Customer experiences in the age of artificial intelligence. (January 2021)
- Record Type:
- Journal Article
- Title:
- Customer experiences in the age of artificial intelligence. (January 2021)
- Main Title:
- Customer experiences in the age of artificial intelligence
- Authors:
- Ameen, Nisreen
Tarhini, Ali
Reppel, Alexander
Anand, Amitabh - Abstract:
- Abstract: 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. Highlights: Artificial intelligence (AI) is changing customer experiences. The study develops a model drawing on trust-commitment theory and service quality model. Trust and perceived sacrifice play significant mediating role. Relationship commitment has a significant effect onAbstract: 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. Highlights: Artificial intelligence (AI) is changing customer experiences. The study develops a model drawing on trust-commitment theory and service quality model. Trust and perceived sacrifice play significant mediating role. Relationship commitment has a significant effect on AI-enabled customer experience. Perceived convenience and personalisation play a significant role in AI-enabled experiences. … (more)
- Is Part Of:
- Computers in human behavior. Volume 114(2021)
- Journal:
- Computers in human behavior
- Issue:
- Volume 114(2021)
- Issue Display:
- Volume 114, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 114
- Issue:
- 2021
- Issue Sort Value:
- 2021-0114-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Artificial intelligence -- Customer experience -- Trust-commitment theory -- trust -- Beauty brands -- COVID 19
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2020.106548 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14623.xml