Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

On the relationship between innovation and performance: A sensitivity analysis

On the relationship between innovation and performance: A sensitivity analysis We examine sensitivity of the estimated relationship between innovation and firm performance. In doing so, we rely on a knowledge production function approach and carry out comparisons in a number of ways. The sensitivity analysis is based on the comparison of a basic econometric model estimated assuming different error structure and using the same data source, an identical model but different data sources, different classifications of firms performance, different classifications of innovation and the two main different subpopulations of the business sector. The analyses are performed in both level and growth-rate dimensions. New findings are reported and previous results are confirmed as well. The study gives indications of what factors cause variations in the estimated effects of interest and the direction of changes. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics of Innovation and New Technology Taylor & Francis

On the relationship between innovation and performance: A sensitivity analysis

28 pages

Loading next page...
 
/lp/taylor-francis/on-the-relationship-between-innovation-and-performance-a-sensitivity-aWWBSNvfFE

References (58)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1476-8364
eISSN
1043-8599
DOI
10.1080/10438590500512810
Publisher site
See Article on Publisher Site

Abstract

We examine sensitivity of the estimated relationship between innovation and firm performance. In doing so, we rely on a knowledge production function approach and carry out comparisons in a number of ways. The sensitivity analysis is based on the comparison of a basic econometric model estimated assuming different error structure and using the same data source, an identical model but different data sources, different classifications of firms performance, different classifications of innovation and the two main different subpopulations of the business sector. The analyses are performed in both level and growth-rate dimensions. New findings are reported and previous results are confirmed as well. The study gives indications of what factors cause variations in the estimated effects of interest and the direction of changes.

Journal

Economics of Innovation and New TechnologyTaylor & Francis

Published: Jun 1, 2006

Keywords: Knowledge capital; Productivity; Innovation; Manufacturing; Services; Knowledge intensity; Community innovation survey

There are no references for this article.