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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

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Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Reforming overhead cost estimation in Nepal's public construction: A data-driven framework

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  • Reforming overhead cost estimation in Nepal's public construction: A data-driven framework

Suman Raj Poudel 1, *, Dinesh Neupane 2 and Manash Osti 3

1 Master of Engineering (Planning and Operation of Energy System), Department of Mechanical Engineering, Kathmandu University, Nepal.

2 Master of Science in Construction Management, Nepal Engineering College, Pokhara University, Nepal.

3 Department of Environmental Science and Engineering, Kathmandu University, Nepal

Research Article

International Journal of Science and Research Archive, 2025, 16(01), 1667-1692

Article DOI: 10.30574/ijsra.2025.16.1.2206

DOI url: https://doi.org/10.30574/ijsra.2025.16.1.2206

Received on 14 June 2025; revised on 21 July 2025; accepted on 24 July 2025

Overhead cost estimation remains a critical challenge in public construction management, particularly in developing economies like Nepal, where rigid, standardized percentage allocations often fail to reflect actual project needs and local contextual complexities. This empirical study rigorously evaluates Nepal's mandated 15% overhead standard through a comprehensive mixed-methods analysis of six completed public construction projects within the Special Economic Zone (SEZ) in Bara District. Utilizing stakeholder surveys (n=42), semi-structured interviews (n=15), and detailed financial audit analyses, findings reveal a stark and statistically significant discrepancy: actual project-level overhead costs averaged merely 2.76% (ranging from 0.88% to 4.48%), presenting a difference of 12.24 percentage points from the mandated 15% standard (t (5) =18.95, p<0.001, Cohen's d=12.7). Multiple regression analysis (R²=0.847) identified project complexity (β=0.68, p=0.021), site accessibility (β=-0.45, p=0.034), and project duration (β=-0.23, p=0.067) as the most significant predictors of actual overhead costs. Stakeholder insights further indicated notable awareness disparities, with clients (80%) being more informed than contractors (55%), often leading to contractors underestimating their bids due to competitive pressures. To address these systemic inefficiencies and enhance transparency, the study proposes a novel Contextual Overhead Estimation Framework (COEF). This framework integrates project-specific risk factors, local contextual variables (including those beyond direct site costs, like nuanced head office allocations), and stakeholder information to offer a data-driven, tailored alternative to the current fixed-percentage model. The findings hold substantial implications for revising Nepal's Public Procurement Monitoring Office (PPMO) guidelines and demonstrate the broader applicability of COEF for improving cost estimation accuracy and fostering sustainable practices in public construction across similar developing contexts.

Overhead Cost Estimation; Contextual Framework; Public Procurement; Nepal; COEF; Construction Management; SEZ; Mixed-Methods; Empirical Study

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-2206.pdf

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Suman Raj Poudel, Dinesh Neupane and Manash Osti. Reforming overhead cost estimation in Nepal's public construction: A data-driven framework. International Journal of Science and Research Archive, 2025, 16(01), 1667-1692. Article DOI: https://doi.org/10.30574/ijsra.2025.16.1.2206.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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