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    Proactive prevention model to manage construction time delays in developing countries
    (Dicle University, 2022) Chenena, Ibrahim Salwan Majeed; Kazar, Gökhan
    Due to the complex structure of construction activities, schedule overruns are inevitable in the construction industry. Particularly, construction projects play a key role in the economic conditions of developing countries. Although several studies have mainly focused on the time delay factors in the construction projects, a study does not exist on providing reliable and applicable solutions based on the eye of expert view. Thus, this study attempts not only to identify the major delay factors but also to introduce a proactive prevention model including long-term strategies and immediate practical solutions to be implemented in the construction industry of developing countries. For this purpose, a survey was conducted with 140 experts in the construction sector of a developing country, Iraq. Importance Index (Imp. I) based on the frequency and severity value of each time delay attribute and Relative Importance Index (RII) for suggestions and proactive steps were calculated according to survey results. After identifying major causal factors, strategies, and practical implementations, we developed a proactive prevention model to be utilized in the construction industry. The proposed model includes different practical implementations for ongoing construction projects such as developing an Artificial Intelligence (AI)-based predictive model, using Time Series Analysis (TSA) approach, urgent practical applications, and long term strategies for construction companies to reduce time overruns in construction projects. To realize this kind of proactive prevention model in the construction industry, a data collection and sharing system including all related information recorded in diverse construction projects is highly recommended.