Open Access Peer-reviewed Research Article

Identifying and Statistically Analyzing the Causes and Impact of Implementation Delays in Construction Projects on Various Criteria and Providing Reduction Solutions for Future Research

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Submitted   May 4, 2025
Published   Jul 10, 2025
Issue    Vol 1 No 1 (2025)
DOI   10.25082/SCR.2025.01.001

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Safieh Javadinejad corresponding author
ÉTS University, Montreal, Quebec, Canada
Rebwar Dara
Department of Earth Sciences and Petroleum, College of Science, Knowledge University, Erbil, Iraq
Stefan Krause
Water Resource, University of Birmingham, Birmingham, UK
Forough Jafary
Water Resource, University of Birmingham, Birmingham, UK
Rehaneh Tavakoli
Islamic Azad university, Esfahan, Iran

Abstract

Nowadays, significant efforts are made by stakeholders to ensure project success. Despite these efforts, due to ongoing diversity and changes, projects are still completed with delays, and it appears that preventing delays in projects has become an unavoidable challenge. This study focuses on identifying and statistically analyzing the causes and impacts of executive delays in civil engineering projects on various criteria, as well as proposing mitigation strategies for future research. The statistical population of this research includes contractors of the Maskan Mehr housing projects in Fooladshahr, Isfahan Province. A descriptive, survey-based, and applied research method was adopted. The sample size was randomly selected, and a census sampling method was used by distributing questionnaires to all members of the population. The received responses constituted the sample size, with 30 responses collected in this study. The findings were analyzed using the Friedman test in SPSS software and ranked by importance. Additionally, Cronbach's alpha coefficient was used to assess data reliability. According to the respondents' ranking of factors by importance, the parameter "side issues" (e.g., serious unpredictable complications such as seasonal rainfall) had the highest priority, while ``customs clearance problems" had the least impact. The findings reveal a positive and significant relationship between the research variables. Data reliability was estimated using Cronbach's alpha coefficient (0.807), indicating acceptable reliability.

Keywords
executive delays, project challenges, importance ranking, civil engineering project management, construction management, delay mitigation strategies

Article Details

How to Cite
Javadinejad, S., Dara, R., Krause, S., Jafary, F., Tavakoli, R., & Godarzi, D. (2025). Identifying and Statistically Analyzing the Causes and Impact of Implementation Delays in Construction Projects on Various Criteria and Providing Reduction Solutions for Future Research. Sustainable Construction and Risks, 1(1), 1-15. https://doi.org/10.25082/SCR.2025.01.001
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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