Modelling consumers’ acceptance for the click and collect service |
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| Affiliation: | 1. IGR-IAE, Graduate School of Management, University of Rennes 1, Rennes Cedex, France;2. IUT of Saint-Nazaire, University of Nantes, Nantes, France;1. Universidade Federal de Minas Gerais (UFMG), Avenue Antônio Carlos, 6627, Belo Horizonte, Minas Gerais, 31.270-901, Brazil;2. Institute for Transport Studies (ITS), 34-40 University Road, University of Leeds, Leeds, LS2 9JT, United Kingdom;3. IFSTTAR – Université Paris-Est, 14-20 Boulevard Newton, Cité Descartes, 77447 Marné la Vallée cedex 2, France;4. Centro Federal de Educação Tecnológica de Minas Gerais (CEFET-MG), Transportation Engineering Department, Avenue Amazonas, 5.253, Belo Horizonte, Minas Gerais, 30.421-169, Brazil |
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| Abstract: | This study investigates possibilities for developing a click and collect service in the context of e-commerce and attempts to identify the consumer characteristics that determine the acceptance of this service. Data of 285 e-commerce consumers were collected through an online questionnaire using banners uploaded in seven online retailers' sites. Binary logit models are developed to analyze the data and relate consumer characteristics to their intention to use and pay for the click and collect service. Perceived environmental contribution of the click and collect service, perceived time pressure, car use in the city center and frequency of online shopping significantly affect consumers’ intention to use the service. The model results provide information that can be used to choose location points and design marketing and pricing policies that will make the click and collect service attractive to customers. |
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| Keywords: | Click and collect service e-commerce delivery Consumer acceptance |
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