Cited by 331ERP Systems Implementation and ImpactInformation Technology Governance and StrategyInformation Systems Theories and Implementation

Managing risks in enterprise systems implementations

Scott, Judy E., Vessey, Iris·2002·Communications of the ACM

Abstract

What determines if a system implementation will be successful?

Integrity signals

Registry

Crossref · 10.1145/505248.505249

Cites

10 of 10 references verified0 citation errors · 0 not checkable

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Authors
Scott, J. E., & Vessey, I.
Affiliations
  • University of Colorado Denver (US)
  • Indiana University (US)
Venue
Communications of the ACM
Published
2002-04
Volume
45
Issue
4
Pages
74-81
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W2068441581
Cited by
331
References
10
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 6 · 2021: 4 · 2020: 8 · 2019: 12 · 2018: 4 · 2017: 10 · 2016: 8 · 2015: 21 · 2014: 14 · 2013: 15 · 2012: 22
FWCI
36.03
Type
journal article
Language
en
Open access
closed
Locations
  • Communications of the ACM (publishedVersion)
  • UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
Keywords
risk management, enterprise systems, system implementation, implementation success, information systems projects

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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.

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