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ASSESSING INFORMATION SYSTEM VALUE: AN EXPERIMENTAL STUDY

ASSESSING INFORMATION SYSTEM VALUE: AN EXPERIMENTAL STUDY Linear models of information system value that are a function of information attributes are empirically studied by having managers in two firms make assessments of the importance of attributes, the level of satisfaction produced by various levels of each attribute, and the overall value of total systems. The results verify that such models may be quite useful in information system design. It is also shown that ordinally ranked attributes work as well as the interval‐scaled attributes in the linear model. Since ordinal measures are easier to obtain, this suggests that “linear ordinal” models may be the most practical method of quantifying information systems value. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Decision Sciences Wiley

ASSESSING INFORMATION SYSTEM VALUE: AN EXPERIMENTAL STUDY

Decision Sciences , Volume 14 (1) – Jan 1, 1983

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References (49)

Publisher
Wiley
Copyright
Copyright © 1983 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0011-7315
eISSN
1540-5915
DOI
10.1111/j.1540-5915.1983.tb00167.x
Publisher site
See Article on Publisher Site

Abstract

Linear models of information system value that are a function of information attributes are empirically studied by having managers in two firms make assessments of the importance of attributes, the level of satisfaction produced by various levels of each attribute, and the overall value of total systems. The results verify that such models may be quite useful in information system design. It is also shown that ordinally ranked attributes work as well as the interval‐scaled attributes in the linear model. Since ordinal measures are easier to obtain, this suggests that “linear ordinal” models may be the most practical method of quantifying information systems value.

Journal

Decision SciencesWiley

Published: Jan 1, 1983

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