Text mining of information resources to inform Forecasting Innovation Pathways
Authors: Guo, Ying1; Ma, Tingting1; Porter, Alan L.2; Huang, Lu1
Source: Technology Analysis and Strategic Management, Volume 24, Number 8, 1 September 2012 , pp. 843-861(19)
Abstract:
Highly uncertain dynamics of New and Emerging Science and Technologies 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-sensitised solar cells.Keywords: Forecasting Innovation Pathways; New and Emerging Science and Technologies; Tech Mining; nanotechnology; dye-sensitised solar cells; technology intelligence
Document Type: Research article
DOI: http://dx.doi.org/10.1080/09537325.2012.715491
Affiliations: 1: School of Management and Economics,Beijing Institute of Technology, Beijing, China 2: Technology Policy and Assessment Center,Georgia Institute of Technology, Atlanta,GA, USA
Publication date: 2012-09-01
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- By this author: Guo, Ying ; Ma, Tingting ; Porter, Alan L. ; Huang, Lu

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