Welcome to Francis Academic Press

Academic Journal of Business & Management, 2022, 4(13); doi: 10.25236/AJBM.2022.041304.

Decision-Making Mechanism and Evolutionary Game Analysis of the Seller's Remanufactured Price Deception Behavior

Author(s)

Zhuo Yang

Corresponding Author:
Zhuo Yang
Affiliation(s)

School of Management, Shanghai University, Shanghai, China

Abstract

In the early stage of the development of the remanufacturing industry, the confusion of market supervision and the influx of competitors in the same industry reduced the profits of remanufactured products. In order to obtain more profits, the seller conducted price deception of remanufactured products. This paper studies the evolution process of seller's remanufactured price deception behavior. Firstly, a three-party evolutionary game model consisting of the seller, governments and consumers is constructed. And the evolutionary stability of mixed strategies is analyzed by Lyapunov's first method matrix. The results show that: when the after-tax income of the seller who chooses not to disguise is greater than the difference between the after-tax income of disguise and the cost of disguise, the seller does not disguise and the consumer purchases. The market achieves an effective allocation at this time. Secondly, the internal evolutionary game model of the seller group is established. It is analyzed through the stability principle of differential equations. The results show that: the government increases incentives and punishments can both motivate the seller to choose not to disguise products.

Keywords

Remanufactured products, Price deception, Disguised costs, Evolutionary game

Cite This Paper

Zhuo Yang. Decision-Making Mechanism and Evolutionary Game Analysis of the Seller's Remanufactured Price Deception Behavior. Academic Journal of Business & Management (2022) Vol. 4, Issue 13: 23-31. https://doi.org/10.25236/AJBM.2022.041304.

References

[1] Di, W.M., Xu, W. J. and Xia, X.Q. Analysis of government subsidy strategy and effect of closed-loop supply chain based on dealer remanufacturing. Operations Research and Management, (2021) 30, 102-109.

[2] Cao, J., Zhao, Y.W., Wu, S.S., Zhang, X.M. and Zhou, G.G. Remanufacturing game considering patent licensing and government regulation. Journal of Management Science, (2020) 23, 1-23.

[3] Meng, L.J., Huang, Z.Q., Zhang, B.Y. and Yang, Y.X. Analysis of the closed-loop supply chain remanufactured consumption subsidy policy model. China Management Science, (2021) 29, 148-160.

[4] Liu, B.Y., Yang, H.D. and Ke, D. The impact of carbon emission policies under patent licensing on the operational decisions of manufacturers/remanufacturers. China Management Science, (2022), 1-12.

[5] Gao, P., Du, J.G., Nie, J.J. and Zhu, B.X. The influence of consumer brand loyalty on brand remanufacturing market strategy. China Management Science, (2021) 29, 47-58.

[6] Zhen, Y.K. Big data discriminatory pricing in markets with switching costs. Management World, (2022) 38, 84-117.

[7] Li, M.K., Wu, H. and Wang, W. Game mechanism of internet enterprises’ cheating regular customers by big data and customers’ strategy to respond. Journal of Management, (2021) 34, 55-64.

[8] Zhou, Y.Y. and Huang, J.H. Research on strategy of government for regulating grain transaction price game. Journal of UESTC (Social Sciences Edition), (2020) 22, 107-112.

[9] Wang, T. And Wang, L. The random evolutionary game model of incentive mechanism for anti-epidemic supplies supply chain based on emergency events. Journal of Systems Science and Complexity, (2022) 42, 965-977.

[10] Liang, X. and Chen, Q.Q. Study on the major epidemic prevention and control under the mechanism of government dynamic reward and punishment. Chinese Journal of Management Science, (2021) DOI:10.16381/j.cnki.issn1003-207x.2020.0587

[11] Yang, S., Zhuang, J.C., Meng, X.H. and Wang, A.F. The evolutionary game between enterprise behavior and government regulation under various subsidy and punishment mechanisms. Management review, (2022) 34, 314-324.

[12] Liu, Q.L., Li, X.C. and Meng, X.F. Effectiveness research on the multi-player evolutionary game of coal-mine safety regulation in China based on system dynamics. Safety Science, (2019) 111, 224-233.