Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/145189
Registo completo
Campo DCValorIdioma
dc.creatorAna Torres
dc.creatorCatarina Delgado
dc.date.accessioned2024-05-09T23:12:50Z-
dc.date.available2024-05-09T23:12:50Z-
dc.date.issued2023
dc.identifier.othersigarra:591164
dc.identifier.urihttps://hdl.handle.net/10216/145189-
dc.description.abstract<jats:p>Chatbots are website artificial intelligence-based and automated customer support tools to improve the customer experience, to reduce costs, and to improve service quality. This study aims to understand and analyze the user-technology interaction and technology-engagement success measures to assess online customer engagement with chatbots and the impact on repurchase intention, within e-commerce websites. The sample data consists of 227 online consumer responses collected through an electronic survey. Only 165 respondents, which have used a chatbot to assist the online purchase process, are included in the effective sample. This research contributes to the digital marketing literature by complementing existing research exploring human-technology interactions, assessing how consumers interact with chatbot technology and how it affects customer engagement and behavioral outcomes within e-retail contexts. The study findings provide several challenges for managers. Finally, it discusses emerging trends in the digital marketing field, offering insights for future research avenues.</jats:p>
dc.language.isoeng
dc.relation.ispartofPromoting Organizational Performance Through 5G and Agile Marketing
dc.rightsrestrictedAccess
dc.titleAssessing Customer Interactions With Chatbots in Online Shopping Experiences
dc.typeCapítulo ou Parte de Livro
dc.contributor.uportoFaculdade de Economia
dc.identifier.doi10.4018/978-1-6684-5523-4.ch011
dc.identifier.authenticusP-00X-CS3
Aparece nas coleções:FEP - Capítulo ou Parte de Livro

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
591164.pdf
  Restricted Access
335.58 kBAdobe PDFVer/Abrir


Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.