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The Influence of Atmospheric Cues on Impulsive Buying Behavior: Exploring the Roles of Utilitarian and Hedonic Browsing

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Listed:
  • Mehmet Ozan Karahan

    (EÅŸme Vocational School, UÅŸak University)

  • Fatih Åžahin

    (Gönen Vocational School, Bandırma Onyedi Eylül University)

Abstract

Purpose – This research study examines the impact of atmospheric cues, such as content, design, and navigation, on impulsive buying behavior, focusing on the mediating roles of utilitarian and hedonic browsing. Design/Methodology/Approach – The study utilized a quantitative method approach, employing SPSS and AMOS for data analysis. The convenience sampling method was used to select 363 participants as the target population, consisting of individuals 18-65 years old living in Turkey who had experience using two prominent e-store platforms. Data analysis was conducted using both descriptive and inferential statistics to describe the demographic profile and structural equation modelling (SEM) to examine the causal relationships between variables. Findings and Implications – Results showed that design and navigation features positively influence impulsive buying, but they did not significantly impact utilitarian behavior. Atmospheric features affected impulsive buying directly and indirectly. Content cues positively influenced utilitarian browsing but did not significantly affect hedonic browsing. Hedonic browsing mediated the relationship between design and navigation cues and impulsive buying. These findings suggest that e-store platforms should strategically design e-stores with visually appealing designs, including vibrant colors, attractive images, and easy navigation to promote both hedonic browsing and attract impulsive purchases. To encourage more shopping time, e-store managers should also focus on navigation and personalized recommendations while avoiding overwhelming customers with excessive information. Limitation – The study’s limitations include reliance on self-reported data, which may be subject to bias, and the use of a convenience sample that may not fully represent the diversity of online shoppers. Further research should employ longitudinal studies and a broader demographic to validate these findings further. Originality – This research study contributes to literature by integrating the concepts of atmospheric cues, hedonistic and utilitarian browsing, and their combined effects on online impulsive buying behavior. It offers a nuanced understanding of how different browsing motivations mediate the impact of online atmospherics on consumer behavior, providing practical insights for e-store design strategies.

Suggested Citation

  • Mehmet Ozan Karahan & Fatih Åžahin, 2025. "The Influence of Atmospheric Cues on Impulsive Buying Behavior: Exploring the Roles of Utilitarian and Hedonic Browsing," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 37(1), pages 73-194.
  • Handle: RePEc:zag:market:v:37:y:2025:i:1:p:73-94
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    References listed on IDEAS

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    1. Zheng, Xiabing & Men, Jinqi & Yang, Feng & Gong, Xiuyuan, 2019. "Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing," International Journal of Information Management, Elsevier, vol. 48(C), pages 151-160.
    2. Fan, Liu & Wang, Yawei & Mou, Jian, 2024. "Enjoy to read and enjoy to shop: An investigation on the impact of product information presentation on purchase intention in digital content marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    3. Gordon W. Cheung & Helena D. Cooper-Thomas & Rebecca S. Lau & Linda C. Wang, 2024. "Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations," Asia Pacific Journal of Management, Springer, vol. 41(2), pages 745-783, June.
    4. Robert Stefko & Radovan Bacik & Richard Fedorko & Maria Olearova, 2022. "Gender-generation characteristic in relation to the customer behavior and purchasing process in terms of mobile marketing," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 181-223, March.
    5. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    6. Wanmo Koo & Hyejune Park, 2017. "Critical Atmospheric Cues in Designing Online Stores: The Case of Amazon.com," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 9(1), pages 37-45, February.
    7. Ron Johnston & Kelvyn Jones & David Manley, 2018. "Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1957-1976, July.
    8. Park, Eun Joo & Kim, Eun Young & Funches, Venessa Martin & Foxx, William, 2012. "Apparel product attributes, web browsing, and e-impulse buying on shopping websites," Journal of Business Research, Elsevier, vol. 65(11), pages 1583-1589.
    9. Goel, Pooja & Parayitam, Satyanarayana & Sharma, Anuj & Rana, Nripendra P. & Dwivedi, Yogesh K, 2022. "A moderated mediation model for e-impulse buying tendency, customer satisfaction and intention to continue e-shopping," Journal of Business Research, Elsevier, vol. 142(C), pages 1-16.
    10. Setyani, Virda & Zhu, Yu-Qian & Hidayanto, Achmad Nizar & Sandhyaduhita, Puspa Indahati & Hsiao, Bo, 2019. "Exploring the psychological mechanisms from personalized advertisements to urge to buy impulsively on social media," International Journal of Information Management, Elsevier, vol. 48(C), pages 96-107.
    11. Kumar, Vikas & Ayodeji, Ogunmola Gabriel, 2021. "E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    12. Dailey, Lynn, 2004. "Navigational web atmospherics: Explaining the influence of restrictive navigation cues," Journal of Business Research, Elsevier, vol. 57(7), pages 795-803, July.
    13. Gordon W. Cheung & Helena D. Cooper‑Thomas & Rebecca S. Lau & Linda C. Wang, 2024. "Correction to: Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations," Asia Pacific Journal of Management, Springer, vol. 41(2), pages 785-787, June.
    14. Kimiagari, Salman & Asadi Malafe, Neda Sharifi, 2021. "The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    15. Sharma, Piyush & Sivakumaran, Bharadhwaj & Marshall, Roger, 2010. "Impulse buying and variety seeking: A trait-correlates perspective," Journal of Business Research, Elsevier, vol. 63(3), pages 276-283, March.
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