Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis

Arun Rai (), Sandra S. Lang () and Robert B. Welker ()
Additional contact information
Arun Rai: Electronic Commerce Institute, Robinson College of Business, Georgia State University, Atlanta, Georgia 30303
Sandra S. Lang: McKendree College, Division of Business, Lebanon, Illinois 62254
Robert B. Welker: School of Accountancy, Southern Illinois University at Carbondale, Carbondale, Illinois 62901

Information Systems Research, 2002, vol. 13, issue 1, 50-69

Abstract: The purpose of the present study is to empirically and theoretically assess DeLone and McLean's (1992) and Seddon's (1997) models of information systems (IS) success in a quasi-voluntary IS use context. Structural modeling techniques were applied to data collected by questionnaire from 274 system users of an integrated student information system at a midwestern university. The Seddon structural model and the DeLone and McLean structural model each contained five variables (system quality, information quality, perceived usefulness, user satisfaction, and IS use). Both models exhibit reasonable fit with the collected data. The empirical findings are assessed in the broader theoretical context of the IS success literature, including the Technology Acceptance Model and the Theory of Planned Behavior. Our results support DeLone and McLean's focus on integrated IS success models and their observation that IS success models need to be carefully specified in a given context. The Seddon model conceptually elaborates and clarifies aspects of the DeLone and McLean model, thereby effectively integrating core theoretical relationships espoused in the IS success literature. Our study also supports Seddon's three construct categories (system and information quality, general perceptual measures aboutnetbene fts about IS use, and IS behavior), as defining IS success and its impact on nature of IS use.

Keywords: Information Systems Success; Information Systems Usefulness; Information Systems Use; User Satisfaction; system Quality; Information Quality (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (95)

Downloads: (external link)
http://dx.doi.org/10.1287/isre.13.1.50.96 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:13:y:2002:i:1:p:50-69

Access Statistics for this article

More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().