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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Discounting one selected item or the whole cart?</dc:title><dc:creator>Velkavrh,	Žiga	(Avtor)
	</dc:creator><dc:subject>customer behaviour</dc:subject><dc:subject>decision theory</dc:subject><dc:subject>normative benchmark</dc:subject><dc:subject>per-purchase discount</dc:subject><dc:subject>per-selected-item discount</dc:subject><dc:description>The article addresses two real-world decision-making problems faced by customers who are offered two mutually exclusive supermarket discount formats: an unconditional per-selected-item discount and a conditional per-purchase discount applicable only when the total purchase amount reaches a specified spending threshold. The analysis provides a normative benchmark for comparing these formats from the customer's perspective and determines what a customer should do, once they have selected their cart, to minimise total payment. When the threshold is reached, the problem reduces to a monetary comparison between applying a higher discount to a most expensive item in the cart and applying a lower discount to the overall purchase. When the threshold is not reached, the problem becomes more complex, as the analysis requires determining whether applying a higher discount to a most expensive item in the original cart results in a lower or higher total payment than adding an additional item to reach the threshold and applying a lower discount to the new total purchase amount. To automate the required calculations and thereby facilitate discount comparisons, we provide a prototype decision aid in the form of R functions, which could serve as a basis for supermarket decision-support tools.</dc:description><dc:date>2026</dc:date><dc:date>2026-08-14 09:59:58</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>23479</dc:identifier><dc:identifier>UDK: 519.816</dc:identifier><dc:identifier>ISSN pri članku: 2590-2911</dc:identifier><dc:identifier>DOI: 10.1016/j.ssaho.2026.103435</dc:identifier><dc:identifier>COBISS.SI-ID: 287789059</dc:identifier><dc:language>sl</dc:language></metadata>
