IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/6660340.html
   My bibliography  Save this article

Analyzing Chinese Customers’ Switching Intention of Smartphone Brands: Integrating the Push-Pull-Mooring Framework

Author

Listed:
  • Jin Guo
  • Shan Shan
  • Yu Wang
  • Yousaf Ali Khan
  • Chun Wei

Abstract

With increasing technology advancement, online shopping, and growth of affordable segment, smartphone users’ switching behavior is becoming a concern for smartphone companies. To fill the research gap that persists in relation to the switching behavior of smartphone users from a multidimensional view, this study integrates the push-pull-mooring model to investigate and classify factors that affect the switching behavior of smartphone users. To test the hypotheses in relation to different predictors, data were collected from a survey of 246 users of the top ten smartphone brands in China and analyzed using structural model equation through regression analyses. The results revealed that the pull, push, and mooring factors have a significant impact on the switching behavior of smartphone users. While the pull effects have a stronger impact than push effects, the mooring factors were found to have a significant and strongest effect on smartphone users’ switching behavior. In particular, subjective norm showed the greatest impact on switching behavior, product quality and obsolete features showed significant and weak impact while brand image, switching cost, and poor customer service did not show any significant impact. These findings provide useful implications and insights for smartphone brands to develop competitive strategies for customer relationship management.

Suggested Citation

  • Jin Guo & Shan Shan & Yu Wang & Yousaf Ali Khan & Chun Wei, 2021. "Analyzing Chinese Customers’ Switching Intention of Smartphone Brands: Integrating the Push-Pull-Mooring Framework," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, March.
  • Handle: RePEc:hin:jnddns:6660340
    DOI: 10.1155/2021/6660340
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2021/6660340.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2021/6660340.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/6660340?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
    ---><---

    Citations

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


    Cited by:

    1. Shaowen Wang & Xiaojun Liu & Weixing Shao, 2023. "Drivers of Engineering Procurement and Construction Model Adoption Behavior by Public Construction Owners in China," Sustainability, MDPI, vol. 15(15), pages 1-20, August.

    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:hin:jnddns:6660340. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.