Quotation Thöni, Andreas, Taudes, Alfred, Tjoa, AMin. 2018. An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining. Information Systems and e-Business Management, 16, (2), 443-476.


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Abstract

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.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Information Systems and e-Business Management
Citation Index SSCI
WU-Journal-Rating new STRAT-C
Language English
Title An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining
Volume 16
Number 2
Year 2018
Page from 443
Page to 476
Reviewed? Y
URL https://link.springer.com/article/10.1007/s10257-018-0368-0
DOI https://doi.org/10.1007/s10257-018-0368-0
Open Access Y

Associations

People
Taudes, Alfred (Details)
External
Thöni, Andreas (TU Wien, Austria)
Tjoa, AMin (TU Wien, Austria)
Organization
Produktionsmanagement (Taudes) (Details)
Research Institute for Supply Chain Management FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1121 Operations research (Details)
1122 Artificial intelligence (Details)
5306 Business data processing (Details)
5310 Manufacturing (Details)
5316 Industrial management (Details)
5333 Business management (Details)
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