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

Authors

DOI:

https://doi.org/10.5912/jcb737

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.

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).

References

Frazzetto, G. (2003) White biotechnology. EMBO Rep. 4(9):835–837.

Becker, J., Wittmann, C. (2015) Advanced biotechnology: Metabolically engineered cells for the bio-based production of chemicals and fuels, materials, and health-care products. Angew Chem - Int Ed. 54(11):3328–3350.

Festel, G., Detzel, C., Maas, R. (2012) Industrial biotechnology - Markets and industry structure. J Commer Biotechnol. 18(1):11–21.

Gavrilescu, M., Chisti, Y. (2005) Biotechnology - A sustainable alternative for chemical industry. Biotechnol Adv. 23(7-8):471–99.

Woolston, BM., Edgar; S., Stephanopoulos, G. (2013) Metabolic engineering: Past and future. Annu Rev Chem Biomol Eng. 4:259–88.

Keasling, JD. (2008) Synthetic Biology for Synthetic Chemistry. ACS Chem Biol. 3(1):64–76.

Cosner, RR. (2010) Industrial Research Institute’s R&D Trends Forecast for 2010. Res-Technol Manag. 53(1):14–22.

Craig, V. Adams, MD., Myers, EW., Li, PW., Mural, RJ., Sutton, GG., et al. (2001) The sequence of the human genome. Science 291(5507):1304–1351.

Mehlman, SK., Uribe-Saucedo, S., Taylor, RP., Slowinski, G., Carreras, E., Arena, C. (2010) Better Practices for Managing Intellectual Assets in Collaborations. Res-Technol Manag. 53(1):55–66.

York, AS., Mc carthy, KA., Darnold, TC. (2009) Building biotechnology teams: Personality does matter. J Commer Biotechnol. 15(4):335–346.

McLaughlin, S. (2015) Characteristics of great bioscience leaders. J Commer Biotechnol. 21(1):65–68.

Behrens, W., Richert, A., Jeschke, S. (2015)

Development of a Questionnaire for the Screening of Communication Processes in Transdisciplinary Research Alliances. Int J Innov Manag Technol. 6(5):326–331.

Dodgson, M., Gann, DM., Salter, A. (2008) The Management of Technological Innovation: Strategy and Practice. OUP Oxford 604 p.

Ritu, B., Aifang, G., Namitha, S., (2014) Project selection in Innovation, technology, and knowledge management. Portland State University p. 29–51.

Gros, VL. (1992) Risk Management from a Technological Perspective. Geneva Pap Risk Insur - Issues Pract. 17(3):335–42.

Daim, TU., Pizarro, M., Talla, R. (2014) Planning and Roadmapping Technological Innovations: Cases and Tools. Springer Science & Business Media 281 p.

Wilson, GA., Perepelkin, J., Zhang, DD., Vachon, MA. (2014) Market Orientation, Alliance Orientation, and Business Performance in the Biotechnology Industry. J Commer Biotechnol. 20(2): 32-40.

Williamson, PJ. (1999) Strategy as options on the future. Sloan Manage Rev. 40(3):117–26.

Baltar, F. (2013) A Suitable “GPS†for SME’s: the Strategic Planning and organizational Learning Nexus. J Knowl Manag Econ Inf Technol. (2).

Tzvi Raz, AJS. (2002) Risk Management, Project Success, and Technological Uncertainty. RampD Manag. 32(2):101–109.

David, L., Olson, JRB. (2014) Introduction to risk and uncertainty management in technological innovation. Technovation 34(8):395–368.

Samsonowa, BP. (2009) Defining KPI sets for industrial research organizations - a performance measurement approach. Int J Innovat Manage. 13(02):157–76.

Hirst, G., Mann, LA. (2004) Model of R&D leadership and team communication: The relationship with project performance. R Manag. 34(2):147–60.

Nieuwenhuizen, PJ., Lyon, D. (2011) Anticipating opportunities in industrial biotechnology: Sizing the market and growth scenarios. J Commer Biotechnol. 17(2):159–64.

Rao, SK. (2011) Pricing biologics: Issues, strategic priorities and a conceptual model. J Commer Biotechnol. 17(1):7–23.

Boni, AA. (2013) A Business Perspective on IP: Open Innovation vs. Open Source in Commercializing Biotechnology. J Commer Biotechnol. 19(2):55-59.

Published

2016-08-30

Issue

Section

Article