scholarly journals Dynamic Pricing with Reference Price Dependence

Author(s):  
Régis Chenavaz
2018 ◽  
Vol 25 (2) ◽  
pp. 213-234 ◽  
Author(s):  
Hongjuan Song ◽  
Yushi Jiang

The aim of this study is to examine the advertising information learning processes of potential tourists and observe how potential tourists sequentially adjust their perceived reference prices and purchase intentions with different risk preferences and choices with respect to gains (the current price is lower than the consumer’s reference price) or losses (the current price is higher than the reference price). In this study, a Bayesian experiment was conducted to elicit reference prices in the presence of tourism advertising with uncertain information. The findings show that with respect to gains, risk avoiders do not reduce their reference prices as significantly as do risk seekers when exposed to price-informative advertising. Exposure to image advertising changes potential tourists’ risk preferences, and the reference price drops more significantly for risk avoiders than for risk seekers. With respect to losses, informative and image advertising impact the reference price for participants with different risk preferences but not at a statistically significant level.


2016 ◽  
Vol 64 (1) ◽  
pp. 150-157 ◽  
Author(s):  
Zhenyu Hu ◽  
Xin Chen ◽  
Peng Hu

2014 ◽  
Vol 8 ◽  
pp. 3693-3708 ◽  
Author(s):  
S. Kachani ◽  
Y. Oumanar ◽  
N. Raissi

2020 ◽  
Vol 30 (04) ◽  
pp. 2050052
Author(s):  
Junhai Ma ◽  
Fang Zhang ◽  
Hui Jiang

The importance of closed-loop supply chains has been widely recognized both in academic communities and in industrial sectors. This paper starts from the traditional supply chains and the new self-supply chain of GREE to extract realistic problems, to mainly investigating two noncooperative dynamic pricing policies in a dual-channel closed-loop supply chain consisting of a manufacturer and a retailer. Then, it studies the influence of different channel power structures on dynamic decisions and their complexities. Furthermore, the reference price affects the purchase decisions of consumers. Therefore, the model takes into account the influence of reference price of the market demands. Results show that the manufacturer who opens up a direct channel can make a huge profit in the game. In the dynamic game evolution process, the game leader is in a more advantageous position when the system is in a stable region; once entering into the bifurcating region or chaotic region, the game follower needs to adjust his price to follow the leader’s decision in order to make a profit. In addition, the system’s stable region becomes smaller when the market demand becomes more sensitive to the difference between the reference price and the actual price. In this model, if the manufacturer acts as a leader, he is in a more advantageous position when the market is sensitive to channel competition in the stable stage while the result is opposite in the unstable stage.


2019 ◽  
Vol 15 (2) ◽  
pp. 667-688 ◽  
Author(s):  
Shichen Zhang ◽  
◽  
Jianxiong Zhang ◽  
Jiang Shen ◽  
Wansheng Tang

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Mengqi Liu ◽  
Wenjie Bi ◽  
Xiaohong Chen ◽  
Guo Li

We study a fashion retailer’s dynamic pricing problem in which consumers present reference effect and memory window. Based on the theory of Baucells et al. (2011), we propose a new reference-price updating mechanism in fashion and textile (FT) industry where consumers have a bounded memory window and anchor on the first and most recent price in any memory window. Moreover, we study the impacts of this mechanism on optimal pricing policy for a retailer selling multiple fashion-like products and analyze optimal price’s steady state, monotonicity, and convergence. For two-product case, we find that, for otherwise identical products, the steady-state price of a core product is lower than that of a noncore product. We compute the retailer’s loss of revenue if he incorrectly assumes the reference-price effect to be at the product level and prices the products individually. Further, as illustrated with numerical results, our model is a flexible way to make pricing strategy if the retailer can anticipate the length of consumers’ memory window.


Sign in / Sign up

Export Citation Format

Share Document