volume 2, issue 3, P177-198 2017
DOI: 10.1108/mabr-12-2016-0032
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Grace W.Y. Wang, Zhisen Yang, Di Zhang, Anqiang Huang, Zaili Yang

Abstract: Purpose-This study aims to develop an assessment methodology using a Bayesian network (BN) to predict the failure probability of oil tanker shipping firms. Design/methodology/approach-This paper proposes a bankruptcy prediction model by applying the hybrid of logistic regression and Bayesian probabilistic networks. Findings-The proposed model shows its potential of contributing to a powerful tool to predict financial bankruptcy of shipping operators, and provides important insights to the maritime community as…

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