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Measuring customers benefits of click and collect

Author

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  • Magali Jara

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

  • Dany Vyt

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Olivier Mevel

    (UBO - Université de Brest)

  • Thierry Morvan

    (UR - Université de Rennes, IUT de Saint Malo - IUT de Saint Malo - UR - Université de Rennes)

  • Nélida Morvan

    (UR - Université de Rennes, IUT de Saint Malo - IUT de Saint Malo - UR - Université de Rennes)

Abstract

PurposeClick and collect (or grocery pickup) represents a growing part of the channel strategy of traditional off-line retailers. The aim of this study is to understand how customers develop their perceptions toward this new channel. In other words, what are the key factors explaining the long-term value creation for each "click and collect" system depending on consumers' profiles?Design/methodology/approachOn the basis of a quantitative survey of 479 respondents, this research uses confirmatory analyses based on the partial least square path modeling.FindingsBased on the structural model, the study finds that the customers' relations, website and pickup station are the most important factors creating value for customers whatever the internet grocery shopping model. The global conceptual model has been implemented under many variations to test the age effect and the kind of click and collect model. It is made evident that customers' benefits vary regarding the kind of click and collect model and the age of customers.Research limitations/implicationsThis research allows a better understanding of the performance of the click and collect system by looking at the key factors that maximize the customers' value and those that decrease it. Results precisely show variations of those factors according to the customer's profile and the click and collect model.Originality/valueThis quantitative paper studies customer behaviors toward their usual retailer and their relationship with them. To do so, segmented approaches of the causal model are retained to provide specific recommendations.

Suggested Citation

  • Magali Jara & Dany Vyt & Olivier Mevel & Thierry Morvan & Nélida Morvan, 2018. "Measuring customers benefits of click and collect," Post-Print halshs-01806403, HAL.
  • Handle: RePEc:hal:journl:halshs-01806403
    DOI: 10.1108/JSM-05-2017-0158
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01806403
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    Cited by:

    1. Martina Zámková & Stanislav Rojík & Martin Prokop & Simona Činčalová & Radek Stolín, 2023. "Consumers’ Behavior in the Field of Organic Agriculture and Food Products during the COVID-19 Pandemic in the Czech Republic: Focus on a Comparison of Hyper-, Super- and Farmers’ Markets and Direct Pu," Agriculture, MDPI, vol. 13(4), pages 1-14, March.
    2. 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.
    3. Mitxel Cotarelo & Teresa Fayos & Haydeé Calderón & Alejandro Mollá, 2021. "Omni-Channel Intensity and Shopping Value as Key Drivers of Customer Satisfaction and Loyalty," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    4. Sharjana Alam Shaily, 2021. "Data-Privacy Concerns and Its Influence on Consumer Purchasing Intention in Bangladesh and India," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 13(1), pages 1-26, February.
    5. 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.
    6. Ellen Van Droogenbroeck & Leo Van Hove, 2021. "Adoption and Usage of E-Grocery Shopping: A Context-Specific UTAUT2 Model," Sustainability, MDPI, vol. 13(8), pages 1-27, April.
    7. 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).
    8. Martina Zámková & Stanislav Rojík & Martin Prokop & Simona Činčalová & Radek Stolín, 2022. "Czech Consumers’ Preference for Organic Products in Online Grocery Stores during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    9. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    10. Otto Bartok & Vratislav Kozák & Radka Bauerová, 2021. "Online grocery shopping: the customers´ perspective in the Czech Republic," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(3), pages 679-695, September.
    11. Patrick Klein & Bastian Popp, 2022. "Last-Mile Delivery Methods in E-Commerce: Does Perceived Sustainability Matter for Consumer Acceptance and Usage?," Sustainability, MDPI, vol. 14(24), pages 1-27, December.
    12. Alessio Faccia & Corlise Liesl Le Roux & Vishal Pandey, 2023. "Innovation and E-Commerce Models, the Technology Catalysts for Sustainable Development: The Emirate of Dubai Case Study," Sustainability, MDPI, vol. 15(4), pages 1-29, February.
    13. Yeonjoo Lee & Sunmee Choi & Joy M. Field, 2020. "Development and validation of the pick-up service quality scale of the buy-online-pick-up-in-store service," Operations Management Research, Springer, vol. 13(3), pages 218-232, December.
    14. 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).
    15. Kamarin Merritt & Shichao Zhao, 2020. "An Investigation of What Factors Determine the Way in Which Customer Satisfaction Is Increased through Omni-Channel Marketing in Retail," Administrative Sciences, MDPI, vol. 10(4), pages 1-24, October.
    16. Tássia Faria de Assis & Victor Hugo Souza de Abreu & Mariane Gonzalez da Costa & Marcio de Almeida D’Agosto, 2022. "Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
    17. Mar Vazquez-Noguerol & Jose A. Comesaña-Benavides & Sara Riveiro-Sanroman & J. Carlos Prado-Prado, 2022. "A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1369-1402, December.

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    Keywords

    Multi-channel strategy; Grocery pickup; Structural equations modeling; Click and collect; Confirmatory analyses;
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