Toward Development of the End User Computing Construct in a University Setting*

Toward Development of the End User Computing Construct in a University Setting* The authors identify and define the end user computing (EUC) construct and operationalize the construct through development of a valid, reliable measure called the EUC activities scale. This scale is designed to distinguish specific, discrete computer activities performed on the job. The research analyzes the validity and reliability of the instrument based on data obtained from 776 university employees who participated in the initial, exploratory application. Exploratory factor analysis of the scale resulted in five factors. In order of increasing complexity of job‐related computer activities, these factors are: beginning EUC activities, intermediate EUC activities, advanced EUC activities, EUC facilitation activities, and EUC infrastructure activities. The factor analysis, reliabilities, and known‐groups analysis provide support for the construct validity of the instrument when used in a university setting. Suggestions are provided for further use of the scale in business environments to increase generalizability, refine the instrument, and help establish a coherent theoretical basis for further research in EUC. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Decision Sciences Wiley

Toward Development of the End User Computing Construct in a University Setting*

Decision Sciences, Volume 24 (6) – Nov 1, 1993

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Publisher
Wiley
Copyright
Copyright © 1993 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0011-7315
eISSN
1540-5915
DOI
10.1111/j.1540-5915.1993.tb00510.x
Publisher site
See Article on Publisher Site

Abstract

The authors identify and define the end user computing (EUC) construct and operationalize the construct through development of a valid, reliable measure called the EUC activities scale. This scale is designed to distinguish specific, discrete computer activities performed on the job. The research analyzes the validity and reliability of the instrument based on data obtained from 776 university employees who participated in the initial, exploratory application. Exploratory factor analysis of the scale resulted in five factors. In order of increasing complexity of job‐related computer activities, these factors are: beginning EUC activities, intermediate EUC activities, advanced EUC activities, EUC facilitation activities, and EUC infrastructure activities. The factor analysis, reliabilities, and known‐groups analysis provide support for the construct validity of the instrument when used in a university setting. Suggestions are provided for further use of the scale in business environments to increase generalizability, refine the instrument, and help establish a coherent theoretical basis for further research in EUC.

Journal

Decision SciencesWiley

Published: Nov 1, 1993

References

  • Cognitive processes mediating behavioral change
    Bandura, A.; Adams, N. E.; Beyer, J. C.
  • An investigation of the information center from the user's perspective
    Brancheau, J.; Vogel, D.; Wetherbe, J. C.
  • Foundations of behavioral research
    Kerlinger, F.
  • A status report on the activities of the CODASYL end user computing facilities committee (EUCF)
    Lefkovitz, H. C.
  • Attitudes towards advanced manufacturing technology: The role of AMT experience, skill level, and job involvement
    Martin, R.

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