ArticleHeliyon2024
Modelling the impacts of security on construction delays: A case of Afghanistan.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Construction projects in conflict-affected regions face unique challenges, with security issues often serving as significant impediments to progress. This research investigates the multifaceted relationship between security factors and construction delays in Afghanistan, aiming to fill a critical gap in existing literature by offering a comprehensive analysis of the specific challenges encountered within this context. Employing a quantitative methodology and engaging stakeholders directly involved in construction projects, the study delves into the intricacies of security-related delay factors, identifying key contributors and assessing their impacts on project timelines. Through quantitative data analysis, the research reveals that security-related issues such as the presence of local armed individuals, interference from tribal leaders, and other forms of insecurity pose significant threats to construction projects in Afghanistan. These factors are found to have both high severity and frequency, underscoring their pervasive influence on project outcomes. Furthermore, the study highlights the interconnected nature of delay factors, emphasizing the need for a holistic approach to project management that integrates security considerations into broader risk management frameworks. Stakeholder perspectives play a central role in the research, with insights gathered from clients, consultants, contractors, and other key actors providing valuable insights into the diverse range of concerns within the construction industry. Variations in risk perceptions and priorities among different stakeholder groups underscore the importance of tailored interventions that account for the specific needs and challenges faced by each group. Building on these insights, the research offers recommendations for enhancing project resilience and mitigating the impacts of security-related delays in Afghanistan. Recommendations include the development and implementation of robust security protocols, proactive risk management strategies, and improved coordination with local authorities and security forces. Moreover, the study identifies avenues for further research, including comparative analyses across different regions and longitudinal studies tracking project outcomes over time. By deepening our understanding of the impacts of security on construction delays, this research contributes to the development of evidence-based policies and practices aimed at promoting sustainable development in conflict-affected regions and beyond.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.