IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-981-99-1741-9_3.html
   My bibliography  Save this book chapter

“Cloud Matching Promotes Trade Investment”: The Breeding Road of Jutong Talent Network

In: Innovation of Digital Economy

Author

Listed:
  • Wenqi Duan

    (Taizhou University)

  • Xiaohui Dai

    (Zhejiang Normal University)

  • Wenting Ding

    (Zhejiang Normal University)

  • Zhifang Yu

    (Zhejiang Normal University)

Abstract

Digital economy has become an important engine driving the high-quality development of China's economy. How to better assist foreign trade enterprises to carry out overseas business with the help of digital technology, and help international students to carry out professional internships, employment practices and other activities are urgent problems to be solved during the epidemic. This case tells a story about the Jutong Talent network platform (Jutong for short) that professor Duan Wenqi led and Hangzhou Xinzhishuo Big Data Technology Co., LTD., in order to serve foreign trade enterprises and international students to achieve human-enterprise matching and win- win cooperation. The case takes the emergence and development of the platform as the main line, and expounds the process of the platform from discovering opportunities in the context of the epidemic to proposing new ideas for the development of contactless foreign trade, thus constructing the service structure of the Jutong platform, and formulating operation strategies to promote the platform. Through case study, we can comprehensively and systematically grasp the relationship between platform ecosystem and its members, learn to build platform service architecture based on user demand list, apply platform ecosystem thinking to the promotion and operation of platform enterprises, and improve the operation efficiency of enterprises.

Suggested Citation

  • Wenqi Duan & Xiaohui Dai & Wenting Ding & Zhifang Yu, 2023. "“Cloud Matching Promotes Trade Investment”: The Breeding Road of Jutong Talent Network," Management for Professionals, in: Jianlin Zhang & Kezhen Ying & Kanliang Wang & Zhigang Fan & Ziyi Zhao (ed.), Innovation of Digital Economy, pages 27-42, Springer.
    • Handle: RePEc:spr:mgmchp:978-981-99-1741-9_3
    DOI: 10.1007/978-981-99-1741-9_3
    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 search for a similarly titled item that would be available.

    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:mgmchp:978-981-99-1741-9_3. 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.