Access the full text.
Sign up today, get DeepDyve free for 14 days.
R. Cyert, J. March (1964)
A Behavioral Theory of the Firm
Anthony Hendrickson, Kristy Glorfeld, T. Cronan (1994)
On the Repeated Test-Retest Reliability of the End-User Computing Satisfaction Instrument: A Comment*Decision Sciences, 25
B. Ives, M. Olson (1984)
User Involvement and MIS Success: A Review of ResearchManagement Science, 30
D. Galletta, A. Lederer (1989)
Some Cautions on the Measurement of User Information SatisfactionDecision Sciences, 20
G. Torkzadeh, W. Doll (1991)
Test‐Retest Reliability of the End‐User Computing Satisfaction InstrumentDecision Sciences, 22
Prashant Palvia (1996)
A model and instrument for measuring small business user satisfaction with information technologyInf. Manag., 31
A. Lederer, W. Stubler, V. Sethi, John Ryan (1987)
The Implementation of Office AutomationInterfaces, 17
Wynne Chin, P. Newsted (1995)
Research Report - The Importance of Specification in Causal Modeling: The Case of End-User Computing SatisfactionInf. Syst. Res., 6
L. Pitt, R. Watson, C. Kavan (1995)
Service Quality: A Measure of Information System EffectivenessMIS Q., 19
Christopher Carr (2002)
A Psychometric Evaluation of the Expectations, Perceptions, and Difference-Scores Generated by the IS-Adapted SERVQUAL InstrumentDecis. Sci., 33
Perry Trunick (1999)
ERP -- PROMISE OR PIPE DREAM?TRANSPORTATION & DISTRIBUTION
(1993)
Service quality: A critical success factor for IS organizations. Information Strategy: The Executive's
Marie-Claude Boudreau, D. Gefen, D. Straub (2001)
Validation in Information Systems Research: A State-of-the-Art AssessmentMIS Q., 25
S. West, J. Finch, P. Curran (1995)
Structural equation models with non-normal variables: Problems and remedies
Suprateek Sarker, Allen Lee (2000)
Using a case study to test the role of three key social enablers in ERP implementationInf. Manag., 40
M. Smith (1996)
Structural Equation Modeling: Concepts, Issues, and ApplicationsThe Statistician, 45
T. Davenport (1998)
Putting the enterprise into the enterprise system.Harvard business review, 76 4
B. Ives, M. Olson, J. Baroudi (1983)
The measurement of user information satisfactionMicroeconomic Theory eJournal
Judy Scott, I. Vessey (2000)
Implementing Enterprise Resource Planning Systems: The Role of Learning from FailureInformation Systems Frontiers, 2
M. Mahmood, J. Burn, L. Gemoets, Carmen Jacquez (2000)
Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literatureInt. J. Hum. Comput. Stud., 52
José Esteves, J. Pastor (2001)
Enterprise Resource Planning Systems Research: An Annotated BibliographyCommun. Assoc. Inf. Syst., 7
M. Johansson, T. Timpka (1996)
Quality functions for requirements engineering in system development methods.Medical informatics = Medecine et informatique, 21 2
E. Carmines, C. McIver (1981)
Analyzing models with unobserved variables: analysis of covariance structures
R. Bagozzi, Youjae Yi, L. Phillips (1991)
Assessing Construct Validity in Organizational ResearchAdministrative Science Quarterly, 36
K. Mardia (1970)
Measures of multivariate skewness and kurtosis with applicationsBiometrika, 57
S. Jarvenpaa, G. Dickson, G. DeSanctis (1985)
ICIS Paper: Methodological Issues in Experimental IS Research: Experiences and Recommendations
W. Doll, G. Torkzadeh (1988)
The Measurement of End-User Computing SatisfactionMIS Q., 12
(1995)
EQS 5.6 Structural Equations Program Manual. Encino, CA: Multivariate Software
J. Bailey, S. Pearson (1983)
Development of a Tool for Measuring and Analyzing Computer User SatisfactionManagement Science, 29
W. Hasselbring (2000)
Information system integrationCommun. ACM, 43
Lei-da Chen, Khalid Soliman, E. Mao, M. Frolick (2000)
Measuring user satisfaction with data warehouses: an exploratory studyInf. Manag., 37
H. Lucas, E. Walton, M. Ginzberg (1987)
Implementing Packaged SoftwareInformation Technology & Systems
R. McHaney, T. Cronan (1998)
Computer Simulation Success: On the Use of the End-User Computing Satisfaction Instrument: A CommentDecision Sciences, 29
Peter Seddon (1997)
A Respecification and Extension of the DeLone and McLean Model of IS SuccessInf. Syst. Res., 8
M. Janson, A. Subramanian (1996)
Packaged Software: Selection And Implementation PoliciesInfor, 34
M. Gelderman (1998)
The relation between user satisfaction, usage of information systems and performanceInf. Manag., 34
B. Byrne (1998)
Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming
Rajesh Mirani, William King (1994)
Impacts of End-User and Information Center Characteristics on End-User Computing SupportJ. Manag. Inf. Syst., 11
A. Parasuraman, V. Zeithaml, L. Berry (1988)
SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality.Journal of Retailing, 64
(1998)
Large package software: A neglected technology
(2002)
AMR research report evaluates the costs, challenges, and added benefits of ERP upgrades
N. Au, E. Ngai, T. Cheng (2002)
A critical review of end-user information system satisfaction research and a new research frameworkOmega-international Journal of Management Science, 30
M. Igbaria (1990)
End-user computing effectiveness: A structural equation modelOmega-international Journal of Management Science, 18
D. Finkelstein (2005)
A Beginner's Guide to Structural Equation ModelingTechnometrics, 47
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
S. Simon, V. Grover, J. Teng, Kathleen Whitcomb (1996)
The Relationship of Information System Training Methods and Cognitive Ability to End-User Satisfaction, Comprehension, and Skill Transfer: A Longitudinal Field StudyInf. Syst. Res., 7
C. Fornell, D. Larcker (1981)
Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research, 18
R. McHaney, Ross Hightower, Doug White (1999)
EUCS test-retest reliability in representational model decision support systemsInf. Manag., 36
S. Simon (2000)
The Relationship of Learning Style and Training Method to End-User Computer Satisfaction and Computer Use: A Structural Equation Model., 18
Dennis Adams, R. Nelson, P. Todd (1992)
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A ReplicationMIS Q., 16
L. Hesselink (2000)
Ultra-high-density data storage: introductionCommunications of The ACM, 43
(2002)
The steady stream of ERP investments
Conghua Li (1999)
Erp Packages: What's Next?Inf. Syst. Manag., 16
William Kettinger, Choong-C. Lee (1994)
Perceived Service Quality and User Satisfaction with the Information Services FunctionDecision Sciences, 25
E. Callaway (1999)
Enterprise resource planning : integrating applications and business processes across the enterprise
Mawdudur Rahman, A. Abdul-Gader (1993)
Knowledge workers' use of support software in Saudi ArabiaInf. Manag., 25
W. Doll, Weidong Xia, G. Torkzadeh (1994)
A Confirmatory Factor Analysis of the End-User Computing Satisfaction InstrumentMIS Q., 18
Karin Klenke (1992)
Construct Measurement in Management Information systems: A Review and Critique of User Satisfaction
P. Essex, Simha Magal, Douglas Masteller (1998)
Determinants of Information Center SuccessJ. Manag. Inf. Syst., 15
(1997)
How to survive ERP. Datamation
R. McHaney, Ross Hightower, J. Pearson (2002)
A validation of the end-user computing satisfaction instrument in TaiwanInf. Manag., 39
P. Berthon, L. Pitt, M. Ewing, Christopher Carr (2002)
Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and GenerationInf. Syst. Res., 13
Arun Rai, Sandra Lang, Robert Welker (2002)
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical AnalysisInf. Syst. Res., 13
G. Premkumar, William King (1994)
Organizational Characteristics and Information Systems Planning: An Empirical StudyInf. Syst. Res., 5
(2000)
Success file
(1999)
ERP initiation: A historic perspective
J. Simon (1985)
Basic research methods in social science
D. Straub (1989)
Validating Instruments in MIS ResearchMIS Q., 13
W. Doll, Weidong Xia (1997)
Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument: A ReplicationJournal of Organizational and End User Computing, 9
J. Armstrong, Terry Overton (1977)
Estimating Nonresponse Bias in Mail SurveysJournal of Marketing Research, 14
Yoris Au (2001)
Design Science I: The Role of Design Science in Electronic Commerce ResearchCommun. Assoc. Inf. Syst., 7
R. Bagozzi, Youjae Yi (1988)
On the evaluation of structural equation modelsJournal of the Academy of Marketing Science, 16
Anthony Hendrickson, Patti Massey, T. Cronan (1993)
On the Test-Retest Reliability of Perceived Usefulness and Perceived Ease of Use ScalesManagement Information Systems Quarterly, 17
Maris Martinsons, P. Chong (1999)
The Influence of Human Factors and Specialist Involvement on Information Systems SuccessHuman Relations, 52
C. Downing (1999)
System usage behavior as a proxy for user satisfaction: an empirical investigationInf. Manag., 35
James Jiang, G. Klein, S. Crampton (2000)
A Note on SERVQUAL Reliability and Validity in Information System Service Quality MeasurementDecis. Sci., 31
C. Soh, S. Kien, Joanne Tay-Yap (2000)
Enterprise resource planning: cultural fits and misfits: is ERP a universal solution?Commun. ACM, 43
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.
Decision Sciences – Wiley
Published: Aug 1, 2003
Keywords: ; ; ; ;
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.