Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 8 - Volume 8
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Information technology has become one of the most important infrastructure components of virtually any organization. Although information technology has a crucial impact on the success of organizations it is reported that IT projects have rather high failure rates. Therefore, it is vitally important for organizations to improve the performance and success rates of IT projects. However, the reasons for failures are versatile and an ongoing very active fields of research especially in information systems and management. An established approach to evaluate IT projects is to define relevant so called critical success factors and analyze IT projects according to these criteria. This analysis is often of a qualitative nature. The objective of our paper is to enrich the analysis of critical success factors by alternative methods in particular rough set theory. We motivate the usage of rough sets to further improve the analysis of critical success factors with the goal to better manage IT projects and increase their success rate.