The application of real options analysis to information technology investme
nt evaluation problems recently has been proposed in the IS literature (Cha
lasani et al. 1997; Dos Santos 1991, Kambil et al. 1993; Kumar 1996; Taudes
1998). The research reported on in this paper illustrates the value of app
lying real options analysis in the context of a case study involving the de
ployment of point-of-sale (POS) debit services by the Yankee 24 shared elec
tronic banking network of New England. in the course of so doing, the paper
also attempts to operationalize real options analysis concepts by examinin
g claimed strengths of this analysis approach and balancing them against me
thodological difficulties that this approach is believed to involve. The re
search employs a version of the Black-Scholes option pricing model that is
adjusted for risk-averse investors, showing how it is possible to obtain re
liable values for Yankee 24's "investment timing option, "even in the absen
ce of a market to price it. To gather evidence for the existence of the tim
ing option, basic scenario assumptions, and the parameters of the adjusted
Black-Scholes model a structured interview format was developed. The result
s obtained using real options analysis enabled the network's senior managem
ent to identify conditions for which entry into the POS debit market would
be profitable. These results also indicated that, in the absence of formal
evaluation of the timing option, traditional approaches for evaluating info
rmation technology investments would have produced the wrong recommendation
s.