Manage Complexity and Uncertainty in Biotechnological Innovations: Converting Theoretical Advances into Opportunities
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Keywords

Technological collaboration
Industrial microbiology
Innovation strategy
Complexity management
Uncertainty mitigation
Value capturing

Abstract

The recent development of synthetic biology and system genomic open a new promising dimension for bioprocesses optimization. This induces an increasing complexity of applications in the biotechnology industry. Moreover, profitable bioprocesses design requires close collaboration between specialists as biologist, geneticist, or process engineer. As a consequence, the theoretic complexity of bioprocesses development steps is hardly increased. The implementations of efficient collaboration structures allowing to take profit from external opportunities are at the basis of strong competitive advantages for technological companies. Additionally, the uncertainty of technological innovations in live science is the second constraint to solve for allowing novelty emergence in biotechnology. This paper develops an organization and strategic framework which encompasses both industry and universities or public research centers. It highlights several keys aspects to cope efficiently with complexity and uncertainty. More precisely, this article suggests the interest to implement an efficient technological innovation framework considering three main dimensions: an appropriate human recourses management, a rational technological innovation strategy and an efficient collaborative network.
https://doi.org/10.5912/jcb737
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