Go to page
 

Bibliographic Metadata

Title
An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining
AuthorThöni, Andreas ; Taudes, Alfred ; Tjoa, A Min
Published in
Information Systems and e-Business Management, 2018, Vol. 16, Issue 2, page 443-476
PublishedSpringer Nature, 2018
LanguageEnglish
Document typeJournal Article
Keywords (EN)Social sustainability / Supply chain risk management / Child labor / Bayesian network risk model / Text mining
ISSN1617-9846
URNurn:nbn:at:at-ubtuw:3-5006 Persistent Identifier (URN)
DOI10.1007/s10257-018-0368-0 
Restriction-Information
 The work is publicly available
Files
An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining [1.83 mb]
Links
Reference
Classification
Abstract (English)

This paper presents an expert system to monitor social sustainability compliance in supply chains. The system allows to continuously rank suppliers based on their risk of breaching sustainability standards on child labor. It uses a Bayesian network to determine the breach likelihood for each supplier location based on the integration of statistical data, audit results and public reports of child labor incidents. Publicly available statistics on the frequency of child labor in different regions and industries are used as contextual prior. The impact of audit results on the breach likelihood is calibrated based on expert input. Child labor incident observations are included automatically from publicly available news sources using text mining algorithms. The impact of an observation on the breach likelihood is determined by its relevance, credibility and frequency. Extensive tests reveal that the expert system correctly replicates the decisions of domain experts in the fields supply chain management, sustainability management, and risk management.

Stats
The PDF-Document has been downloaded 2 times.
License
CC-BY-License (4.0)Creative Commons Attribution 4.0 International License