Author List: Meador, C. Lawrence; Guyote, Martin J.; Keen, Peter G.W.;
MIS Quarterly, 1984, Volume 8, Issue 2, Page 117-129.
Traditional project management and design methods used for data processing and MIS applications are ill-suited to decision support systems (DSS). The authors argue that effective management of DSS development requires: a) An explicit plan for the full development life cycle; b) Careful assignment of responsibility for DSS development; c) Appropriate user involvement and direction; and d) On-going user needs assessment and problem diagnosis. A 13-stage tactical plan for DSS development, called the DSS development life cycle, is described. Results are presented from an in-depth survey of users of 34 different DSS to show that the tasks performed most ineffectively in DSS development are planning, assessment of user needs, and system evaluation. Results from the survey are also presented that show the factors responsible for DSS project approval, and the factors responsible for DSS success.
Keywords: architectural features; Decision support systems; defining success; development life cycle; user need assessment
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List of Topics

#113 0.212 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#90 0.209 development life cycle prototyping new stages routines stage design experiences traditional time sdlc suggested strategies rapid effort integrated needs techniques
#253 0.151 user involvement development users satisfaction systems relationship specific results successful process attitude participative implementation effective application authors suggested user's contingency
#78 0.107 planning strategic process management plan operational implementation critical used tactical effectiveness number identified activities years effective developed issues empirical plans
#231 0.077 information management data processing systems corporate article communications organization control distributed department capacity departments major user hardware cost applications expansion
#198 0.072 factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants
#157 0.053 evaluation effectiveness assessment evaluating paper objectives terms process assessing criteria evaluations methodology provides impact literature potential important evaluated identifying multiple