Determinants of impulse buying behavior: The mediating role of positive emotions of minimarket retail consumers in Indonesia

  • 462 Views
  • 169 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Impulse buying is characterized by quick and unplanned purchasing decisions often triggered by perceived necessity or attractive offers. Minimarkets operate on a smaller scale than hypermarkets and supermarkets but significantly influence consumer behavior, mainly because they use various promotional strategies. This study aims to determine the effect of price discounts and store atmosphere on impulse buying behavior through positive emotions. This study was conducted in Medan, North Sumatra, Indonesia, using a non-probability sampling approach; an online questionnaire was used to collect data from 180 participants through Google Forms. The data were analyzed using structural equation modeling (SEM) and partial least square (PLS) estimation methods. The results showed that price discounts and store atmosphere significantly affect positive emotions and impulse buying (p < 0.05). Positive emotions significantly affect impulse buying (p < 0.05). In addition, price discounts and store atmosphere affect impulse buying through positive emotions (p < 0.05). This study uncovers the complex mechanisms underlying consumer responses in the convenience store landscape, providing important insights for retailers and marketers in navigating the evolving retail terrain.

Acknowledgment
This research was funded by the Revenue and Expenditure Budget of the Universitas Muhammadiyah Sumatera Utara following the assignment agreement letter in the context of implementing the Basic Research Program of the Revenue and Expenditure Budget of the Muhammadiyah University of North Sumatra for the 2023 Fiscal Year, Number: 94/II.3- AU /UMSU-LP2M/C/2023.

view full abstract hide full abstract
    • Figure 1. Research framework
    • Table 1. Cross-loadings
    • Table 2. Average variance extracted (AVE)
    • Table 3. Composite reliability and Cronbach’s alpha
    • Table 4. Heterotrait-monotrait ratio (HTMT)
    • Table 5. Fornell-Larcker criterion
    • Table 6. R-square
    • Table 7. Direct and indirect effects
    • Conceptualization
      Nel Arianty
    • Investigation
      Nel Arianty, Willy Yusnandar, Muhammad Arif
    • Methodology
      Nel Arianty, Dedek Kurniawan Gultom
    • Project administration
      Nel Arianty, Willy Yusnandar
    • Supervision
      Nel Arianty, Dedek Kurniawan Gultom
    • Writing – original draft
      Nel Arianty, Dedek Kurniawan Gultom
    • Data curation
      Dedek Kurniawan Gultom, Willy Yusnandar, Muhammad Arif
    • Formal Analysis
      Dedek Kurniawan Gultom, Muhammad Arif
    • Visualization
      Dedek Kurniawan Gultom, Willy Yusnandar, Muhammad Arif
    • Validation
      Willy Yusnandar, Muhammad Arif
    • Writing – review & editing
      Willy Yusnandar, Muhammad Arif