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Cited by 410

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

An Integrative Contingency Model of Software Project Risk Management

Barki, Henri, Rivard, Suzanne, Talbot, Jean·2001·Journal of Management Information Systems

Abstract

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.

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Crossref · 10.1080/07421222.2001.11045666

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Metadata

Authors
Barki, H., Rivard, S., & Talbot, J.
Venue
Journal of Management Information Systems
Published
2001-03
Volume
17
Issue
4
Pages
37-69
ISSN
  • 0742-1222 (ISSN-L)
  • 1557-928X
OpenAlex
W2160677296
Cited by
410
References
3
FWCI
18.59
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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