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




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


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.

Author Biography

Jonathan Baert, Gembloux Agro-Bio Tech

JB Holds a master in bioingeneering from Université Libre de Bruxelles (ULB) and a master in management from the Solvay Business School Economics and Management (SBEM). He is currently working on bioporcesses optimization and completing his PhD thesis at Gembloux Agro-Bio Tech (GxABT).


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