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Cited by 968

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Key performance indicators for measuring construction success

Chan, Albert P.C., Chan, Ada P.L.·2004·Benchmarking: An International Journal

Abstract

The construction industry is dynamic in nature. The concept of project success has remained ambiguously defined in the construction industry. Project success is almost the ultimate goal for every project. However, it means different things to different people. While some writers consider time, cost and quality as predominant criteria, others suggest that success is something more complex. The aim of this paper is to develop a framework for measuring success of construction projects. In this paper, a set of key performance indicators (KPIs), measured both objectively and subjectively are developed through a comprehensive literature review. The validity of the proposed KPIs is also tested by three case studies. Then, the limitations of the suggested KPIs are discussed. With the development of KPIs, a benchmark for measuring the performance of a construction project can be set. It also provides significant insights into developing a general and comprehensive base for further research.

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Metadata

Authors
Chan, A. P. C., & Chan, A. P. L.
Venue
Benchmarking: An International Journal
Publisher
Emerald
Published
2004-04-01
Volume
11
Issue
2
Pages
203-221
ISSN
1463-5771 (ISSN-L)
OpenAlex
W2124956521
Cited by
968
References
1
FWCI
13.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Key performance indicators for measuring construction success. https://app.cochat.ai/papers/10.1108/14635770410532624
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Chan, A. P. C., & Chan, A. P. L. (2004). Key performance indicators for measuring construction success. Benchmarking: An International Journal. https://doi.org/10.1108/14635770410532624

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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).

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