期刊名称：Journal of the Association for Information Systems
印刷版ISSN：1536-9323
出版年度：2008
卷号：9
期号：7
页码：18
出版社：Association for Information Systems
摘要：This paper re-conceptualizes ¡°information system success¡± as a formative, multidimensional index. Such a validated and widely accepted index would facilitate cumulative research on the impacts of IS, while at the same time provide a benchmark for organizations to track their IS performance. The proposed IS-Impact measurement model represents the stream of net benefits from an Information System (IS), to date and anticipated, as perceived by all key user groups. Model measures are formulated to be robust, economical, and simple, yielding results that are comparable across diverse systems and contexts, and from multiple user perspectives. The model includes four dimensions in two halves. The ¡°impact¡± half measures benefits to date, or Individual- and Organizational Impact; the ¡°quality¡± half uses System Quality and Information Quality as proxies for probable future impacts. Study findings evidence the necessity, additivity, and completeness of these four dimensions. The validation study involved three separate surveys, including exploratory and confirmatory phases preceded by an identification survey. Content analysis of 485 qualitative impacts cited by 137 respondents from across 27 Australian Government Agencies that implemented SAP Financials in the late 90s, identified salient dimensions and measures. The resultant a-priori model (¡°pool¡± of 37 measures) was operationalized in the subsequent specification survey, yielding 310 responses across the same 27 agencies. The confirmation survey, employing 27 validated measures from the specification survey, was next conducted in a large university that had implemented ORACLE Financials. Confirmatory analysis of the 153 responses provides further strong evidence of model validity.
关键词：IS-Impact; Formative Construct Validation; Nomological Net; Information System Success; Enterprise System; Measurement Model; Questionnaire Survey; Longitudinal Research; Analytic Theory; Measurement Index
