Hopkins, Michael M and Siepel, Josh (2013) Just how difficult can it be counting up R&D funding for emerging technologies (and is tech mining with proxy measures going to be any better?). Technology Analysis and Strategic Management, 25 (6). pp. 655-685. ISSN 0953-7325

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Abstract

Decision makers considering policy or strategy related to the development of emerging technologies expect high quality data on the support for different technological options. A natural starting point would be R&D funding statistics. This paper explores the limitations of such aggregated data in relation to the substance and quantification of funding for emerging technologies.

Using biotechnology as an illustrative case, we test the utility of a novel taxonomy to demonstrate the endemic weaknesses in the availability and quality of data from public and private sources. Using the same taxonomy, we consider the extent to which tech-mining presents an alternative, or potentially complementary, way to determine support for emerging technologies using proxy measures such as patents and scientific publications.

Item Type:	Article
Additional Information:	Special Issue: Tech Mining for Innovation Management
Keywords:	science and technology and innovation policy studies, technology and innovation studies, science and technology indicators, emerging technologies, data mining, social shaping of technology
Schools and Departments:	School of Business, Management and Economics > SPRU - Science Policy Research Unit
Subjects:	H Social Sciences > H Social Sciences (General)
Depositing User:	Josh Siepel
Date Deposited:	28 May 2013 07:30
Last Modified:	07 Mar 2017 05:40
URI:	http://srodev.sussex.ac.uk/id/eprint/39785

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