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Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
Zhu, You; Zhou, Li; Chi, Xie; Wang, Gang-Jin; Truong … - In: International journal of production economics 211 (2019), pp. 22-33
Persistent link: https://www.econbiz.de/10012013892
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Behavioral data-driven analysis with Bayesian method for risk management of financial services
Lin, Edward M. H.; Sun, Edward W.; Yu, Min-Teh - In: International journal of production economics 228 (2020), pp. 1-18
Persistent link: https://www.econbiz.de/10012303863
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The effect of supply chain finance initiatives on the market value of service providers
Lam, Hugo K. S.; Zhan, Yuanzhu; Zhang, Minhao; Wang, Yichuan - In: International journal of production economics 216 (2019), pp. 227-238
Persistent link: https://www.econbiz.de/10012106774
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How important are supply chain collaborative factors in supply chain finance? : a view of financial service providers in China
Ma, Hoi-Lam; Wang, Zhengxu; Chan, Felix Tung Sun - In: International journal of production economics 219 (2020), pp. 341-346
Persistent link: https://www.econbiz.de/10012155229
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A survey of supply chain operation and finance with Fintech : research framework and managerial insights
Li, Jian; He, Zhou; Wang, Shouyang - In: International journal of production economics 247 (2022), pp. 1-9
Persistent link: https://www.econbiz.de/10013337662
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Distributions of forecasting errors of forecast combinations : implications for inventory management
Barrow, Devon K.; Kourentzes, Nikolaos - In: International journal of production economics 177 (2016), pp. 24-33
Persistent link: https://www.econbiz.de/10011503328
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Forecasting supply chain sporadic demand with nearest neighbor approaches
Nikolopoulos, Konstantinos; Babai, M. Zied; Bozos, … - In: International journal of production economics 177 (2016), pp. 139-148
Persistent link: https://www.econbiz.de/10011503375
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Forecasting aggregate demand : analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework
Sbrana, Giacomo; Silvestrini, Andrea - In: International journal of production economics 146 (2013) 1, pp. 185-198
Persistent link: https://www.econbiz.de/10010221643
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Optimization of combined time series methods to forecast the demand for coffee in Brazil : a new approach using Normal Boundary Intersection coupled with mixture designs of experim...
Bacci, Livio Agnew; Mello, Luiz Gustavo; Incerti, Taynara; … - In: International journal of production economics 212 (2019), pp. 186-211
Persistent link: https://www.econbiz.de/10012036207
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Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors
Spiliotis, Evangelos; Assimakopoulos, V.; Nikolopoulos, … - In: International journal of production economics 209 (2019), pp. 92-102
Persistent link: https://www.econbiz.de/10012013066