1Department of Civil Engineering, University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines
American Journal of Civil Engineering and Architecture.
2026,
Vol. 14 No. 3, 69-111
DOI: 10.12691/ajcea-14-3-2
Copyright © 2026 Science and Education PublishingCite this paper: Mary Kaye Paquibot, Jonathan B. Calibara. Measuring Maturity and Ranking Barriers to Implementing Benchmarking of Construction Project Quality Management in Cagayan de Oro City.
American Journal of Civil Engineering and Architecture. 2026; 14(3):69-111. doi: 10.12691/ajcea-14-3-2.
Correspondence to: Mary Kaye Paquibot, Department of Civil Engineering, University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines. Email:
mkayepaquibot@gmail.comAbstract
Benchmarking is a recognized mechanism for continuous improvement in construction project quality management. This study evaluates construction quality management maturity and benchmarking readiness in Cagayan de Oro City, Philippines. It measures maturity using the Project Management Maturity Model, assesses stakeholder perception through Key Performance Indicators, and ranks implementation barriers. A descriptive quantitative design was employed using a structured questionnaire administered to 60 construction professionals involved in government-supported projects. The instrument showed strong validity and reliability, with S-CVI values of 0.833–1.000, Cronbach’s alpha values of 0.796–0.960, KMO values of 0.888–0.905, and Bartlett’s Test results of p < 0.001. Maturity was analyzed using the Maturity Index and Weighted Index, while stakeholder perception was evaluated using the Relative Importance Index. Results showed generally high but uneven maturity, led by Cost Management (Mi = 3.975; Wi = 0.117) and Quality Management (Mi = 3.872; Wi = 0.114). Stakeholders perceived benchmarking positively, with RII values ranging from 0.793 to 0.883. FAHP ranked inadequate quality management training as the top barrier (GW = 0.220), followed by lack of quality team commitment (GW = 0.181) and lack of technical expertise (GW = 0.118). The study recommends institutionalizing benchmarking, strengthening competencies, improving digital capabilities, and reinforcing leadership commitment.
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