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Servicescape irritants and customer satisfaction: The moderating role of shopping motives and involvement

Author

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  • Nathalie Demoulin

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Kim Willems

Abstract

This study investigates the effect of the servicescape's ambient, design, and social factors on customer irritation and satisfaction, focusing particularly on the moderating effects of shopping motives and involvement. Across four retail sectors with variations in involvement (i.e., high vs. low) and shopping motives (i.e., utilitarian or hedonic), consumer surveys were conducted at the exits of grocery, electrical appliances, home decoration, and fashion retailing stores (n = 669). SmartPLS analyses reveal that poorly managed social servicescape factors are the most irritating, and customers' irritation in turn decreases satisfaction, particularly in high-involvement settings. In low-involvement settings, design elements matter relatively more. Furthermore, while social factors prevail as drivers of irritation in utilitarian settings, ambient elements matter more in hedonic contexts. This study is one of the few to focus on servicescape-induced negative affect, allowing managers to prioritize atmospherics in their quest to minimize customer irritation, depending on the particular service sector.

Suggested Citation

  • Nathalie Demoulin & Kim Willems, 2019. "Servicescape irritants and customer satisfaction: The moderating role of shopping motives and involvement," Post-Print hal-02509395, HAL.
    • Handle: RePEc:hal:journl:hal-02509395
    DOI: 10.1016/j.jbusres.2019.07.004
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    5. Ruan, Yanya & Mezei, József, 2022. "When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    6. Li Xiong & Chengwen Wang & Zhaoran Xu, 2022. "Supply and demand matching model of P2P sharing accommodation platforms considering fairness," Electronic Commerce Research, Springer, vol. 22(3), pages 951-978, September.
    7. Liu-Thompkins, Yuping & Khoshghadam, Leila & Attar Shoushtari, Arjang & Zal, Saeed, 2022. "What drives retailer loyalty? A meta-analysis of the role of cognitive, affective, and social factors across five decades," Journal of Retailing, Elsevier, vol. 98(1), pages 92-110.
    8. Heesup Han & Linda Heejung Lho & Antonio Ariza-Montes & Kyung-Sik Lee & Hyungshin Baek & Luis Araya-Castillo, 2020. "Do Ambient Conditions (Air Quality, Noise Level and Temperature) and Image Congruity Matter for Boosting Customer Approach Behaviors in the FSC Sector?," Sustainability, MDPI, vol. 12(24), pages 1-14, December.
    9. Willems, Kim, 2022. "Brand personality appeal in retailing: Comparing fashion- and grocery retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    10. Kumar, Avinash & Chakraborty, Shibashish & Bala, Pradip Kumar, 2023. "Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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