IDEAS home Printed from https://ideas.repec.org/a/mes/chinec/v53y2020i3p300-314.html
   My bibliography  Save this article

Venture Investors’ Monitoring and Product Innovation Performance in Serial Crowdfunding Projects: An Empirical Test

Author

Listed:
  • Yanjie Shang
  • Haiyun Yu
  • Zhenzhong Ma

Abstract

An increasing number of entrepreneurs have used crowdfunding to raise funds for their startups. While crowdfunding has attracted many entrepreneurs and investors, serial crowdfunding provides a new way to meet the financing needs of startups at different stages of development. Based on 281 serial crowdfunding projects that have raised funds in three key crowdfunding networks in China, this study investigates the impact of venture investors’ monitoring of crowdfunding projects on product innovation performance in the follow-up projects. The results show that venture investors’ monitoring of crowdfunding projects has a positive impact on product innovation in the follow-up projects, and the financing performance mediates the relationship between venture investors’ monitoring and product innovation. This result can help venture capital better understand the impact of crowdfunding projects on financing performance and further on product innovation in follow-up projects, which will have important practical implications. The findings of this study can also help increase the popularity crowdfunding as a new financing tool in China.

Suggested Citation

  • Yanjie Shang & Haiyun Yu & Zhenzhong Ma, 2020. "Venture Investors’ Monitoring and Product Innovation Performance in Serial Crowdfunding Projects: An Empirical Test," Chinese Economy, Taylor & Francis Journals, vol. 53(3), pages 300-314, May.
    • Handle: RePEc:mes:chinec:v:53:y:2020:i:3:p:300-314
    DOI: 10.1080/10971475.2020.1721045
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10971475.2020.1721045
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10971475.2020.1721045?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huayong Du & Ying Teng & Zhenzhong Ma & Xuguang Guo, 2022. "Value Creation in Platform Enterprises: A Fuzzy-Set Qualitative Comparative Analysis," Sustainability, MDPI, vol. 14(9), pages 1-21, April.

    More about this item

    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:mes:chinec:v:53:y:2020:i:3:p:300-314. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MCES20 .

    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.