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International Transactions in Operational Research
Article . 2017 . Peer-reviewed
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2020
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Group‐buying coupons considering consumers’ perceived ease of use

Group-buying coupons considering consumers' perceived ease of use
Authors: Qin Wan; Shilei Yang; Yi Liao; Yu Xia;

Group‐buying coupons considering consumers’ perceived ease of use

Abstract

AbstractThis paper examines the design of the online discount coupon, which is a popular marketing tool that offers consumers group‐buying (GB) discounts when they prepay for participating firms’ goods and services. We develop a two‐stage model for a market in which consumers are heterogeneous in their valuation of a product. In our setup, consumers make purchase decisions at the first stage and update their perceptions of the product. As a result, they adjust their repurchase decisions at the second stage. Through the analysis of price discrimination effect and advertising effect, we demonstrate that consumers make their purchase decisions based on not only the discount rate but also the degree of perceived ease of use of the coupons. We then examine both single‐time and double‐time GB mechanisms, and recommend the optimal design for the firm to increase its profitability. Our model also accommodates uncertainty of the degree of consumers' perceived ease of use and shows that the conditions for the optimal GB mechanism are robust.

Related Organizations
Keywords

perceived ease of use, consumer behavior, repeated purchase, Operations research, mathematical programming, group-buying coupon

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    popularity
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    influence
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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!
9
Top 10%
Average
Average
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