Fuzzy Approach for Monitoring Projects Success in the IT/IS Industry

There are many uncertainties that can influence the success of Information Technology (IT) and Information Systems (IS) projects. These are characterized to be highly complex and risky, among other issues. These features explain the high rate of failures in this kind of projects. So, if practitioners want to prevent undesired outcomes in their IT/IS projects, they have to continuously manage the risks existing in them. In this way, practitioners should monitor risks impacts on IT/IS projects success. However, current methods used for it, have several limitations that can be overcome by employing artificial intelligence techniques. Based on the fuzzy theory, this chapter proposes the use of fuzzy approaches to model risks effects on IT/IS projects success measures. Its applicability is presented through an illustrative case. The findings highlight that the method proposed give project managers insights into the causes of failure or delay of their IT/IS projects, in order to develop effective strategies. DOI: 10.4018/978-1-4666-0170-3.ch007

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