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The Subcontracting has become a prevalent strategy in the execution of infrastructure projects, offering potential benefits in terms of cost efficiency, flexibility, and access to specialized skills. However, its impact on overall project performance remains a subject of critical analysis. This study aims to investigate the effect of subcontracting on key performance indicators—namely cost, time, quality, and risk—within infrastructure projects, using descriptive statistical methods. Data was collected through structured surveys and project records from a sample of ongoing and completed infrastructure projects. The analysis focuses on identifying trends, patterns, and relationships between subcontracting practices and project outcomes. Findings reveal that while subcontracting can contribute positively to quality and schedule adherence when managed effectively, it also introduces risks related to coordination, communication, and cost overruns when oversight is weak. The results underscore the importance of robust subcontractor management and strategic planning. This study provides valuable insights for project managers, policymakers, and construction firms aiming to optimize subcontracting practices for improved infrastructure delivery.
Keywords:
Construction management, Sub contractors, Main contractors, Subcontracting, Infrastructure.
Cite Article:
"To Analysis Effect of Subcontracting in Infrastructure Projects with Descriptive statistics, Inferential statistics", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d61-d74, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505310.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator