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The Influence of Organizational External Factors on Construction Risk Management among Nigerian Construction Companies
Open accessAbstract
BACKGROUND: Substantial empirical research has shown conflicting results regarding the influence of organizational external factors on construction risk management, suggesting the necessity to introduce a moderator into the study. The present research confirmed whether rules and regulations matter on the relationships between organizational external factors and construction risk management. METHODS: Based on discouragement and organizational control theory, this research examined the effects of organizational external factors and rules and regulations on construction risk management among 238 employees operating in construction companies in Abuja and Lagos, Nigeria. A personally administered questionnaire was used to acquire the data. The data were analyzed using partial least squares structural equation modeling. RESULTS: A significant positive relationship between organizational external factors and construction risk management was asserted. This study also found a significant positive relationship between rules and regulations and construction risk management. As anticipated, rules and regulations were found to moderate the relationship between organizational external factors and construction risk management, with a significant positive result. Similarly, a significant interaction effect was also found between rules and regulations and organizational external factors. Implications of the research from a Nigerian point of view have also been discussed. CONCLUSION: Political, economy, and technology factors helped the construction companies to reduce the chance of risk occurrence during the construction activities. Rules and regulations also helped to lessen the rate of accidents involving construction workers as well as the duration of the projects. Similarly, the influence of the organizational external factors with rules and regulations on construction risk management has proven that most of the construction companies that implement the aforementioned factors have the chance to deliver their projects within the stipulated time, cost, and qualities, which can be used as a yardstick to measure a good project.
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“One of the limitations of SEM is that it does not assume the uncertainty and stochastic behavior of events [34]; therefore, it has limited applications for complex projects under high uncertainty [1].”
From Cost Overrun Risk Assessment and Prediction in Construction Projects: A Bayesian Network Classifier Approach (2022) · cites this paper as [34]
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Metadata
- Authors
- Adeleke, A. Q., Bahaudin, A. Y., Kamaruddeen, A. M., Bamgbade, J. A., Salimon, M. G., Khan, M. W. A., & Sorooshian, S.
- Affiliations
- Universiti Malaysia Pahang Al-Sultan Abdullah (MY)
- Universiti Utara Malaysia (MY)
- University of Technology Sarawak (MY)
- Swinburne University of Technology (AU)
- Corresponding author
- Adeleke, A.Q.
- ORCID
- Venue
- Safety and Health at Work
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 9
- Issue
- 1
- Pages
- 115-124
- ISSN
- 2093-7911 (ISSN-L)
- PMC
- PMC6111111
- OpenAlex
- W2620647389
- Cited by
- 107
- References
- 65
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 12 · 2023: 19 · 2022: 14 · 2021: 16 · 2020: 17 · 2019: 15 · 2018: 6
- FWCI
- 9.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Safety and Health at Work (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) (acceptedVersion)
- UMP Institutional Repository (Universiti Malaysia Pahang) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by-nc-nd)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion, cc-by-nc-nd)
- Swinburne figshare (Swinburne University of Technology)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Construction Project Management and Performance
- Social Sciences › Safety Research › Occupational Health and Safety Research
- Physical Sciences › Engineering › Civil and Structural Engineering › Construction Engineering and Safety
- Keywords
- construction risk management, rules and regulations, organizational control theory, political factors, economic factors, technological factors, construction companies, project duration, Nigeria
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 ›
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