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?)

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

Forbidden fruit An analysis of bootlegging, uncertainty and learning in corporate R&D

SIGLEAvailable from British Library Document Supply Centre- DSC:DX185040 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A DIAGNOSTIC PERSONALITY TEST TO IDENTIFY LIKELY CORPORATE BOOTLEG RESEARCHERS

This paper examines the proposition that bootlegger entrepreneurs can be identified by their creativity. This is done with the help of a standard psychological test. Bootleg researchers can be identified by applying the test because they are very creative people. With this test a firm might be able to discourage or encourage employment of potential candidates for its R&D department. Thus, a firm can indirectly control the number of bootleg innovations produced in the firm or simply avoid wasting time consuming management resources, as bootleg entrepreneurs can be difficult to manage at times. The result of this research adds new evidence to current literature.Bootlegging, R&D, researcher, psychological test, innovation