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Consumer characteristics and e-grocery services: the primacy of the primary shopper

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  • Leo Van Hove

    (Vrije Universiteit Brussel)

Abstract

The literature does not agree on the precise role of socio-demographic characteristics in the adoption of online grocery shopping. This methodological note reviews the literature and shows that the differences in empirical results can to a large extent be explained by the data that is used. In particular, what matters is whether or not the survey that is exploited was targeted at the household member primarily responsible for the grocery shopping. I show that studies that use a non-targeted survey erroneously find that women are keener to adopt e-grocery services, in that the gender gap is simply due to women’s role as homemakers. I also show that such studies tend to underestimate the impact of education and income.

Suggested Citation

  • Leo Van Hove, 2022. "Consumer characteristics and e-grocery services: the primacy of the primary shopper," Electronic Commerce Research, Springer, vol. 22(2), pages 241-266, June.
  • Handle: RePEc:spr:elcore:v:22:y:2022:i:2:d:10.1007_s10660-022-09551-x
    DOI: 10.1007/s10660-022-09551-x
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    References listed on IDEAS

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    1. Van Droogenbroeck, Ellen & Van Hove, Leo, 2020. "Intra-household task allocation in online grocery shopping: Together alone," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    2. Cervellon, Marie-Cécile & Sylvie, Jean & Ngobo, Paul-Valentin, 2015. "Shopping orientations as antecedents to channel choice in the French grocery multichannel landscape," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 31-51.
    3. Hiser, Jennifer & Nayga, Rodolfo M., Jr. & Capps, Oral, Jr., 1999. "An Exploratory Analysis Of Familiarity And Willingness To Use Online Food Shopping Services In A Local Area Of Texas," Journal of Food Distribution Research, Food Distribution Research Society, vol. 30(1), pages 1-13, March.
    4. Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
    5. James P. Smith & John J. McArdle & Robert Willis, 2010. "Financial Decision Making and Cognition in a Family Context," Economic Journal, Royal Economic Society, vol. 120(548), pages 363-380, November.
    6. Ellen Van Droogenbroeck & Léon Van Hove, 2021. "Adoption and usage of E-grocery shopping: A context-specific UTAUT2 model," ULB Institutional Repository 2013/324918, ULB -- Universite Libre de Bruxelles.
    7. Jensen, Kimberly L. & Yenerall, Jackie & Chen, Xuqi & Yu, T. Edward, 2021. "US Consumers’ Online Shopping Behaviors and Intentions During and After the COVID-19 Pandemic," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 53(3), pages 416-434, August.
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    12. Hood, Nick & Urquhart, Ryan & Newing, Andy & Heppenstall, Alison, 2020. "Sociodemographic and spatial disaggregation of e-commerce channel use in the grocery market in Great Britain," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
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    17. James P. Smith & John J. McArdle & Robert Willis, 2010. "Financial Decision Making and Cognition in a Family Context," Economic Journal, Royal Economic Society, vol. 120(548), pages 363-380, November.
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    4. Sawang, Sukanlaya & Lee, Chia-Chi & Chou, Cindy Yunhsin & Vighnesh, Nanjangud Vishwanath & Chandrashekar, Deepak, 2023. "Understanding post-pandemic market segmentation through perceived risk, behavioural intention, and emotional wellbeing of consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Van Hove, Leo, 2023. "Survey-based measurement of the adoption of grocery delivery services: A commentary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    6. Simoni F. Rohden & Lélis Balestrin Espartel, 2024. "Consumer reactions to technology in retail: choice uncertainty and reduced perceived control in decisions assisted by recommendation agents," Electronic Commerce Research, Springer, vol. 24(2), pages 901-923, June.

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