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Single Discount or Multiple Discounts?

Effects of Price Promotion Framing Messages on Online Consumer Purchase Intention
Authors: Yi-Fen Chen; Ruo-Chi Cheng;

Single Discount or Multiple Discounts?

Abstract

The emerging online economy provides consumers with easy access to numerous choices. This article investigates the effects of price promotion framing messages on perceived value and online consumer purchase intention. A 3 (price promotion framing: single discount/multiple discounts- large discount first and small discount last/multiple discounts- small discount first and large discount last) × 2 (price level of product: low/high) experimental design is conducted. The experiment results demonstrated that price framing of single discount has a greater influence on perceived value than multiple discounts. Perceived value has a positive influence on purchase intention. Additionally, price moderates the effects of price promotion framing on consumer purchase intention. This finding offers potential for finding better ways for sellers or managers to present discounts in online shopping. Finally, the conclusion presents implications, limitations, and directions for future research.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
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