no. 3
Managing a 5G mobile phone supply chain under the impact of strategic consumers: A two-period game analysis and applications
RAIRO. Operations Research, Tome 55 (2021) no. 3, pp. 1423-1440

Consumers’ strategic purchasing behavior has a great influence on the pricing and sales of new products. In order to study the impact of strategic consumers on the sales of 5G mobile phones, we establish a two-period pricing model. The supply chain contains two manufacturers, a communications operator and a mobile phone retailer. Cases where two manufacturers have the same or different pricing rights are researched by using the Stackelberg game and the Nash game model. Our research results are as follows: (1) We obtain the optimal 5G communication fees in two periods and find out how they change with the proportion of consumers changing. (2) We figure out the profits of the supply chain in two periods and analyze them. We find that the communication operator earns more than the others most of the time. (3) We investigate how the proportion of strategic consumer impact on supply chain profits and conclude that the optimal price and demand in a period will decrease as the proportion of consumers who only purchase products in the other period increases

Reçu le :
Accepté le :
Première publication :
Publié le :
DOI : 10.1051/ro/2021047
Classification : 91A10, 93A30
Keywords: Strategic consumers, two-period pricing, Stackelberg game, Nash game 
@article{RO_2021__55_3_1423_0,
     author = {He, Zijian and Ma, Junhai and Zhang, Qin},
     title = {Managing a {5G} mobile phone supply chain under the impact of strategic consumers: {A} two-period game analysis and applications},
     journal = {RAIRO. Operations Research},
     pages = {1423--1440},
     year = {2021},
     publisher = {EDP-Sciences},
     volume = {55},
     number = {3},
     doi = {10.1051/ro/2021047},
     mrnumber = {4269472},
     zbl = {1468.91052},
     language = {en},
     url = {https://www.numdam.org/articles/10.1051/ro/2021047/}
}
TY  - JOUR
AU  - He, Zijian
AU  - Ma, Junhai
AU  - Zhang, Qin
TI  - Managing a 5G mobile phone supply chain under the impact of strategic consumers: A two-period game analysis and applications
JO  - RAIRO. Operations Research
PY  - 2021
SP  - 1423
EP  - 1440
VL  - 55
IS  - 3
PB  - EDP-Sciences
UR  - https://www.numdam.org/articles/10.1051/ro/2021047/
DO  - 10.1051/ro/2021047
LA  - en
ID  - RO_2021__55_3_1423_0
ER  - 
%0 Journal Article
%A He, Zijian
%A Ma, Junhai
%A Zhang, Qin
%T Managing a 5G mobile phone supply chain under the impact of strategic consumers: A two-period game analysis and applications
%J RAIRO. Operations Research
%D 2021
%P 1423-1440
%V 55
%N 3
%I EDP-Sciences
%U https://www.numdam.org/articles/10.1051/ro/2021047/
%R 10.1051/ro/2021047
%G en
%F RO_2021__55_3_1423_0
He, Zijian; Ma, Junhai; Zhang, Qin. Managing a 5G mobile phone supply chain under the impact of strategic consumers: A two-period game analysis and applications. RAIRO. Operations Research, Tome 55 (2021) no. 3, pp. 1423-1440. doi: 10.1051/ro/2021047

[1] M. J. Arshad, A. Farooq and A. Shah, Evolution and development towards 4th generation (4G) mobile communication systems. J Am. Sci. (2010) 63–68.

[2] B. Bao, J. Ma and M. Goh, Short- and long-term repeated game behaviours of two parallel supply chains based on government subsidy in the vehicle market. Int. J. Prod. Res. (2020) 7507–7530. | DOI

[3] G. P. Cachon and P. Feldman, Price commitments with strategic consumers: Why it can be optimal to discount more frequently than optimal. Manuf. Serv. Oper. Manage. (2015) 399–410. | DOI

[4] M. Cheng, T. Hsieh, H. Lee and L. Y. Ouyang, Optimal ordering policies for deteriorating items with a return period and price-dependent demand under two-phase advance sales. Oper. Res. Int. J. (2020) 585–604. | DOI

[5] P. De Giovanni and G. Zaccour, A two-period game of a closed-loop supply chain. Eur. J. Oper. Res. (2014) 22–40. | MR | Zbl | DOI

[6] J. Dong and D. D. Wu, Two-period pricing and quick response with strategic consumers. Int. J. Prod. Econ. (2019) 165–173. | DOI

[7] A. Farshbaf-Geranmayeh and G. Zaccour, Pricing and advertising in a supply chain in the presence of strategic consumers. Omega (2020) 102239.

[8] T. S. Genc and P. De Giovanni, Trade-in and save: a two-period closed-loop supply chain game with price and technology dependent returns. Int. J. Prod. Econ. (2017) 514–527. | DOI

[9] P. He, H. Feng, G. Hu, K. Hewage, G. Achari, C. Wang and R. Sadiq, Life cycle cost analysis for recycling high-tech minerals from waste mobile phones in China. J. Clean Prod. (2020) 119498. | DOI

[10] ITU, Time series of ICT data for the world, by geographic regions and by level of development, for the following indicators. Accessed 28 October 2019. https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx (2019).

[11] G. Kalyanaram and J. D. Little, An empirical analysis of latitude of price acceptance in consumer package goods. J. Consum. Res. (1994) 408–418. | DOI

[12] D. J. Langley, J. Van Doorn, I. C. Ng, S. Stieglitz, A. Lazovik and A. Boonstra, The internet of everything: smart things and their impact on business models. J. Bus Res. (2021) 853–863. | DOI

[13] Q. Lei, J. He and F. Huang, Impacts of online and offline channel structures on two-period supply chains with strategic consumers. Mathematics (2020) 34.

[14] C. Li, M. Chu, C. Zhou and L. Zhao, Two-period discount pricing strategies for an e-commerce platform with strategic consumers. Comput. Ind. Eng. (2020) 106640. | DOI

[15] J. Liu, X. Zhai and L. Chen, Optimal pricing strategy under trade-in program in the presence of strategic consumers. Omega (2019) 1–17. | DOI

[16] J. Ma, Y. Hou, W. Yang and Y. Tian, A time-based pricing game in a competitive vehicle market regarding the intervention of carbon emission reduction[J]. Energy Policy (2020) 111440. | DOI

[17] J. Ma, Y. Hou, Z. Wang and W. Yang, Pricing strategy and coordination of automobile manufacturers based on government intervention and carbon emission reduction[J]. Energy Policy (2021) 111919. | DOI

[18] K. Maeng, J. Kim and J. Shin, Demand forecasting for the 5G service market considering consumer preference and purchase delay behavior. Telemat. Inf. (2020) 101327. | DOI

[19] T. Maiti and B. C. Giri, Two-period pricing and decision strategies in a two-echelon supply chain under price-dependent demand. Appl. Math. Model. (2017) 655–674. | MR | Zbl | DOI

[20] J. A. Niederhoff and P. Kouvelis, Generous, spiteful, or profit maximizing suppliers in the wholesale price contract: a behavioral study. Eur. J. Oper. Res. (2016) 372–382. | Zbl | DOI

[21] A. K. Parlaktürk, The value of product variety when selling to strategic consumers. Manuf. Ser. Oper. Manage. (2012) 371–385. | DOI

[22] Y. Papanastasiou and N. Savva, Dynamic pricing in the presence of social learning and strategic consumers. Manage. Sci. (2017) 919–939. | DOI

[23] X. Su, Optimal pricing with speculators and strategic consumers. Manage. Sci. (2010) 25–40. | Zbl | DOI

[24] L. Xie, J. Ma and M. Goh, Supply chain coordination in the presence of uncertain yield and demand. Int. J. Prod Res. (2020). DOI: 10.1080/00207543.2020.1762942, pp. 1762942, 2020.

[25] H. Zaman and G. Zaccour, Optimal government scrappage subsidies in the presence of strategic consumers. Eur. J. Oper. Res. (2021) 829–838. | MR | Zbl | DOI

[26] Y. Zha, L. Zhang, C. Xu and T. Zhang, A two-period pricing model with intertemporal and horizontal reference price effects. Int. Trans. Oper. Res. (2021) 829–838. | MR | Zbl

[27] E. Zhou, J. Zhang, Q. Gou and L. Liang, A two-period pricing model for new fashion style launching strategy. Int. J. Prod. Econ. (2015) 144–156. | DOI

Cité par Sources :