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Customer experiences in the age of artificial intelligence

Artificial intelligence (AI) is revolutionising the way customers interact with brands. There is a lack of empirical research into AI-enabled customer experiences. Hence, this study aims to analyse how the integration of AI in shopping can lead to an improved AI-enabled customer experience. We propo...

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Detalles Bibliográficos
Autores principales: Ameen, Nisreen, Tarhini, Ali, Reppel, Alexander, Anand, Amitabh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463275/
https://www.ncbi.nlm.nih.gov/pubmed/32905175
http://dx.doi.org/10.1016/j.chb.2020.106548
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author Ameen, Nisreen
Tarhini, Ali
Reppel, Alexander
Anand, Amitabh
author_facet Ameen, Nisreen
Tarhini, Ali
Reppel, Alexander
Anand, Amitabh
author_sort Ameen, Nisreen
collection PubMed
description Artificial intelligence (AI) is revolutionising the way customers interact with brands. There is a lack of empirical research into AI-enabled customer experiences. Hence, this study aims to analyse how the integration of AI in shopping can lead to an improved AI-enabled customer experience. We propose a theoretical model drawing on the trust-commitment theory and service quality model. An online survey was distributed to customers who have used an AI- enabled service offered by a beauty brand. A total of 434 responses were analysed using partial least squares-structural equation modelling. The findings indicate the significant role of trust and perceived sacrifice as factors mediating the effects of perceived convenience, personalisation and AI-enabled service quality. The findings also reveal the significant effect of relationship commitment on AI-enabled customer experience. This study contributes to the existing literature by revealing the mediating effects of trust and perceived sacrifice and the direct effect of relationship commitment on AI-enabled customer experience. In addition, the study has practical implications for retailers deploying AI in services offered to their customers.
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spelling pubmed-74632752020-09-02 Customer experiences in the age of artificial intelligence Ameen, Nisreen Tarhini, Ali Reppel, Alexander Anand, Amitabh Comput Human Behav Article Artificial intelligence (AI) is revolutionising the way customers interact with brands. There is a lack of empirical research into AI-enabled customer experiences. Hence, this study aims to analyse how the integration of AI in shopping can lead to an improved AI-enabled customer experience. We propose a theoretical model drawing on the trust-commitment theory and service quality model. An online survey was distributed to customers who have used an AI- enabled service offered by a beauty brand. A total of 434 responses were analysed using partial least squares-structural equation modelling. The findings indicate the significant role of trust and perceived sacrifice as factors mediating the effects of perceived convenience, personalisation and AI-enabled service quality. The findings also reveal the significant effect of relationship commitment on AI-enabled customer experience. This study contributes to the existing literature by revealing the mediating effects of trust and perceived sacrifice and the direct effect of relationship commitment on AI-enabled customer experience. In addition, the study has practical implications for retailers deploying AI in services offered to their customers. Elsevier Ltd. 2021-01 2020-09-02 /pmc/articles/PMC7463275/ /pubmed/32905175 http://dx.doi.org/10.1016/j.chb.2020.106548 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ameen, Nisreen
Tarhini, Ali
Reppel, Alexander
Anand, Amitabh
Customer experiences in the age of artificial intelligence
title Customer experiences in the age of artificial intelligence
title_full Customer experiences in the age of artificial intelligence
title_fullStr Customer experiences in the age of artificial intelligence
title_full_unstemmed Customer experiences in the age of artificial intelligence
title_short Customer experiences in the age of artificial intelligence
title_sort customer experiences in the age of artificial intelligence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463275/
https://www.ncbi.nlm.nih.gov/pubmed/32905175
http://dx.doi.org/10.1016/j.chb.2020.106548
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