Decision Sciences · 1997 · 845 citations · 47 references
Customer SatisfactionPerformance Measurement SystemsIc SuccessOrganisational Structure EvaluationInformation Technology ManagementManagementInformation System PlanningStructural Equation ModelingOrganizational SystemsBusiness Information SystemsUser AcceptanceInformation ManagementStrategic ManagementMarketingInformation CenterOrganizational CommunicationTechnology Acceptance ModelBusinessBusiness StrategyMarketing InsightsInstrument Validation
Structural equation modeling has become a standard tool for instrument validation and model testing across marketing, organizational behavior, and MIS, and with the rise of end‑user computing, measuring information center success has become increasingly critical. This article demonstrates how SEM can be applied to validate and test a model of information center success. The authors reexamine an existing information center success model using SEM to assess its validity. The study shows that a strong theoretical foundation is essential for a valid IC success model, warning managers against relying on poorly grounded models.
ABSTRACT Structural equation modeling is a technique that has been widely used for instrument validation and model testing in research in marketing and organizational behavior. The technique has also been introduced to MIS researchers and used in several studies recently reported in the literature. This article offers an example of how the technique can be used for instrument validation and model testing. The illustration is made through a reexamination of a model for evaluating information center (IC) success. With the growth of end‐user computing, the success of an IC is more important than ever. Obtaining a valid model for measuring IC success is thus crucial to organizations with ICs. The results of this study highlight the importance of a strong theoretical base in developing such a valid model, and management should be cautious when using these models to assess the performance of their ICs.
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