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A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks
Elalem, Yara Kayyali; Maier, Sebastian; Seifert, Ralf W. - In: International journal of forecasting 39 (2023) 4, pp. 1874-1894
Persistent link: https://www.econbiz.de/10014465364
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How training on multiple time slices improves performance in churn prediction
Gattermann-Itschert, Theresa; Thonemann, Ulrich - In: European journal of operational research : EJOR 295 (2021) 2, pp. 664-674
Persistent link: https://www.econbiz.de/10013205985
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Designing incentive systems for truthful forecast information sharing within a firm : case study, theory and experiments
Scheele, Lisa - 2018
Persistent link: https://www.econbiz.de/10011848460
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The value of weather information for e-commerce operations
Steinker, Sebastian; Hoberg, Kai; Thonemann, Ulrich - In: Production and operations management : an international … 26 (2017) 10, pp. 1854-1874
Persistent link: https://www.econbiz.de/10011778038
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Designing incentive systems for truthful forecast information sharing within a firm
Scheele, Lisa M.; Thonemann, Ulrich; Slikker, Marco - In: Management science : journal of the Institute for … 64 (2018) 8, pp. 3690-3713
Persistent link: https://www.econbiz.de/10011899979
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Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests
Gattermann-Itschert, Theresa; Thonemann, Ulrich - In: Industrial marketing management : the international … 107 (2022), pp. 134-147
Persistent link: https://www.econbiz.de/10014230262