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dc.contributor.authorBisson, Christophe
dc.contributor.authorGürpınar, Furkan
dc.date.accessioned2021-01-27T19:40:30Z
dc.date.available2021-01-27T19:40:30Z
dc.date.issued2017
dc.identifier.issn2001015X
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3753
dc.description.abstractA new approach is provided in our paper for creating a strategic early warning system allowing the estimation of the future state of the milk market as scenarios. This is in line with the recent call from the EU commission for tools that help to better address such a highly volatile market. We applied different multivariate time series regression and Bayesian networks on a pre-determined map of relations between macro-economic indicators. The evaluation of our findings with root mean square error (RMSE) performance score enhances the robustness of the prediction model constructed. Our model could be used by competitive intelligence teams to obtain sharper scenarios, leading companies and public organisations to better anticipate market changes and make more robust decisions.en_US
dc.language.isoEnglishen_US
dc.publisherHalmstad Universityen_US
dc.subjectBayesian networksen_US
dc.subjectCompetitive intelligenceen_US
dc.subjectForecastingen_US
dc.subjectMilk marketen_US
dc.subjectStrategic early warning systemen_US
dc.titleA Bayesian approach to developing a strategic early warning system for the French milk marketen_US
dc.typeArticleen_US
dc.identifier.startpage25en_US
dc.identifier.endpage34en_US
dc.relation.journalJournal of Intelligence Studies in Businessen_US
dc.identifier.issue3en_US
dc.identifier.volume7en_US
dc.identifier.doi10.37380/jisib.v7i3.277en_US
dc.contributor.khasauthorBisson, Christopheen_US


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