Author List: Naumann, Justus D.; Jenkins, A. Milton;
MIS Quarterly, 1982, Volume 6, Issue 3, Page 29-44.
Leading MIS executives and academicians have identified systems development as one of the most critical issues of the 1980s. Their concerns include providing user accessibility to stored information, reducing development cost and delay, increasing developer productivity, and increasing MIS's impact on organizational growth, productivity, and profitability. Among the number of proposed alternative approaches to traditional systems development, prototyping is mentioned frequently. Prototyping is routine in hardware development but not software. The authors review published references to prototyping and related concepts and synthesize a process model for information systems. In this model, resource requirements are enumerated and discussed. The article includes an analysis of the economics of prototyping, and a brief discussion of several examples. Prototyping for information systems development addresses today's critical issues; it will no doubt raise a new set of research questions for tomorrow.
Keywords: economics; methodology; productivity; systems analysis; systems design
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List of Topics

#90 0.174 development life cycle prototyping new stages routines stage design experiences traditional time sdlc suggested strategies rapid effort integrated needs techniques
#240 0.171 systems information management development presented function article discussed model personnel general organization described presents finally computer-based role examined functional components
#150 0.141 issues management systems information key managers executives senior corporate important importance survey critical corporations multinational managing interviews study results concerns
#169 0.104 research journals journal information systems articles academic published business mis faculty discipline analysis publication management tenure authors publications disciplines years
#294 0.098 development systems methodology methodologies information framework approach approaches paper analysis use presented applied assumptions based proposed described examines basis proposes
#148 0.075 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains