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

fYear

2009

fDate

2-3 Oct. 2009

Firstpage

1

Lastpage

10

Abstract

This paper addresses the topic of anticipating likely development paths for a particular Â¿New and Emerging Science & TechnologyÂ¿ (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 Â¿need to knowÂ¿ 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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ACSIP.2009.5367839

Filename

5367839