IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-256-9_90.html

Ordering Strategies That Consider Positive and Negative Incentives for Designers Under Clothing Crowdsourcing

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Yipeng Li

    (Zhongnan University of Economics and Law, School of Information and Safety Engineering)

  • Shu Zhang

    (Zhongnan University of Economics and Law, School of Information and Safety Engineering)

  • Kaifu Yuan

    (Guizhou University of Finance and Economics, School of Business Administration)

Abstract

The combination of clothing industry and crowdsourcing supply chain (CSC) is becoming a research hotspot. For the clothing industry, “crowdsourcing” is introduced into the traditional supply chain operation. Firstly, based on the newsboy model, a basic ordering model (BM) is constructed. Then the optimal pricing and ordering decisions under decentralized decision-making and centralized decision-making are compared and analyzed. Furthermore, in order to continuously obtain high-quality creativity, considering the participation incentive of crowdsourcing designers and enterprise inventory risk avoidance, a positive and negative incentive ordering model (PNI) for designers is proposed. Through mathematical derivation and theorem proof, the optimal utility and optimal order quantity of supply chain and crowdsourcing designers are obtained. Finally, the optimal pricing order problem of the two policy models is solved through data simulation, and further sensitivity analysis of the fabric consumption rate, order quantity and other parameters are carried out. It is concluded that centralised decision-making under BM is superior to decentralised decision-making, and PNI has some practical value in improving supply chain profitability and expanding order volumes for apparel retailers.

Suggested Citation

  • Yipeng Li & Shu Zhang & Kaifu Yuan, 2024. "Ordering Strategies That Consider Positive and Negative Incentives for Designers Under Clothing Crowdsourcing," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 910-924, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_90
    DOI: 10.2991/978-94-6463-256-9_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:978-94-6463-256-9_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.