Human predictions versus algorithmic predictions: Improving the supplier’s forecasting accuracy in the Dutch Flower Industry

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Keywords	predictive analytics, business intelligence, business analytics, data analytics, rapidminer, sales predicting
Thesis Advisor	van Heck, Eric, Koppius, Otto
Persistent URL	hdl.handle.net/2105/47573
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Prins, Ricardo. (2019). Human predictions versus algorithmic predictions: Improving the supplier’s forecasting accuracy in the Dutch Flower Industry. In Business Information Management.http://hdl.handle.net/2105/47573

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