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E-Groceries: A Channel Choice Analysis in Shanghai

Author

Listed:
  • Valerio Gatta

    (Transport Research Lab (TRElab), Roma Tre University, Via Gabriello Chiabrera 199, 00145 Rome, Italy)

  • Edoardo Marcucci

    (Transport Research Lab (TRElab), Roma Tre University, Via Gabriello Chiabrera 199, 00145 Rome, Italy
    Department of Logistics, Molde University College, P.O. Box 2110, 6402 Molde, Norway)

  • Ila Maltese

    (Transport Research Lab (TRElab), Roma Tre University, Via Gabriello Chiabrera 199, 00145 Rome, Italy)

  • Gabriele Iannaccone

    (Transport Research Lab (TRElab), Roma Tre University, Via Gabriello Chiabrera 199, 00145 Rome, Italy)

  • Jiarui Fan

    (Transport Research Lab (TRElab), Roma Tre University, Via Gabriello Chiabrera 199, 00145 Rome, Italy)

Abstract

E-grocery is becoming more and more popular, involving both pure e-commerce players and physical stores in its development and sales. As a consequence, the last mile delivery model has been heavily modified, with ambiguous final impact on the environment. This paper identifies the key elements germane to e-grocery (demand and supply), discusses e-grocery development and investigates the challenges ahead. In more detail, it presents the results of a stated preference survey on consumers’ channel choices for the grocery market. The survey was carried out in Shanghai (China) in order to investigate different purchase attributes, such as product and delivery service price, product range, lead time, time window and travel time. The paper identifies heterogeneous reactions to alternative service configurations, which allows to estimate market shares for e-grocery, with the in-store option as a reference. Policy implications and operational solutions to improve the sustainability of this renewed last mile delivery model are thus proposed.

Suggested Citation

  • Valerio Gatta & Edoardo Marcucci & Ila Maltese & Gabriele Iannaccone & Jiarui Fan, 2021. "E-Groceries: A Channel Choice Analysis in Shanghai," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3625-:d:523528
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    References listed on IDEAS

    as
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    Cited by:

    1. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    2. Maltese, Ila & Le Pira, Michela & Marcucci, Edoardo & Gatta, Valerio & Evangelinos, Christos, 2021. "Grocery or @grocery: A stated preference investigation in Rome and Milan," Research in Transportation Economics, Elsevier, vol. 87(C).
    3. Vyt, Dany & Jara, Magali & Mevel, Olivier & Morvan, Thierry & Morvan, Nélida, 2022. "The impact of convenience in a click and collect retail setting: A consumer-based approach," International Journal of Production Economics, Elsevier, vol. 248(C).
    4. Dany Vyt & Magali Jara & Olivier Mevel & Thierry Morvan & Nélida Morvan, 2022. "The impact of convenience in a click and collect retail setting: A consumer-based approach," Post-Print halshs-03624658, HAL.

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