IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-142-5_90.html

Platform Leadership and Platform Exploration and Innovation: An Empirical Analysis by Big Data on Mediating Role of Relationship Management Skills and Platform Openness

In: Proceedings of the 8th International Conference on Financial Innovation and Economic Development (ICFIED 2023)

Author

Listed:
  • Suxian Li

    (Guizhou University of Finance and Economics)

  • Luyu Zhang

    (Guizhou University of Finance and Economics)

  • Can Tian

    (Guizhou University of Finance and Economics)

  • Yu Xiao

    (Guizhou University of Finance and Economics)

Abstract

With the advent of the digital economy era, platform companies continue to tap the potential of big data, have more room for development, and give it the possibility of greater value. Therefore, we study the impact of platform leadership on platform innovation and the impact mechanism of platform leadership on platform innovation. Based on this, a dual-mediation influence mechanism model is constructed with platform leadership as the independent variable, platform exploration and innovation as the dependent variable, and platform openness and relationship management skills based on big data as the mediating variables. The platform enterprise data is collected by a questionnaire survey. By using the Hierarchical Regression for our empirical analysis, it is found that the stronger the platform leadership that platform companies have, the more conducive they are to carry out exploratory innovation activities.

Suggested Citation

  • Suxian Li & Luyu Zhang & Can Tian & Yu Xiao, 2023. "Platform Leadership and Platform Exploration and Innovation: An Empirical Analysis by Big Data on Mediating Role of Relationship Management Skills and Platform Openness," Advances in Economics, Business and Management Research, in: Yushi Jiang & Guangming Li & Wilson Xinbao Li (ed.), Proceedings of the 8th International Conference on Financial Innovation and Economic Development (ICFIED 2023), pages 792-798, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-142-5_90
    DOI: 10.2991/978-94-6463-142-5_90
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-142-5_90. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.