Author List: Byrd, Terry Anthony; Cossick, Kathy L.; Zmud, Robert W.;
MIS Quarterly, 1992, Volume 16, Issue 1, Page 117-138.
Requirements analysis (RA) involves end users and systems analysts interacting in an effort to recognize and specify the data and information needed to develop an information system. In the design of expert systems, a similar process of eliciting information, in this case human knowledge, has been studied under the banner of knowledge acquisition (KA). When examined closely, many entities and processes involved in RA and KA are almost identical. However, researchers in each area are seemingly unaware of the developments in the other area. In order to facilitate a merged awareness of both research streams, this article compares representative RA and KA techniques, which are grouped, according to elicitation mode, on three dimensions: communication obstacles, a technique's locus of control, and the nature of the understanding gained from using the technique. This comparison demonstrates that these two research streams have many things in common and that researchers in one area can benefit from developments in the other area. Additionally, this analysis leads to several suggested research areas: (1) rigorous examinations of these techniques as they are used to overcome communication obstacles and enrich understanding; (2) investigations into the seeming match between certain elicitation types and problem domain categories; (3) examinations into synergetic effects of elicitation techniques; (4) development of more techniques for eliciting information requirements to serve emerging needs; and (5) comparisons of the relative advantage of generalized versus specialized elicitation techniques.
Keywords: communication tools; expert systems design; Information requirements determination; information systems design; knowledge acquisition; system development techniques and tools
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#272 0.286 requirements analysts systems elicitation techniques analysis process technique understanding determination analyst acquisition interview development used semantic results knowledge structured effectiveness
#222 0.172 research researchers framework future information systems important present agenda identify areas provide understanding contributions using literature studies paper potential review
#170 0.076 information processing needs based lead make exchange situation examined ownership analytical improved situations changes informational examine developed receive perceptions facilitates
#188 0.069 processes interaction new interactions temporal structure research emergent process theory address temporally core discussion focuses area underlying deep structures way
#72 0.068 skills professionals skill job analysts managers study results need survey differences jobs different significantly relative required motivation programmers technical factors
#129 0.065 expert systems knowledge knowledge-based human intelligent experts paper problem acquisition base used expertise intelligence domain inductive rules machine artificial task
#270 0.063 design designs science principles research designers supporting forms provide designing improving address case little space criteria methods increasing synthesis designer