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dc.contributor.authorBisson, Christophe
dc.contributor.authorGurpinar, Furkan
dc.date.accessioned2019-06-27T08:01:27Z
dc.date.available2019-06-27T08:01:27Z
dc.date.issued2017
dc.identifier.issn2001-015X
dc.identifier.urihttps://hdl.handle.net/20.500.12469/387
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.
dc.language.isoEnglish
dc.publisherHALMSTAD UNIV SWEDEN
dc.relation.ispartofJournal of Intelligence Studies in Business
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBayesian networks
dc.subjectCompetitive intelligence
dc.subjectForecasting
dc.subjectMilk market
dc.subjectStrategic early warning system
dc.titleA Bayesian approach to developing a strategic early warning system for the French milk market
dc.typeArticle
dc.identifier.startpage25
dc.identifier.endpage34
dc.identifier.issue3
dc.identifier.volume7
dc.identifier.wosWOS:000419293200003
dc.contributor.khasauthorBisson, Christophe


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