C. Rammer
- M. Hiebl
- S. Haberman
In Strategy and Management
- Oliver Gassmann
- Marcus M. Keupp
- Torben Schubert
- Juergen Janger
- Petra Andries
- C. Rammer
- Marcel Bogers
- Joel West
Citations in the corpus
- Identifying social innovations in European local rural development initiatives (2016, background): “By contrast, creative innovations that are “outside the range of existing practice” (Schumpeter 1947, 150 cited in Peneder 2010) may be less frequent.”
- Untangling the relationships among growth, profitability and survival in new firms (2013, unknown): “Hence, growth processes are not symmetrical across industries but vary with the innovation intensity of a specific industry sector (Audretsch, 1995; Peneder, 2010) a cornerstone of what is theorized as ‘technological regimes’ (Nelson and Winter, 1982; Spencer and Kirchhoff, 2006).”
- The EU 2020 Innovation Indicator: A Step Forward in Measuring Innovation Outputs and Outcomes? (2017, background): “The empirical literature agrees that innovation outputs significantly influence economic performance in all industries, including less knowledge-intensive ones, either through product differentiation or cost reduction (Peneder, 2010; Kirner et al., 2009).”
- Resource constraints as triggers of radical innovation: Longitudinal evidence from the manufacturing sector (2013, background): “Thus, we can alleviate the disadvantage of a lack of useable time series in the CIS data (Peneder, 2010).”