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series model for each ATMs. For clustering, the succession of 7 continuous daily withdrawal seasonality parameters of ATMs is … result of Andrawis et al. (2011). This is due to clustering followed by a forecasting phase. Further, the proposed approach … yielded much smaller SMAPE values than the approach of direct prediction on the entire sample without clustering. From a …
Persistent link: https://www.econbiz.de/10011083095
This paper uses scanner data at the individual customer level, compiled from the loyalty card database of a European retailer, to determine the importance of implicit contracts as a source of price stickiness. Drawing from Customer Relationship Management (CRM), we use segmentation techniques...
Persistent link: https://www.econbiz.de/10011083106