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)

Publisher: Routledge, part of the Taylor & Francis Group

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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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