Article ID: | iaor2009165 |
Country: | United States |
Volume: | 35 |
Issue: | 2 |
Start Page Number: | 289 |
End Page Number: | 321 |
Publication Date: | Apr 2005 |
Journal: | Decision Sciences |
Authors: | Rai Arun, Wallace Linda, Kei Mark |
Keywords: | risk, decision theory |
To reduce the high failure rate of software projects, managers need better tools to assess and manage software project risk. In order to create such tools, however, information systems researchers must first develop a better understanding of the dimensions of software project risk and how they can affect project performance. Progress in this area has been hindered by: (1) a lack of validated instruments for measuring software project risk that tap into the dimensions of risk that are seen as important by software project managers, and (2) a lack of theory to explain the linkages between various dimensions of software project risk and project performance. In this study, six dimensions of software project risk were identified and reliable and valid measures were developed for each.