Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,252

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Identifying Software Project Risks: An International Delphi Study

Schmidt, Roy, Lyytinen, Kalle, Keil, Mark, Cule, Paul·2001·Journal of Management Information Systems

Abstract

Advocates of software risk management claim that by identifying and analyzing threats to success (i.e., risks) action can be taken to reduce the chance of failure of a project. The first step in the risk management process is to identify the risk itself, so that appropriate countermeasures can be taken. One problem in this task, however, is that no validated lists are available to help the project manager understand the nature and types of risks typically faced in a software project. This paper represents a first step toward alleviating this problem by developing an authoritative list of common risk factors. We deploy a rigorous data collection method called a "ranking-type" Delphi survey to produce a rank-order list of risk factors. This data collection method is designed to elicit and organize opinions of a panel of experts through iterative, controlled feedback. Three simultaneous surveys were conducted in three different settings: Hong Kong, Finland, and the United States. This was done to broaden our view of the types of risks, rather than relying on the view of a single culture-an aspect that has been ignored in past risk management research. In forming the three panels, we recruited experienced project managers in each country. The paper presents the obtained risk factor list, compares it with other published risk factor lists for completeness and variation, and analyzes common features and differences in risk factor rankings in the three countries. We conclude by discussing implications of our findings for both research and improving risk management practice.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/07421222.2001.11045662

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 26 references

Cited by

See all 1,252

Metadata

Authors
Schmidt, R., Lyytinen, K., Keil, M., & Cule, P.
Venue
Journal of Management Information Systems
Published
2001-03
Volume
17
Issue
4
Pages
5-36
ISSN
  • 0742-1222 (ISSN-L)
  • 1557-928X
OpenAlex
W2102044943
Cited by
1,252
References
26
FWCI
64.03
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Identifying Software Project Risks: An International Delphi Study. https://app.cochat.ai/papers/10.1080/07421222.2001.11045662
The paper
Schmidt, R., Lyytinen, K., Keil, M., & Cule, P. (2001). Identifying Software Project Risks: An International Delphi Study. Journal of Management Information Systems. https://doi.org/10.1080/07421222.2001.11045662

Data sources

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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.