An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining

@article{Thni2018AnIS,
  title={An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining},
  author={Andreas Th{\"o}ni and Alfred Taudes and A Min Tjoa},
  journal={Information Systems and e-Business Management},
  year={2018},
  volume={16},
  pages={443-476}
}
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… 
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