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Analysis of critical factors affecting the final decision-making for online grocery shopping

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  • Magalhães, David José Ahouagi Vaz de

Abstract

This study focuses on the importance of factors that both strongly impact logistics requirements and influence the final consumer decision for online grocery shopping. A stated preference survey was performed in Belo Horizonte, Brazil, using the following attributes: lead time, order fill rate and delivery-service price. Age and gender of interviewees were also considered in this decision-making process. The sample was composed of 222 interviewees. Mixed Logit models and Decision Trees were used to analyze the data and their interactions. Order Fill Rate was found to be the most important attribute. Failure to satisfactorily fulfill the order at the moment of shopping can significantly compromise e-groceries. Some interactions among the variables, such as between order fill rate and delivery-service price, have also led to interesting conclusions that should be taken into account by the grocer when planning special offers. Short lead times do not seem to be a very important priority for regular e-grocery purchasing. This research approach combines two statistical methods to better understand consumer behavior concerning e-grocery, in addition to providing insights for grocery retailers on the importance of some attributes for the effectiveness of e-grocery and their consequences on business logistics, which are particularly challenging during pandemics.

Suggested Citation

  • Magalhães, David José Ahouagi Vaz de, 2021. "Analysis of critical factors affecting the final decision-making for online grocery shopping," Research in Transportation Economics, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:retrec:v:87:y:2021:i:c:s0739885921000603
    DOI: 10.1016/j.retrec.2021.101088
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    1. Stacy A. Voccia & Ann Melissa Campbell & Barrett W. Thomas, 2019. "The Same-Day Delivery Problem for Online Purchases," Service Science, INFORMS, vol. 53(1), pages 167-184, February.
    2. Sunil Chopra, 2016. "How omni-channel can be the future of retailing," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(2), pages 135-144, June.
    3. Juan Carlos Martín & Francesca Pagliara & Concepción Román, 2019. "The Research Topics on E-Grocery: Trends and Existing Gaps," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    4. Patricia Mokhtarian, 2004. "A conceptual analysis of the transportation impacts of B2C e-commerce," Transportation, Springer, vol. 31(3), pages 257-284, August.
    5. Goethals, Frank & Leclercq-Vandelannoitte, Aurélie & Tütüncü, Yazgi, 2012. "French consumers' perceptions of the unattended delivery model for e-grocery retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 133-139.
    6. Michele D. Simoni & Edoardo Marcucci & Valerio Gatta & Christian G. Claudel, 0. "Potential last-mile impacts of crowdshipping services: a simulation-based evaluation," Transportation, Springer, vol. 0, pages 1-22.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    8. Leonardo Salvatore Alaimo & Mariantonietta Fiore & Antonino Galati, 2020. "How the Covid-19 Pandemic Is Changing Online Food Shopping Human Behaviour in Italy," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    9. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    10. Niels Agatz & Ann Campbell & Moritz Fleischmann & Martin Savelsbergh, 2011. "Time Slot Management in Attended Home Delivery," Transportation Science, INFORMS, vol. 45(3), pages 435-449, August.
    11. Comi, Antonio, 2020. "A modelling framework to forecast urban goods flows," Research in Transportation Economics, Elsevier, vol. 80(C).
    12. Chopra, Sunil, 2003. "Designing the distribution network in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(2), pages 123-140, March.
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    1. Aidin Salamzadeh & Pejman Ebrahimi & Maryam Soleimani & Maria Fekete-Farkas, 2022. "Grocery Apps and Consumer Purchase Behavior: Application of Gaussian Mixture Model and Multi-Layer Perceptron Algorithm," JRFM, MDPI, vol. 15(10), pages 1-16, September.

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    More about this item

    Keywords

    Logit model; e-commerce; e-grocery; Nonparametric methods; Home delivery; Customer behavior; Online grocery shopping;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L87 - Industrial Organization - - Industry Studies: Services - - - Postal and Delivery Services
    • D10 - Microeconomics - - Household Behavior - - - General

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