Author List: Bardhan, Indranil R.; BAGCHI, SUGATO; Sougstad, Ryan;
Journal of Management Information Systems, 2004, Volume 21, Issue 2, Page 33-60.
Although the use of real options for valuation of information technology (IT) investments has been documented, little research has been conducted to examine its relevance for valuing and prioritizing a portfolio of projects. Complexities of IT projects along with the effect of project interdependencies raise several challenges in applying real options for prioritization of IT investments. We examine a large U.S.-based energy utility firm in a deregulated environment that is considering investment in a portfolio of 31 projects to provide a range of Internet-enabled energy services to customers. Using real data on expected project benefits and costs for different competitive scenarios, we develop a nested options model that extends prior research by incorporating the impact of project interdependencies to calculate the option value of all projects. Our nested options model provides a better understanding of project interdependencies on valuation and prioritization decisions, and provides insights into the business value of IT infrastructure projects that provide the managerial flexibility to launch future projects. We present a real options portfolio optimization algorithm for dynamic multiperiod portfolio optimization by incorporating the project values based on real options analysis in a portfolio management model with budget constraints.
Keywords: business value; information technology; investment evaluation; net present value; portfolio optimization; real options analysis; sequential investment
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List of Topics

#267 0.448 options real investment option investments model valuation technology value analysis uncertainty portfolio models using context intuitive managerial regret uncertain case
#135 0.126 project projects development management isd results process team developed managers teams software stakeholders successful complex develop contingencies problems greater planning
#97 0.078 set approach algorithm optimal used develop results use simulation experiments algorithms demonstrate proposed optimization present analytical distribution selection number existing
#116 0.065 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#195 0.056 pricing services levels level on-demand different demand capacity discrimination mechanism schemes conditions traffic paper resource expected based constraints solution latency
#285 0.052 effects effect research data studies empirical information literature different interaction analysis implications findings results important set large provide using paper