Value Analysis: Justifying Decision Support Systems
MIS QuarterlyPublished 1 March 1981
Peter G. W. Keen
Citations311
SJR quartileQ1
SJR score4.49
SNIP2.65
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Managers face a dilemma in assessing DSS proposals. The issue of qualitative benefits is central, but they must find some way of deciding if the cost is justified. A general weakness of the cost-benefit approach is that it requires knowledge, accuracy, and confidence about issues which for innovations are unknown, ill-defined, and uncertain. The benefit of a DSS is the incentive for going ahead. The complex calculations of cost-benefit analysis are replaced in value analysis by rather simple questions about its usefulness.
Keywords
Decision Sciences
Research PolicyThe dominant role of users in the scientific instrument innovation process
992 Citations1976Eric von Hippel
Research PolicyThe dominant role of users in the scientific instrument innovation process
890 Citations1993Eric von Hippel
MIS QuarterlyA Framework for the Development of Decision Support Systems
785 Citations1980Ralph H. Sprague
ScienceInnovation in Industry and the Diffusion of Technology
628 Citations1974James M. Utterback
A simple three-stage analysis of flows to, from, and within the firm was used to facilitate comparisons, and a central problem for further research on innovation will be to devise an operational model to account for interfirm and interindustry differences.
AIS Electronic Library (AISeL) (Association for Information Systems)A framework for the development of decision support systems
592 Citations1993Jr. Ralph H. Sprague
California Management ReviewThe Role of Champion in Product Innovation
381 Citations1974Alok Chakrabarti
Operations ResearchBRANDAID: A Marketing-Mix Model, Part 1: Structure
211 Citations1975John D. C. Little
BRANDAID is a flexible, on-line model for assembling these elements to describe the market and evaluate strategies that motivates the model and presents its mathematics.
ACM SIGMIS Database the DATABASE for Advances in Information SystemsAn approach for designing decision support systems
90 Citations1978Eric D. Carlson
Studies of specific decisions and general studies of decision making have indicated the potential benefits of computer support for decision making: displaced cost and added value.
DSpace@MIT (Massachusetts Institute of Technology)A process approach to management science implementation.
60 Citations1975Michael J. Ginzberg
ACM SIGMIS Database the DATABASE for Advances in Information SystemsGPLAN
19 Citations1977William D. Haseman
The GPLAN system, an operational decision support system that allows a decision maker to ask ad hoc questions in a nonprocedural English-like query language, is presented with a discussion of both the design and implementation details.
ACM SIGMIS Database the DATABASE for Advances in Information SystemsA DSS for airline management
18 Citations1977Richard L. Klaas
The acronym AAIMS stands for An Analytical Information Management System, a system supporting the planning, finance, marketing and operating functions at American, and an ever-growing collection of data on virtually all U.S. scheduled airlines.
ACM SIGMIS Database the DATABASE for Advances in Information SystemsIRIS
13 Citations1977Paul D. Berger, Franz Edelman
This paper describes one such system, in regular daily use in a highly diverse industrial enterprise as a transaction driven data system, but is designed for the noncomputeroriented manager in a problem-solving situation as the intended ultimate end user.
