Selecting an End User Programming Language for DSS Development

C. Lawrence Meador · Richard A. Mezger

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Decision Support System Applications Big Data and Business Intelligence Spreadsheets and End-User Computing

Abstract

Today managers and policy makers are confronted with an overwhelming range of choices of computer software to develop decision support systems (DSS). The authors argue that DSS language evaluation and selection should be a multi-step process involving most, if not all, of the following: End User Needs Assessment and Problem DiagnosisCritical Success Factor IdentificationFeature Analysis and Capability ReviewDemonstration Prototype DevelopmentExternal User SurveysBenchmark and Simulation TestsProgrammer Productivity and End User Orientation Analysis The objectives of each of these activities are described, as well as specific procedures for accomplishing them. In addition, the authors discuss the usefulness of a multi-disciplinary task force to accomplish the DSS language evaluation and selection process.

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1979Chief executives define their own data needs.1978Decision support systems : an organizational perspective 1981Value Analysis: Justifying Decision Support Systems 1980Adaptive design for decision support systems 1984Setting Priorities for DSS Development 1985An information systems manifesto 1975BRANDAID: A Marketing-Mix Model, Part 2: Implementation, Calibration, and Case Study

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1988An Investigation of the Effects of Age, Size, and Hardware Option on the Critical Success Factors Applicable to Information Centers 1991An evaluation and selection methodology for expert system shells 1986Decision Support Planning and Analysis: The Problems of Getting Large-Scale DSS Started

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