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H. Lucas (1974)
AN EMPIRICAL STUDY OF A FRAMEWORK FOR INFORMATION SYSTEMSDecision Sciences, 5
Richard Hespos, P. Strassmann (1965)
Stochastic Decision Trees for the Analysis of Investment DecisionsManagement Science, 11
William King (1974)
METHODOLOGICAL ANALYSIS THROUGH SYSTEMS SIMULATIONDecision Sciences, 5
Theodore Mock (1973)
A longitudinal study of some information structure alternativesData Base, 5
Driver Driver, Mock Mock (July, 1975)
Human Information Processing, Decision Style Theory and Accounting Information System DesignThe Accounting Review, 50
M. Vasarhelyi (1971)
Simulation: A tool for design and pre-implementation testing of large scale software systems
N. Chervany, G. Dickson (1974)
An Experimental Evaluation of Information Overload in a Production EnvironmentManagement Science, 20
Theodore Mock (1969)
Comparative Values of Information StructuresJournal of Accounting Research, 7
Feltham Feltham, Demski Demski (October, 1970)
The Use of Models in Information EvaluationThe Accounting Review, 45
Theodore Mock, Teviah Estrin, M. Vasarhelyi (1972)
Learning Patterns, Decision Approach, and Value of InformationJournal of Accounting Research, 10
A. Philippakis (1972)
A SIMULATION STUDY OF DECENTRALIZED DECISION MAKINGDecision Sciences, 3
Feltham Feltham (October, 1968)
The Value of InformationThe Accounting Review, 43
Mock Mock (July, 1973)
The Value of Budget InformationThe Accounting Review, 48
Mock Mock (October, 1971)
Concepts of Information Value and AccountingThe Accounting Review, 46
ABSTRACT Beginning with the information economics framework and a multi‐period decision model (15), this paper considers the use of computer simulation methods within an information system choice environment. Actual decision behavior is replaced by optimal decision rules, and simulation is used to evaluate the effects of parameter changes in the environmental model. Simulation is shown to be functional (1) in estimating the value of alternative information structures within a fifteen period decision model and (2) in providing sensitivity and statistical data which would be useful both for different decision maker utility functions and for a variety of information system design questions.
Decision Sciences – Wiley
Published: Apr 1, 1976
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