21 October 2026
Asst. Prof. Dr. Kadir Öz’s article reaches Top Q1 journal ranking!
An article on construction management and architecture by Asst. Prof. Dr. Kadir Öz, Head of the Department of Interior Architecture at the Faculty of Fine Arts, Istanbul Gelişim University (İGU), has been published in the *International Journal of Construction Management*. This journal is ranked in the top 1% (Q1) globally, placing in the 98th percentile within the Scopus "Architecture" category. The research presents a data-driven decision-support model designed to proactively identify risks during the pre-permitting stages of architectural projects.
Asst. Prof. Dr. Kadir Öz, Head of the Department of Interior Architecture at the Faculty of Fine Arts, Istanbul Gelişim University (IGU), has added another achievement to his international academic record. His research paper, titled "A DSM-based decision-support framework for proactive risk identification in pre-licensing project processes"—authored solely by him—has been published in the *International Journal of Construction Management*, one of the most highly respected academic journals in the field.
Success in a Journal Ranked 3rd Globally in the Field of Architecture
The published study also highlights a significant achievement in terms of the journal’s international academic impact metrics: the journal ranks 3rd out of 210 publications worldwide in the Scopus "Architecture" category, placing it in the 98th percentile and within the top-tier (Q1) impact bracket. Furthermore, its metrics—a CiteScore of 12.7, an SNIP of 1.943, and an SJR of 0.945—underscore its substantial influence in the field.
The Developed Decision-Support Model and Key Details of the Study
Focusing on preventing inefficiencies and delays during the pre-licensing design phases within the architecture, engineering, and construction (AEC) sector, the research... The Design Structure Matrix (DSM) has been integrated with weighted scoring models:
Proactive Risk Identification: Unlike traditional models, this approach accounts for the iterative and revision-prone nature of pre-permit design, enabling the detection of potential delays and rework—stemming from early-stage decisions—before they actually occur.
Critical Process Analysis: In an assessment covering 26 primary work steps, the study identified design development, interdisciplinary coordination, and the preparation of construction documentation as the most high-risk, critical nodes.
BIM and Digital Twin Compatibility: The developed model provides a data infrastructure that can be directly integrated into Building Information Modeling (BIM) Execution Plans (BEP) and digital twin environments.
High Robustness: Sensitivity analyses and tests conducted across five distinct scenarios have demonstrated that the model operates with a classification robustness of 80.8% and a ranking correlation of 97.7% under various management conditions.
We congratulate Asst. Prof. Dr. Kadir Öz, Head of the Department of Interior Architecture, for this outstanding international academic achievement and his significant contribution to the scientific visibility of our university; we wish him continued success.