Using Transaction Data for Payment Analysis to Optimize Cash Handling in Retailing

A method to generate hypotheses on consumer payment behavior from market basket data is presented with which retailers can predict future cash requirements. This could help retailers to minimize the costs of cash management through rationalization and may also encourage the introduction of new buying incentives based on payment characteristics

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Year of publication:	2011
Authors:	Buhr, Carl-Christian
Publisher:	[2011]: [S.l.] : SSRN
Subject:	Bargeldloser Zahlungsverkehr \| Noncash payments \| Einzelhandel \| Retail trade \| Zahlungsverkehr \| Payment system \| Theorie \| Theory \| Elektronisches Geld \| Electronic money \| Transaktionskosten \| Transaction costs

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Extent:	1 Online-Ressource (5 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Proceedings of the Academy of Marketing Science – World Marketing Congress, Muenster, July 2005 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 1, 2005 erstellt
Classification:	D12 - Consumer Economics: Empirical Analysis ; M31 - Marketing ; L81 - Retail and Wholesale Trade; Warehousing
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013130006