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Pricing strategy of innovative product in supply chain considering anticipated regret

Bibliographic Data

ID15068414
AuthorsNian Zhang (0000-0003-1916-7719, Chongqing University of Posts and Telecommunications, corresponding author), Qi Tian (0000-0002-7252-5047, Chongqing University of Posts and Telecommunications), Bin Li (0000-0002-9633-0033, Northeastern University), Jin Liu (0000-0001-5816-2422, Chongqing University of Posts and Telecommunications)
Year2023
Volume36
Issue2
Publication date2023-07-10
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2022.2147563
OpenAlexW4309831290
LanguageEN
References cited17

Product innovation is a significant marketing strategy for enterprises to attract customers. However, innovative products may not meet consumers’ expectations, where consumers would regret and return after purchasing the products. Firstly, a Stackelberg game is constructed in this paper model under different supply chain power structures. And then, the impact of consumers’ anticipated regret and innovation attributes are discussed on the equilibrium results and supply chain profit through theoretical comparison and numerical simulation. The results show that: (1) Sales enterprise can adopt the strategy of pricing penetration to promote the demand and avoid selling risk. (2) Enterprise can provide customers with high value-added services to increase profit. (3) Manufacturing enterprise can adopt the additive value strategy to promote consumption and gain extra profit. The conclusion can provide reference opinions for enterprises’ innovation and pricing decision-making. However, the different regret coefficients for innovative products and current products are not considered in this paper. Further the situation is considered in which consumers purchase current product, discount product and innovative product

Business · Industrial organization · Pricing strategies · Regret · Supply chain · Computer Science · Innovation Diffusion and Forecasting · Mathematics · Supply Chain and Inventory Management · Sustainable Supply Chain Management · Marketing

Highly citedNo

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