How should we measure collaborative research and development performance?

2010 ◽  
Vol 7 (3/4) ◽  
pp. 360 ◽  
Author(s):  
Chen Yen Yao ◽  
Feng Shang Wu
Keyword(s):  
Research And Development ◽  
Collaborative Research

Adoption, Adaptive Innovation, and Creative Innovation Among SMEs in Malaysian Manufacturing

2014 ◽  
Vol 13 (2) ◽  
pp. 32-58 ◽  
Author(s):  
Seyed Mehrshad Parvin Hosseini ◽  
Suresh Narayanan
Keyword(s):  
Technology Transfer ◽  
Research And Development ◽  
Collaborative Research ◽  
Small Firms ◽  
Technical Support ◽  
Export Orientation

We categorized innovating firms in an ascending order as adopters, adapters, and creators to examine factors motivating these activities. For small firms, creation and adaption were significantly correlated with export orientation, engaging in collaborative research and development (R&D), receiving technical support from outside agencies, gaining technology from parent establishments, and supplying parts to multinationals. For medium-sized firms, R&D incentives, collaborative research, and accessing technology from parent plants were significant. Adoption in small firms was associated with export exposure and operating for 11 years or more. R&D incentives, collaborative research, and technology transfer from parent plants were negatively related to adoption in medium-sized firms.

Collaborative Research and Development: New Insights from Cyclic Models of the Innovation Process

1998 ◽  
Vol 02 (01) ◽  
pp. 107-121 ◽  
Author(s):  
John Steen ◽  
Dallas Hanson ◽  
Peter Liesch
Keyword(s):  
Research And Development ◽  
Collaborative Research ◽  
Linear Models ◽  
Innovation Process ◽  
Current Theory ◽  
Government Funding ◽  
Interactive Process ◽  
Codified Knowledge ◽  
Cyclic Models ◽  
Forms Of Knowledge

Traditional linear models of innovation, in which it is assumed that government funding of R&D will axiomatically create innovative industries, have become obsolete. This paper suggests that innovation is in fact a complex and interactive process that involves cycles of learning. However, these "knowledge cycle" models of innovation are largely unvalidated empirically and further research will be required to extend the current theory. Knowledge cycle models appear to be superior to the linear models for a number of reasons. These include major roles for tacit (uncodified) knowledge as well as explicit (codified) knowledge, which are largely ignored in linear innovation models. An emphasis upon iterative collaboration between firms and researchers and the importance of firms participating more directly in the research and development (R&D) process may enhance the utilisation of these forms of knowledge.

scholarly journals Building Healthy Tribal Nations in Montana and Wyoming Through Collaborative Research and Development

2005 ◽  
Vol 95 (5) ◽  
pp. 784-789 ◽  
Author(s):  
Steve R. Andersen ◽  
Gordon M. Belcourt ◽  
Kathryn M. Langwell
Keyword(s):  
Research And Development ◽  
Collaborative Research ◽  
Tribal Nations
Sign in / Sign up

Export Citation Format

Share Document