IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-302-3_11.html

Unlocking Impulse Buying: The Role of Self Control, Shopping Lifestyle, and Age in Purchase Decisions at Miniso

In: Proceedings of the BISTIC Business Innovation Sustainability and Technology International Conference (BISTIC 2023)

Author

Listed:
  • Titis Shinta Dhewi

    (Universitas Negeri Malang, Faculty Economics and Business)

  • Qowa’id Al Farodis

    (Universitas Negeri Malang, Faculty Economics and Business)

  • Habib Fitriana Azzahra

    (Universitas Negeri Malang, Faculty Economics and Business)

Abstract

ABSTRACT This study aims to investigate the relationship between self-control, impulse buying, and shopping lifestyle among Miniso visitors in Malang City. The research adopts a quantitative approach with descriptive and explanatory research methods. The sample consists of 220 respondents, divided into 110 adolescents aged 10-19 years and 110 adults aged over 19 years. Partial Least Square Structural Equation Modeling (PLS-SEM) analysis is used to test and analyze the direct and indirect effects of the independent variable (self-control) on the dependent variable (impulse buying) through the intervening variable (shopping lifestyle), as well as the moderating effect of age groups. The study findings indicate that Miniso visitors in Malang City exhibit very high self-control, with high levels of impulse buying and shopping lifestyle. Understanding these factors can assist retail business owners in formulating effective strategies to attract and retain consumers amidst intense market competition.

Suggested Citation

  • Titis Shinta Dhewi & Qowa’id Al Farodis & Habib Fitriana Azzahra, 2023. "Unlocking Impulse Buying: The Role of Self Control, Shopping Lifestyle, and Age in Purchase Decisions at Miniso," Advances in Economics, Business and Management Research, in: Ika Zutiasari & Dediek Tri Kurniawan (ed.), Proceedings of the BISTIC Business Innovation Sustainability and Technology International Conference (BISTIC 2023), pages 78-86, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-302-3_11
    DOI: 10.2991/978-94-6463-302-3_11
    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:978-94-6463-302-3_11. 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.