IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-676-5_15.html

Innovation Evaluation of Smart Home Service Level in Guangdong Province under the Background of Digital Economy——Based on TOPSIS Entropy Weight Method

In: Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)

Author

Listed:
  • Hanting Mao

    (Guangdong University of Technology, School of Economics and Commerce)

  • Peirong Xie

    (China Normal University, International Business School of South)

  • Hongjie Huang

    (Guangdong University of Technology, School of Economics and Commerce)

  • Yifeng Huang

    (Guangdong University of Technology, School of Economics and Commerce)

Abstract

In recent years, the economic growth rate of Guangdong Province has slowed down, lagging behind other economically developed provinces in both growth rate and increment, and the downward pressure on the economy still exists. It is urgent to promote the service-oriented manufacturing industry and industrial transformation and upgrading. According to data from Zhiyan Consulting, it is estimated that by 2025, China’s smart home market will reach approximately 1.2 trillion yuan. Combined with domestic and foreign practical experience and domestic policy guidance, the service-oriented smart home industry profoundly highlights the transformation and advancement of the manufacturing industry in the service field. At present, there is little research on the service level of smart home at home and abroad, and most scholars’ research on service is limited to the macro level. This paper innovatively proposes to use TOPIS entropy weight method to construct an innovation evaluation system, so as to realize the evaluation of the service level of smart home industry from the micro level, which has far-reaching significance for promoting the process of industrial service.

Suggested Citation

  • Hanting Mao & Peirong Xie & Hongjie Huang & Yifeng Huang, 2025. "Innovation Evaluation of Smart Home Service Level in Guangdong Province under the Background of Digital Economy——Based on TOPSIS Entropy Weight Method," Advances in Economics, Business and Management Research, in: Manhui Huang & Vilas B. Gaikar & Md Rabiul Islam & Ivan Krumov Todorov (ed.), Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), pages 127-139, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-676-5_15
    DOI: 10.2991/978-94-6463-676-5_15
    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:978-94-6463-676-5_15. 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.