The DOI matches its Crossref record.
Reasons for delays in public projects in Turkey
Abstract
The effects of construction delays are not confined to the construction industry but influence the state of the overall economy of a country. This is particularly so in Turkey where construction investments account for almost half of all investments and where delays have reached significant magnitudes in the 1970–80 decade. A Iurge number of public agencies that are construction owners and a large number of contractors that undertake construction work for public agencies in Turkey were surveyed to identify and rank in an order of importance the causes for such delays. The results indicate that shortages of some resources; public agencies' and contractors' fincincial dfiiculties; organizational deficiencies and delays in design work, frequent chunge orders and considerable extra work are the most important sources of delay. While some of the causes are dependent on national economic policies, others may be overcome by measures to be taken by public agencies and contractors.
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.
Integrity signals
Registry
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.
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
Cited by
Analysing factors affecting delays in Indian construction projects
Doloi, H., Sawhney, A., Iyer, K. C., & Rentala, S. (2012) · International Journal of Project Management · doi:10.1016/j.ijproman.2011.10.004 · Cited by 745
Criteria of project success: an exploratory re-examination
Lim, C. S., & Mohamed, M. Z. (1999) · International Journal of Project Management · doi:10.1016/s0263-7863(98)00040-4 · Cited by 731
Machine learning algorithms for construction projects delay risk prediction
Gondia, A., Siam, A., El-Dakhakhni, W., & Nassar, A. H. (2020) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001736 · Cited by 327
Metadata
- Authors
- Arditi, D., Akan, G. T., & Gurdamar, S.
- Venue
- Construction Management and Economics
- Publisher
- Informa UK Limited
- Published
- 1985-09
- Volume
- 3
- Issue
- 2
- Pages
- 171-181
- ISSN
- 0144-6193 (ISSN-L)
- 1466-433X
- OpenAlex
- W2043020664
- Cited by
- 198
- References
- 0
- FWCI
- 0.64
- 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: Reasons for delays in public projects in Turkey. https://app.cochat.ai/papers/10.1080/01446198500000013
- The paper
- Arditi, D., Akan, G. T., & Gurdamar, S. (1985). Reasons for delays in public projects in Turkey. Construction Management and Economics. https://doi.org/10.1080/01446198500000013
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.
