Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 285

The DOI matches its Crossref record.

Analysing construction project coalitions: exploring the application of social network analysis

Pryke, Stephen D.·2004·Construction Management and Economics

Abstract

The construction industry is currently in transition as a result of innovations in procurement and project management approaches, in particular, the utilization of supply chain management, and technology or work clusters in the context of partnering relationships between project coalition actors and the client organization. These new strategies require an analytical method that deals with actor interdependence and provides an appropriate level of detail and quantitative data in relation to the non‐linear, complex, iterative and interactive process that construction projects comprise. The construction project is conceptualized as a number information exchange networks, classified according to the principal project functions and supported by performance incentive and contractual relationship networks. The point centrality of the project actors within these various networks provides quantitative data and graphical representation of the governance of construction projects and the changes brought about by innovations in procurement and project management techniques. Social network analysis (SNA) provides an important new quantitative approach in the comparative analysis of procurement and project management of construction projects. SNA enables traditional project coalition management approaches to be compared with those associated with innovative management approaches. Quantitative analysis relates to the appropriateness and effectiveness of both financial incentives and contractual conditions involved in the governance of construction projects.

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 · 10.1080/0144619042000206533

Cites

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

Metadata

Authors
Pryke, S. D.
Venue
Construction Management and Economics
Published
2004-10
Volume
22
Issue
8
Pages
787-797
ISSN
  • 0144-6193 (ISSN-L)
  • 1466-433X
OpenAlex
W2017668305
Cited by
285
References
0
FWCI
4.72
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: Analysing construction project coalitions: exploring the application of social network analysis. https://app.cochat.ai/papers/10.1080/0144619042000206533
The paper
Pryke, S. D. (2004). Analysing construction project coalitions: exploring the application of social network analysis. Construction Management and Economics. https://doi.org/10.1080/0144619042000206533

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.