Project Performance Diagnostic: A Framework for Evaluating Construction Performance in Kaduna

Authors
DOI:
https://doi.org/10.61706/sccee12011274
Keywords:
Project Performance, Key Performance Indicators, Critical Success Factors, System Dynamics Diagnostic Model, Construction Projects
Abstract
Construction projects have frequently underperformed relative to their stated objectives. Against this background, this study evaluates the performance of construction projects in Kaduna, Nigeria. Structured questionnaires were used to collect primary data from construction professionals employed by the Kaduna State Ministry of Lands, Works, and Housing. Descriptive analysis showed that the system dynamics diagnostic model for construction project performance incorporates key performance indicators (KPIs), including health and safety, time, quality, and cost, as well as critical success factors (CSFs), including project management factors, procurement factors, project participant-related factors, and project-related factors. Project management practices account for 57.9% of the variance in project performance outcomes (R2 = 0.579), demonstrating a statistically significant relationship (p = 0.000). This strong correlation indicates that adjustments in management practices directly influence overall project outcomes. Furthermore, the highly significant p-value confirms that project variables shape critical management strategies—including dynamics and resource allocation—which ultimately dictate project success. The study therefore concludes that CSFs and KPIs are distinct but complementary constructs that should be appropriately applied within the construction industry to improve project success.
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Published
2026-06-23
Data Availability Statement

All data are available upon request

Issue
Vol. 4 No. 2 (2026): April - June
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Research Article/Original Research
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Copyright (c) 2026 Ifeyinwa Ijeoma Obianyo, Victor Suchet Isaac, Abubakar Dayyabu, Anthony Muoka, Adebisi Bamgbade, Abdulhameed Danjuma Mambo

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How to Cite

Obianyo, I. I., Isaac, V. S., Dayyabu, A., Muoka, A., Bamgbade, A., & Mambo, A. D. (2026). Project Performance Diagnostic: A Framework for Evaluating Construction Performance in Kaduna. Steps For Civil, Constructions and Environmental Engineering, 4(2), 25-34. https://doi.org/10.61706/sccee12011274

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