Understanding software project risk: a cluster analysis
Information & ManagementPublished 20 March 2004
Linda Wallace, Mark Keil, Arun Rai
Citations397
SJR quartileQ1
SJR score2.92
SNIP2.74
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TL;DR
An examination of risk dimensions across the levels revealed that even low risk projects have a high level of complexity risk, and for high risk projects, the risks associated with requirements, planning and control, and the organization become more obvious.
Abstract
Understanding software project risk can help in reducing the incidence of failure. Building on prior work, software project risk was conceptualized along six dimensions. A questionnaire was built and 507 software project managers were surveyed. A cluster analysis was then performed to identify aspects of low, medium, and high risk projects. An examination of risk dimensions across the levels revealed that even low risk projects have a high level of complexity risk. For high risk projects, the risks associated with requirements, planning and control, and the organization become more obvious. The influence of project scope, sourcing practices, and strategic orientation on project risk dimensions was also examined. Results suggested that project scope affects all dimensions of risk, whereas sourcing practices and strategic orientation had a more limited impact. A conceptual model of project risk and performance was presented.
Keywords
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