Pricing strategy of dual-channel supply chain with a risk-averse retailer considering consumers’ channel preferences

Author(s):  
Rufeng Wang ◽  
Xiongwei Zhou ◽  
Bo Li
2017 ◽  
Vol 9 (11) ◽  
pp. 2148 ◽  
Author(s):  
Lijing Zhu ◽  
Xiaohang Ren ◽  
Chulung Lee ◽  
Yumeng Zhang

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Qi Xu ◽  
Zheng Liu ◽  
Bin Shen

Recently, price comparison service (PCS) websites are more and more popular due to its features in facilitating transparent price and promoting rational purchase decision. Motivated by the industrial practices, in this study, we examine the pricing strategies of retailers and supplier in a dual-channel supply chain influenced by the signals of PCS. We categorize and discuss three situations according to the signal availability of PCS, under which the optimal pricing strategies are derived. Finally, we conduct a numerical study and find that in fact the retailers and supplier are all more willing to avoid the existence of PCS with the objective of profit maximization. When both of retailers are affected by the PCS, the supplier is more willing to reduce the availability of price information. Important managerial insights are discussed.


2018 ◽  
Vol 25 (s2) ◽  
pp. 107-116
Author(s):  
Qing Fang ◽  
Zeping Tong ◽  
Liang Ren ◽  
Ao Liu

Abstract Price decision is studied in a risk-averse retailer-dominated dual-channel supply chain, which consisting of one manufacturers and one retailer with both off-line and on-line channels. Firstly, two mean-variance models in centralized and decentralized supply chain are established. Secondly, the optimal solutions under the two decision modes are compared and analyzed. The results shows that the price of dual-channel of retailer decreased with the increase of retailers’ risk- aversion coefficient and the standard deviation of the fluctuation of market demand, while the wholesale price changes is on the contrary; in addition, when the market demand is greater than a certain value, the prices of dual channel are correspondingly higher in decentralized supply chain than in centralized supply chain, and vice versa. In addition, when the retailer’s risk aversion is in a certain interval, the expected utility of the whole supply chain is greater in centralized supply chain than in decentralized decision, and vice versa. Finally, a numerical example is given to verify the above conclusions.


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