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A customer value perspective to service experiences in restaurants

Author

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  • Yrjölä, Mika
  • Rintamäki, Timo
  • Saarijärvi, Hannu
  • Joensuu, Johanna
  • Kulkarni, Gauri

Abstract

Customer experience is an increasingly important construct in consumer services research and management. Prior research has analyzed restaurant experiences through attributes, such as food quality, but more attention is needed to understand what kind of value customers eventually perceive. This study introduces the customer value perspective to restaurant experience and connects quality attributes to value perceptions, as well as to behavioral intentions. Conceptually, the study combines the customer-perceived value perspective with more traditional models of service/restaurant experience. Using data from a large quantitative survey (n = 1533), this study introduces an integrative model for analyzing the antecedents, outcomes, and implications of restaurant experiences. Additionally, the model is validated by comparing data from two different restaurant settings: lunch and dining. Managerially, the study broadens managers' understanding of how to design superior experiences by shifting attention from restaurant attributes to customers’ perception of value resulting from these attributes.

Suggested Citation

  • Yrjölä, Mika & Rintamäki, Timo & Saarijärvi, Hannu & Joensuu, Johanna & Kulkarni, Gauri, 2019. "A customer value perspective to service experiences in restaurants," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 91-101.
    • Handle: RePEc:eee:joreco:v:51:y:2019:i:c:p:91-101
    DOI: 10.1016/j.jretconser.2019.05.030
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    References listed on IDEAS

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    Cited by:

    1. Seyitoğlu, Faruk & Ivanov, Stanislav Hristov, 2020. "Understanding the Robotic Restaurant Experience: A Multiple Case Study," SocArXiv e6rfa, Center for Open Science.
    2. Ham, Sunny & Lee, Kai-Sean & Koo, Bonhak & Kim, Seoyoung & Moon, Hyeyoung & Han, Heesup, 2021. "The rise of the grocerant: Patrons’ in-store dining experiences and consumption behaviors at grocery retail stores," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    3. Lee, Wei-Long & Liu, Chih-Hsing & Tseng, Tzu-Wen, 2022. "The multiple effects of service innovation and quality on transitional and electronic word-of-mouth in predicting customer behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    4. Chakraborty, Debarun & Siddiqui, Aaliyah & Siddiqui, Mujahid & Rana, Nripendra P. & Dash, Ganesh, 2022. "Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Seyitoğlu, Faruk & Ivanov, Stanislav & Atsız, Ozan & Çifçi, İbrahim, 2021. "Robots as restaurant employees - A double-barrelled detective story," Technology in Society, Elsevier, vol. 67(C).
    6. Zhao, Meina & Wang, Xuqi, 2021. "Perception value of product-service systems: Neural effects of service experience and customer knowledge," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).

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