Title :
A systematic technology forecasting approach for New and Emerging Science and Technology: Case study of nano-enhanced biosensors
Author :
Huang, Lu ; Guo, Ying ; Porter, Alan L.
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper addresses the topic of anticipating likely development paths for a particular ¿New and Emerging Science & Technology¿ (NES&T). Characteristics of NES&T - technological uncertainty and contextual dynamics - pose challenges for technology management and forecasting practices. Researchers, technologists, R&D managers, staff in funding agencies and policy makers ¿need to know¿ future prospects. This requires better ways to capture NES&T development patterns, within their socio-economic context, as well as likely innovation opportunities. A new technology forecasting framework for NES&Ts is presented, supported by a case study of nano-enhanced biosensors.
Keywords :
biosensors; nanotechnology; technological forecasting; technology management; contextual dynamics; nano-enhanced biosensors; science and technology; socio-economic context; systematic technology forecasting framework; technology management; Biosensors; Economic forecasting; Information analysis; Research and development; Risk analysis; Technological innovation; Technology forecasting; Technology management; US Department of Transportation; Uncertainty; Brazil Nanotechnology Policy; Brazilian firms; Nanotechnology research; innovation; nanotechnology patents;
Conference_Titel :
Science and Innovation Policy, 2009 Atlanta Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-5041-1
Electronic_ISBN :
978-1-4244-5042-8
DOI :
10.1109/ACSIP.2009.5367839
