Text mining of information resources to inform Forecasting Innovation Pathways

Highly uncertain dynamics of New and Emerging Science and Technologies (NEST) pose special challenges to traditional forecasting tools. This paper explores the systematisation of the ‘Forecasting Innovation Pathways’ analytical approach through the application of Tech Mining. Once a set of multi-database, emerging technology search results has been obtained, we devise a means to help extract intelligence on key technology components and functions, major stakeholders, and potential applications. We present results pertaining to the development of dye-sensitized solar cells.

Author(s): Ying Guo, Tingting Ma, Alan L. Porter & Lu Huang
Organization(s): Beijing Institute of Technology; Georgia Institute of Technology
Source: Technology Analysis and Strategic Management
Year: 2012

http://www.tandfonline.com/doi/abs/10.1080/09537325.2012.715491

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