Construct Measurement in Information Systems Research: An Illustration in Strategic Systems

Construct Measurement in Information Systems Research: An Illustration in Strategic Systems This study seeks to highlight construct measurement issues in information systems (IS) research. It describes the normative process of construct measurement and identifies the difficult problems involved in measurement and some ways in which these difficulties may be overcome. An illustrative construct‐operationalization study in the area of strategic systems outlines how the normative guidelines may be applied to IS. Some specific recommendations for IS include developing a preliminary model of the construct even if there is little previous measurement research, devoting greater attention to predictive validity because a lack of theories in IS precludes the examination of nomological validity, verifying the assumptions underlying the computation of an overall index, and examining the measurement properties of the index. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Decision Sciences Wiley

Construct Measurement in Information Systems Research: An Illustration in Strategic Systems

Decision Sciences, Volume 22 (3) – Jul 1, 1991

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Publisher
Wiley
Copyright
Copyright © 1991 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0011-7315
eISSN
1540-5915
DOI
10.1111/j.1540-5915.1991.tb01274.x
Publisher site
See Article on Publisher Site

Abstract

This study seeks to highlight construct measurement issues in information systems (IS) research. It describes the normative process of construct measurement and identifies the difficult problems involved in measurement and some ways in which these difficulties may be overcome. An illustrative construct‐operationalization study in the area of strategic systems outlines how the normative guidelines may be applied to IS. Some specific recommendations for IS include developing a preliminary model of the construct even if there is little previous measurement research, devoting greater attention to predictive validity because a lack of theories in IS precludes the examination of nomological validity, verifying the assumptions underlying the computation of an overall index, and examining the measurement properties of the index.

Journal

Decision SciencesWiley

Published: Jul 1, 1991

References

  • An experimental study of the value of information
    Epstein, Epstein; King, King
  • Some cautions on the measurement of user information satisfaction
    Galletta, Galletta; Lederer, Lederer
  • The measurement of user information satisfaction
    Ives, Ives; Olson, Olson; Baroudi, Baroudi
  • Assessing the value of information
    King, King; Epstein, Epstein
  • An empirical investigation of the dimensionality of the concept of information
    Zmud, Zmud

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