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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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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. |
format | Online Article Text |
id | pubmed-7463275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
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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