https://www.syncsci.com/journal/SCR <p><strong><em data-start="226" data-end="262">Sustainable Construction and Risks </em></strong>(SCR, ISSN: Pending) is an open access, peer-reviewed, international journal dedicated to advancing multidisciplinary research at the nexus of sustainable construction practices and risk management. The journal seeks to publish high-impact, original contributions that address the complex challenges of designing, constructing, and maintaining resilient infrastructures in an era of increasing environmental and socio-economic uncertainties.</p> <p>The scope of the journal includes, but is not limited to, the following key areas:<br>• Sustainable Construction and Green Engineering<br>• Risk Quantification and Management<br>• Computational Modeling and Data Analytics<br>• Structural Integrity and Resilient Infrastructure<br>• Policy, Standards, and Risk Governance&nbsp;<br>• &nbsp;Interdisciplinary and Frontier Research<br>• etc.</p> <p>By emphasizing rigorous scientific methods, advanced computational techniques, and evidence-based policy analysis, <em data-start="2950" data-end="2986">Sustainable Construction and Risks</em> aims to stimulate scholarly discourse and foster technological innovations that underpin the development of safe, resilient, and sustainable built environments.</p> en-US <p>Authors contributing to&nbsp;<em> Sustainable Construction and Risks</em>&nbsp;agree to publish their articles under the&nbsp;<a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons Attribution-Noncommercial 4.0 International License</a>, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear.</p> snowy.wang@syncsci.com (Snowy Wang) editor@syncsci.com (Alan Tan) Thu, 10 Jul 2025 15:12:43 +0800 OJS 3.1.1.0 http://blogs.law.harvard.edu/tech/rss 60 https://www.syncsci.com/journal/SCR/article/view/SCR.2025.01.001 <p>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" (<em>e.g.</em>, 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.</p> Safieh Javadinejad, Rebwar Dara, Stefan Krause, Forough Jafary, Mohsen Nasseri, Rehaneh Tavakoli, Dariush Godarzi Copyright (c) 2025 Safieh Javadinejad, Rebwar Dara, Stefan Krause, Forough Jafary, Mohsen Nasseri, Rehaneh Tavakoli, Dariush Godarzi https://creativecommons.org/licenses/by-nc/4.0/ https://www.syncsci.com/journal/SCR/article/view/SCR.2025.01.001 Thu, 10 Jul 2025 15:12:20 +0800