 Modelling consumers’ acceptance for the click and collect serviceChristina Milioti, Katerina Pramatari and Ioanna Kelepouri Journal of Retailing and Consumer Services, 2020, vol. 56, issue C 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. Keywords: Click and collect service; e-commerce delivery; Consumer acceptance (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:56:y:2020:i:c:s0969698919304539 DOI: 10.1016/j.jretconser.2020.102149 Access Statistics for this article Journal of Retailing and Consumer Services is currently edited by Harry Timmermans More articles in Journal of Retailing and Consumer Services from Elsevier |
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