What drives partners in industry-academia cooperation? A special consideration of reducing uncertainty through computational chemistry
by Benjamin Niedergassel, Clive-Steven Curran, Michael Leßing, Jens Leker
International Journal of Technology Intelligence and Planning (IJTIP), Vol. 3, No. 4, 2007

Abstract: A high degree of uncertainty is an inherent characteristic of innovation processes. In the chemical and pharmaceutical industry firms have traditionally relied on experimental trial and error in their R&D strategy. Against this background, computational chemistry provides the possibility to streamline the R&D process and accelerate development times. In this setting we employ a sample of 148 respondents to identify different types of scientists with respect to their attitudes towards industry-academia cooperation. We find two significantly distinct groups: 'The Pure Scientist' and 'The Pure Cooperator'. The characteristics of these types are further described and managerial implications are discussed.

Online publication date: Sun, 16-Dec-2007

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