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

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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]
Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Information Disclosure Strategies for Chinese Agricultural Product Producers: Digital Intelligent Marketing and Ecological Niche Perspective.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Pan%22">Liu, Pan</searchLink><relatesTo>1</relatesTo><i> hnycliupan@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zihou%22">Liu, Zihou</searchLink><relatesTo>2</relatesTo><i> lzh90202@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Man%22">Zhang, Man</searchLink><relatesTo>2</relatesTo><i> 936781892@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Mar2026, Vol. 56 Issue 3, p1076-1089. 14p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+traffic%22">Internet traffic</searchLink><br /><searchLink fieldCode="DE" term="%22Farm+produce%22">Farm produce</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+marketing%22">Internet marketing</searchLink><br /><searchLink fieldCode="DE" term="%22Strategic+alliances+%28Business%29%22">Strategic alliances (Business)</searchLink><br /><searchLink fieldCode="DE" term="%22Disclosure%22">Disclosure</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+commerce%22">Electronic commerce</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1076
    Subjects:
      – SubjectFull: Game theory
        Type: general
      – SubjectFull: Internet traffic
        Type: general
      – SubjectFull: Farm produce
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Internet marketing
        Type: general
      – SubjectFull: Strategic alliances (Business)
        Type: general
      – SubjectFull: Disclosure
        Type: general
      – SubjectFull: Electronic commerce
        Type: general
    Titles:
      – TitleFull: Information Disclosure Strategies for Chinese Agricultural Product Producers: Digital Intelligent Marketing and Ecological Niche Perspective.
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            NameFull: Liu, Pan
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            NameFull: Liu, Zihou
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            NameFull: Zhang, Man
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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            – TitleFull: IAENG International Journal of Applied Mathematics
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