Abstract
The measurement of systems success is important to any research on information systems. To provide a perspective on the various success measures used in past research, DeLone and McLean reviewed over 100 empirical studies. They developed a success model which they used to classify all success measures into six categories. The model also depicted interdependent relationships among the success measures. Although the model is a significant contribution, it needs further development and validation before it can serve as a basis for the selection of success measures. This paper describes a meta-analysis that validated the success variables and their relationships.
| Original language | English |
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| Pages | 918-920 |
| Number of pages | 3 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) - Orlando, FL, USA Duration: Nov 24 1996 → Nov 26 1996 |
Conference
| Conference | Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) |
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| City | Orlando, FL, USA |
| Period | 11/24/96 → 11/26/96 |