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A. Thöni, J. King, A. Tjoa:
"Ongoing social sustainability monitoring in supply chains";
Poster: European Conference on Information Systems (ECIS) 2014, Tel Aviv, Israel; 09.06.2014 - 11.06.2014; in: "Proceedings of the European Conference on Information Systems (ECIS) 2014", M. Avital, J. Leimeister, U. Schultze (Hrg.); (2014), ISBN: 978-0-9915567-0-0.

Social sustainability issus such as child labour at a supplier pose significant reputational risk for companies. Therefore, many companies now require that suppliers follow certain standards or codes of conduct. However, in today´s complex supply chains with hundreds of sourcing locations, ongoing monitoring of compliance through audits for every supplier is hardly practical. Consequntly, an information technology system is investigated as a tool to establish ongoing monitoring of suppliers based on available information with regard to the risk that suppliers breach the compliance rules defined. This paper describes work on a system that uses a Bayesian network to integrate evidence from multiple public and private data sources in order to rank suppliers dynamically. A particular focus of future work will be a prototype based on the issu of child labour and the advantages of applying text mining methods.

Supply Chain Risk Management, Social Sustainability, Supplier Ranking, Ongoing Supplier Monitoring