Article

Maritime Business Review

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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 to what performance measures should be taken to ensure the shipping companies’ financial soundness under dynamic
environments. Research limitations/implications – The model and its associated variables can be expanded to
include more factors for an in-depth analysis in future when the detailed information at firm level becomes available. Practical implications – The results of this study can be implemented to oil tanker shipping firms as a prediction tool for bankruptcy rate.

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Ketersediaan

Informasi Detail

Judul Seri

Application of Bayesian networks in analysing tanker shipping bankruptcy risks

No. Panggil

ATC PO GRA a

Penerbit

USA : Emerald Insight., 2017

Deskripsi Fisik

23 halaman

Bahasa

English

ISBN/ISSN

-

Klasifikasi

ATC

Tipe Isi

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Tipe Media

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Tipe Pembawa

online resource

Edisi

Maritime Business Review

Subjek

Port Management
Port Security Management
Port Marketing

Info Detail Spesifik

23 halaman

Pernyataan Tanggungjawab

Grace W.Y. Wang

Versi lain/terkait

Lampiran Berkas

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