Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain*

Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication... Over the past decade, organizations have made significant investments in enterprise resource planning (ERP) systems. The realization of benefits from these investments depends on supporting effective use of information technology (IT) and satisfying IT users. User satisfaction with information systems is one of the most important determinants of the success of those systems. Drawing upon a sample of 407 end users of ERP systems and working within the framework of confirmatory factor analysis (CFA), this study examines the structure and dimensionality, and reliability and validity of the end‐user computing satisfaction (EUCS) instrument posited by Doll and Torkzadeh (1988). In response to Klenke's (1992) motion to cross‐validate management information system (MIS) instruments and to retest the end user computing satisfaction instrument using new data, this study's results, consistent with previous findings, confirm that the EUCS instrument maintains its psychometric stability when applied to users of enterprise resource planning application software. Implications of these results for practice and research are provided. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Decision Sciences Wiley

Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain*

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Publisher
Wiley
Copyright
Copyright © 2003 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0011-7315
eISSN
1540-5915
DOI
10.1111/j.1540-5414.2003.02428.x
Publisher site
See Article on Publisher Site

Abstract

Over the past decade, organizations have made significant investments in enterprise resource planning (ERP) systems. The realization of benefits from these investments depends on supporting effective use of information technology (IT) and satisfying IT users. User satisfaction with information systems is one of the most important determinants of the success of those systems. Drawing upon a sample of 407 end users of ERP systems and working within the framework of confirmatory factor analysis (CFA), this study examines the structure and dimensionality, and reliability and validity of the end‐user computing satisfaction (EUCS) instrument posited by Doll and Torkzadeh (1988). In response to Klenke's (1992) motion to cross‐validate management information system (MIS) instruments and to retest the end user computing satisfaction instrument using new data, this study's results, consistent with previous findings, confirm that the EUCS instrument maintains its psychometric stability when applied to users of enterprise resource planning application software. Implications of these results for practice and research are provided.

Journal

Decision SciencesWiley

Published: Aug 1, 2003

Keywords: ; ; ; ;

References

  • How to survive ERP
    Appleton, E. L.
  • EQS 5.6 Structural Equations Program Manual
    Bentler, P. M.
  • Information systems success: The quest for the dependent variable
    DeLone, W. H.; McLean, E. R.
  • Directory of Top Computer Executives
  • The measurement of end‐user computing satisfaction
    Doll, W. J.; Torkzadeh, G.
  • Determinants of information center success
    Essex, P. A.; Magal, S. R.; Masteller, D. E.
  • Evaluating structural equation models with unobservable variables and measurement error
    Fornell, C.; Larcker, D. F.
  • Large package software: A neglected technology
    Gable, G.
  • Structural equation modeling: Concepts, issues, and applications
    Hoyle, R. H.
  • End‐user computing effectiveness: A structural equation model
    Igbaria, M.
  • User involvement and MIS success: A review of research
    Ives, B.; Olson, M. H.
  • Packaged software: Selection and implementation policies
    Janson, M. A.; Subramanian, A.
  • Variables affecting information technology end‐user satisfaction: A meta‐analysis of the empirical literature
    Mahmood, M. A.; Burn, J. M.; Gemoets, L. A.; Jacquez, C.
  • Basics of structural equation modeling
    Maruyama, G. M.
  • A validation of the end‐user computing satisfaction instrument in Taiwan
    McHaney, R.; Hightower, R.; Pearson, J.

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