A real options based decision support tool for R&D investment: Application to CO2 recycling technology

Peter Deeney, Mark Cummins, Katharina Heintz and Mary T. Pryce

European Journal of Operational Research, 2021, vol. 289, issue 2, 696-711

Abstract: We propose a practice relevant real options based decision support tool to aid in the practical evaluation of R&D investments in technology. Using a Poisson process to simulate the discrete progress typical of advancements in R&D, we take explicit account of the technical risk of the technology development, while market risk exposure and the effect of learning-by-doing through operating the technology is also explicitly modelled. We present a compound real option design, where a European real option structure is used to model the fixed length term typical of early phase research, which is exercisable into an American real option structure to model a subsequent phase R&D. In this latter phase, a successful outcome is acted upon immediately to operationalise the technology. We propose a simulation approach, which models R&D progress in a stylised logistic function or ’S-shape’ form, capturing the typically slow rate of R&D progress at the start of the early phase, through to more rapid improvement as the R&D advances, which then slows again as the limitations of the R&D are approached. We propose a business appropriate and workable economic meaning to this progress in the R&D process. We demonstrate the decision support tool with an application to evaluating the R&D investment potential in CO2 recycling technology, where an energy commodity is produced.

Keywords: Decision analysis; OR in research and development; Real options; Compound option structure; CO2 recycling technology (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221720306263
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:289:y:2021:i:2:p:696-711

DOI: 10.1016/j.ejor.2020.07.015

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().