Information Disclosure Strategies for Chinese Agricultural Product Producers: Digital Intelligent Marketing and Ecological Niche Perspective.

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Bibliographic Details
Title:	Information Disclosure Strategies for Chinese Agricultural Product Producers: Digital Intelligent Marketing and Ecological Niche Perspective.
Authors:	Liu, Pan¹ hnycliupan@163.com, Liu, Zihou² lzh90202@163.com, Zhang, Man² 936781892@qq.com
Source:	IAENG International Journal of Applied Mathematics. Mar2026, Vol. 56 Issue 3, p1076-1089. 14p.
Subjects:	Game theory, Internet traffic, Farm produce, Digital technology, Internet marketing, Strategic alliances (Business), Disclosure, Electronic commerce
Abstract:	Producers and e-commerce platforms engage in a strategic evolutionary game to enhance the information disclosure environment. Employing evolutionary game theory, we analyze the influence of key parameters--including initial willingness, traffic conversion rates, the platform's revenue share ratio, the producer's additional cost for adopting strategy H1, and the platform's service cost for strategy G1--on the system's Evolutionarily Stable Strategy (ESS). Numerical simulations are conducted to validate the model. The findings indicate that the system's convergence to the optimal (H1, G1) strategy is promoted by higher initial willingness from both parties, a significant disparity in traffic conversion rates between strategies, an appropriately set revenue share ratio, greater traffic generated by the platform's G1 strategy, and lower traffic from its G2 strategy. Furthermore, producers exhibit greater sensitivity and respond more rapidly to strategic adjustments. Based on these results, the paper proposes targeted recommendations to optimize the collaborative ecosystem between producers and e-commerce platforms. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Producers and e-commerce platforms engage in a strategic evolutionary game to enhance the information disclosure environment. Employing evolutionary game theory, we analyze the influence of key parameters--including initial willingness, traffic conversion rates, the platform's revenue share ratio, the producer's additional cost for adopting strategy H1, and the platform's service cost for strategy G1--on the system's Evolutionarily Stable Strategy (ESS). Numerical simulations are conducted to validate the model. The findings indicate that the system's convergence to the optimal (H1, G1) strategy is promoted by higher initial willingness from both parties, a significant disparity in traffic conversion rates between strategies, an appropriately set revenue share ratio, greater traffic generated by the platform's G1 strategy, and lower traffic from its G2 strategy. Furthermore, producers exhibit greater sensitivity and respond more rapidly to strategic adjustments. Based on these results, the paper proposes targeted recommendations to optimize the collaborative ecosystem between producers and e-commerce platforms. [ABSTRACT FROM AUTHOR]
ISSN:	19929978