Re-conceptualizing information system success : the IS-Impact Measurement Model
Gable, Guy G., Sedera, Darshana, & Chan, Taizan (2008) Re-conceptualizing information system success : the IS-Impact Measurement Model. Journal of the Association for Information Systems, 9(7), pp. 377-408.
This paper re-conceptualizes 'information system success' as a formative, multidimensional index. A validated and widely accepted such index would facilitate cumulative research on the impacts of IS, while at the same time providing 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 4 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 90's, 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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Journal Article|
|Keywords:||IS, Impact, Formative Construct Validation, Nomological Net, Information System Success, Enterprise System, Measurement Model, Questionnaire Survey, Longitudinal Research, Analytic Theory, Measurement Index|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems Management (080609)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2008 Association for Information Systems|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher. Use for profit is not allowed.|
|Deposited On:||15 Jul 2008 00:00|
|Last Modified:||29 Feb 2012 13:45|
Repository Staff Only: item control page