Author List: Meador, C. Lawrence; Guyote, Martin J.; Rosenfeld, William L.;
MIS Quarterly, 1986, Volume 10, Issue 2, Page 159-177.
Developing a large-scale institutional DSS designed to serve multiple managers in different business functions can be a more challenging task than that of developing the much more common one-user, one-function DSS that have evolved over the past few years. In this article we review some of the evidence suggesting that extra effort and rigor in the early planning and analysis stage of large-scale DSS development is worthwhile. We attempt to identify those characteristics of DSS that require different treatment than those available in traditional structured techniques. We then present, in the form of a case study, a hybrid technique which we refer to as DSA (Decision Support Analysis) which has been used effectively in developing large-scale institutional DSS. Finally, we discuss some of the positive and negative experiences that have emerged from using DSA.
Keywords: architecture; Decision support system; development methodology; end user computing; user needs assessment
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#113 0.186 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#180 0.148 multiple elements process environments complex integrated interdependencies design different developing integration order approach dialogue framework capabilities settings building focus distinct
#137 0.130 phase study analysis business early large types phases support provided development practice effectively genres associated different sensemaking including form technologies
#60 0.099 analysis techniques structured categories protocol used evolution support methods protocols verbal improve object-oriented difficulties analyses category benchmark comparison provided recognition
#119 0.096 implementation systems article describes management successful approach lessons design learned technical staff used effort developed organization experiences large managing discusses
#134 0.051 users end use professionals user organizations applications needs packages findings perform specialists technical computing direct future selection ability help software