Title: An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining
Language: English
Authors: Thöni, Andreas 
Taudes, Alfred 
Tjoa, A Min 
Category: Research Article
Issue Date: 2018
Journal: Information Systems and e-Business Management
ISSN: 1617-9846
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.
Keywords: Social sustainability; Supply chain risk management; Child labor; Bayesian network risk model; Text mining
DOI: 10.1007/s10257-018-0368-0
Library ID: AC15321016
URN: urn:nbn:at:at-ubtuw:3-5006
Organisation: E194 - Institut für Information Systems Engineering 
Publication Type: Article
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