Author List: Benaroch, Michel; Kauffman, Robert J.;
MIS Quarterly, 2000, Volume 24, Issue 2, Page 197-225.
The application of real options analysis to information technology investment evaluation problems recently has been proposed in the IS literature (Chalasani 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 applying real options analysis in the context of a case study involving the deployment of point-of-sale (POS) debit services by the Yankee 24 shared electronic banking network of New England. In the course of so doing, the paper also attempts to operationalize real options analysis concepts by examining claimed strengths of this analysis approach and balancing them against methodological difficulties that this approach is believed to involve. The research employs a version of the Black-Scholes option pricing model that is adjusted for risk-averse investors, showing how it is possible to obtain reliable values for Yankee 24's 'investment timing option,' even in the absence of a market to price it. To gather evidence for the existence of the timing option, basic scenario assumptions, and the parameters of the adjusted Black-Scholes model, a structured interview format was developed. The results obtained using real options analysis enabled the network's senior management 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 information technology investments would have produced the wrong recommendations.
Keywords: Black-Scholes model; investment decision making under uncertainty; electronic banking networks; POS debit systems; project investments; IT investment evaluation; option pricing models; real options
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#267 0.380 options real investment option investments model valuation technology value analysis uncertainty portfolio models using context intuitive managerial regret uncertain case
#44 0.106 approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using proposed method present provides various
#293 0.103 values culture relationship paper proposes mixed responsiveness revealed specific considers deployment results fragmentation simultaneously challenges explain attribute building indicated obtain
#60 0.068 analysis techniques structured categories protocol used evolution support methods protocols verbal improve object-oriented difficulties analyses category benchmark comparison provided recognition
#17 0.061 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#176 0.058 e-commerce value returns initiatives market study announcements stock event abnormal companies significant growth positive using methodology investments period time initiative
#112 0.054 services service network effects optimal online pricing strategies model provider provide externalities providing base providers fee complementary demand offer derive