An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining
Year of publication: |
May 2018
|
---|---|
Authors: | Thöni, Andreas ; Taudes, Alfred ; Tjoa, A Min |
Published in: |
Information systems and e-business management : ISeB. - New York, NY [u.a.] : Springer, ISSN 1617-9846, ZDB-ID 2069863-X. - Vol. 16.2018, 2, p. 443-476
|
Subject: | Social sustainability | Supply chain risk management | Child labor | Bayesian network risk model | Text mining | Data Mining | Data mining | Bayes-Statistik | Bayesian inference | Kinderarbeit | Child labour | Lieferkette | Supply chain | Risikomanagement | Risk management | Text |
-
Big data analytics for supply chain risk management : research opportunities at process crossroads
Assis Santos, Leonardo de, (2022)
-
Feature weighted naïve Bayes algorithm for information retrieval of enterprise systems
Wang, Li, (2014)
-
Gatzert, Nadine, (2022)
- More ...
-
E-commerce and tourism: retrospectives and perspectives
Tjoa, A Min, (2004)
-
Karim, Shuaib, (2007)
-
Karim, Shuaib, (2007)
- More ...