Exploring the Link between Innovation and Firm Performance
Yannis Hatzikian ()
Journal of the Knowledge Economy, 2015, vol. 6, issue 4, 749-768
Abstract:
In the context of this paper, we examine the relationship between innovation and firm performance for Greece. We test the hypothesis that there is a U-shaped relationship between innovation and firm performance, in the short-term period. We apply the method for examining nonlinearities, that is, the introduction of squared terms as independent variables. The collected variables are used in a multiple linear model formulation to evaluate the relative performance associated with them. For this reason, a number of variables are used, like the innovation intensity, the squared term of innovation intensity, the R&D personnel, and the productivity, as well as the firm size as control variable. We rely on the final results of a research project on women in innovation, technology, and science, based on 372 questionnaires selected on a 2-year time period (2004–2006). Copyright Springer Science+Business Media New York 2015
Keywords: Innovation; R&D; Productivity; Policy (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://hdl.handle.net/10.1007/s13132-012-0143-2 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jknowl:v:6:y:2015:i:4:p:749-768
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132
DOI: 10.1007/s13132-012-0143-2
Access Statistics for this article
Journal of the Knowledge Economy is currently edited by Elias G. Carayannis
More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().