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http://dx.doi.org/10.6106/KJCEM.2021.22.6.076

A Study on the Development of Construction Dispute Predictive Analytics Model - Based on Decision Tree -  

Jang, Se Rim (Department of Architecture, Sejong University)
Kim, Han Soo (Department of Architecture, Sejong University)
Publication Information
Korean Journal of Construction Engineering and Management / v.22, no.6, 2021 , pp. 76-86 More about this Journal
Abstract
Construction projects have high potentials of claims and disputes due to inherent risks where a variety of stakeholders are involved. Since disputes could cause losses in terms of cost and time, it is a critical issue for contractors to forecast and pro-actively manage disputes in advance in order to secure project efficiency and higher profits. The objective of the study is to develop a decision tree-based predictive analytics model for forecasting dispute types and their probabilities according to construction project conditions. It can be a useful tool to forecast potential disputes and thus provide opportunities for proactive management.
Keywords
Construction Dispute; Construction Claim; Predictive Analytics Model; Predictive Analytics; Decision Tree Model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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