Title: Innovation science: a primer

Authors: Andrew Kusiak

Addresses: Intelligent Systems Laboratory, Department of Mechanical and Industrial Engineering, 3131 Seamans Center, The University of Iowa, Iowa City, Iowa 52242–1527, USA

Abstract: The term innovation resonates broadly in cyberspace, books and journals. A careful analysis of the vast open-source information indicates that the engineering literature on underlying science of innovation is limited. Innovations in any domain can be enhanced by principles and insights from different disciplines. However, the process of identifying the linkages between the diverse disciplines and the target domain is not well understood. The innovation process and conditions triggering innovation set the stage for economic progress. This paper contributes to better understanding of the process of innovation by introducing basic innovation models. The ideas outlined provide a roadmap for areas of future study, as innovation science can provide a pathway for industries to be able to successfully compete in the global market.

Keywords: data mining; evolutionary computation; innovation process; innovation science; knowledge discovery; engineering literature; open source; innovation modelling.

DOI: 10.1504/IJCAT.2007.013351

International Journal of Computer Applications in Technology, 2007 Vol.28 No.2/3, pp.140 - 149

Published online: 22 Apr 2007 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article