UCL School of Management

Research project

Innovation investment decision making

Summary

Innovation is inherently risky, with some (radical) innovation projects being more risky than others (incremental). Therefore, any proposed investment in innovation needs to be evaluated taking into account the nature of the innovation (incremental versus radical), the risk tolerance of the investor, the intensity and nature of competition and the operational flexibility embedded in the project under consideration (in terms of timing and scale). Based on utility-based real options frameworks and dynamic programming models, we derive insights into the impact of these characteristics on the optimal investment strategy.

Relevance

The success of an innovative product or service is susceptible to uncertainty regarding the (technical) success of its development, and its commercial success, which is influenced by competitors and market conditions. Therefore, a firm developing such innovations should explicitly consider these uncertainties and its ability to cope with or react to them, when making investment decisions. Existing research has looked at the impact of risk, competition or operational flexibility, but no frameworks exist that take a holistic view. This is what we aspire to in this research programme, revealing interesting interactions between risk, the competitive environment and embedded flexibility.

Selected publications

De Reyck, B., Degraeve, Z., & Vanderborre, R. (2008). Project options valuation with net present value and decision tree analysis. European Journal of Operational Research, 184 (1), 341-355. doi:10.1016/j.ejor.2006.07.047 [link]
Crama, P., De Reyck, B., Degraeve, Z., & Chong, W. (2007). Research and development project valuation and licensing negotiations at Phytopharm plc. INTERFACES, 37 (5), 472-487. doi:10.1287/inte.1060.0255 [link]
Chronopoulos, M., De Reyck, B., & SIDDIQUI, A. (2011). Optimal Investment under Operational Flexibility, Risk Aversion, and Uncertainty. European Journal of Operational Research, 213 (1), 221-237. doi:10.1016/j.ejor.2011.03.007 [link]
Chronopoulos, M., De Reyck, B., & Siddiqui, A. S. (2013). The Value of Capacity Sizing under Risk Aversion and Operational Flexibility. IEEE Transactions on Engineering Management, 60 (2), 272-288. doi:10.1109/TEM.2012.2211363 [link]
Chronopoulos, M., De Reyck, B., & Siddiqui, A. S. (2014). Duopolistic Competition under Risk Aversion and Uncertainty. European Journal of Operational Research, 236 (2), 643-656. doi:10.1016/j.ejor.2014.01.018 [link]
Kettunen, J., Grushka-Cockayne, Y., Degraeve, Z., & De Reyck, B. (2015). New product development flexibility in a competitive environment. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 244 (3), 892-904. doi:10.1016/j.ejor.2015.02.016 [link]

Link to the publication’s UCL Discovery page

Last updated Sunday, 7 June 2015

Author

Research groups

Operations and Technology

Research areas

Management science; Operations management

Research topics

Applied stochastic modelling; Decision analysis; Management of innovation; New product development