Drawing both from the IS literature on software project risk management and the contingency research in Organization Theory literature, the present study develops an integrative contingency model of software project risk management. Adopting a profile deviation perspective of fit, the outcome of a software development project (Performance) is hypothesized to be influenced by the fit between the project's risk (Risk Exposure) and how project risk is managed (Risk Management Profile). The research model was tested with longitudinal data obtained from project leaders and key users of 75 software projects. The results support the contingency model proposed and suggest that in order to increase project performance a project's risk management profile needs to vary according to the project's risk exposure. Specifically, high-risk projects were found to call for high information processing capacity approaches in their management. However, the most appropriate management approach was found to depend on the performance criterion used. When meeting project budgets was the performance criterion, successful high-risk projects had high levels of internal integration, as well as high levels of formal planning. When system quality was the performance criterion, successful high-risk projects had high levels of user participation.
Despite the introduction and use of a wide variety of system development methods and tools, software projects are still plagued by time and cost overruns, and unmet user requirements. To avoid these problems, it is frequently recommended that the risk associated with a software project be managed. A task that is critical to the proper management of software development risk is the assessment of the risks facing the project. Based on previous research, this paper proposes a definition and a measure of software development risk. Subsequently, data collected in a survey of 120 projects is used to assess the reliability and validity of the instrument.
Information systems researchers, while helping others build better information systems, have done little in supporting their own information needs. The large amount of knowledge accumulated in IS today has created a situation where the researcher needs some sort of organizing mechanism to map the IS territory and relate its different components. A keyword classification scheme performs such a task through its content descriptors, systematically listed to show their relationships. This paper proposes a keyword classification scheme for IS. The scheme contains over 1,100 keywords and consists of nine top-level categories (reference disciplines, external environment, technological environment, organizational environment, IS management, IS development and operations, IS usage, information systems, and IS education and research), each of which is divided into subcategories.