IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v92y2024icp1112-1125.html
   My bibliography  Save this article

Dynamic game analysis of E-commerce platform rewards and research & development investment of settled enterprises

Author

Listed:
  • Sheng, Zhiyun
  • Ni, Ningning

Abstract

Contributing to the literature on the E-commerce platform governance, this paper analyzes the e-commerce platform's optimal reward strategy and settled enterprises' optimal Research & Development (R&D) investment decision with different R&D patterns. The results indicate that the platform's rewards can increase settled enterprises' R&D investment and overall benefit of the ecosystem. Under R&D competition pattern, the platform's optimal reward is positively correlated with the technology spillover effect. Under R&D cartels and RJV competition patterns, the platform's optimal reward will increase as the degree of product complementarity. Under R&D competition pattern, settled enterprises' R&D investment and product quality reach the optimum.

Suggested Citation

  • Sheng, Zhiyun & Ni, Ningning, 2024. "Dynamic game analysis of E-commerce platform rewards and research & development investment of settled enterprises," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1112-1125.
  • Handle: RePEc:eee:reveco:v:92:y:2024:i:c:p:1112-1125
    DOI: 10.1016/j.iref.2024.02.068
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056024001485
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2024.02.068?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    E-commerce platform rewards; Settled enterprises' optimal research & development investment; Research & development pattern; Technology spillover effect; Product complementarity;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reveco:v:92:y:2024:i:c:p:1112-1125. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.