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The Impact of AI on Online Customer Experience and Consumer Behaviour. An Empirical Investigation of the Impact of Artificial Intelligence on Online Customer Experience and Consumer Behaviour in a Digital Marketing and Online Retail Context

Kronemann, Bianca
Publication Date
2022
End of Embargo
Supervisor
Mahroof, Kamran
Rana, Nripendra P.
Weerakkody, Vishanth J.P.
Keywords
Artificial Intelligence (AI), Anthropomorphism, Consumer behaviour, Conversational agents, Online customer experience, Para-social interaction, Social Response Theory (SRT), Digital marketing
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Creative Commons License
The University of Bradford theses are licenced under a Creative Commons Licence.
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Accepted for publication
Institution
University of Bradford
Department
Faculty of Management, Law and Social Science
Awarded
2022
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PhD Thesis
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Abstract
Artificial Intelligence (AI) is adopted fast and wide across consumer industries and digital marketing. This new technology has the potential to enhance online customer experience and outcomes of customer experience. However, research relating to the impact of AI is still developing and empirical evidence sparse. Taking a consumercentred approach and by adopting Social Response Theory as theoretical lens, this research addresses an overall research question pertaining to the implications of online customer experience with AI on consumer behaviour. A quantitative research strategy with positivist approach is adopted to gather a large sample (n= 489) of online consumers who have previously interacted with AI-enabled technology. The collected data is analysed statistically utilising Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM). Empirical findings show strong positive effects of anthropomorphism of AI, para-social interaction with AI, and performance expectancy of AI on all three customer experience dimensions of informativeness, entertainment and social presence. Additionally, there is strong statistical support for the positive effect of informativeness and social presence on continued purchase intentions (β= .379 and β= .315), while the effects of entertainment are less strong. The mediating effects of customer experience have been assessed, highlighting social presence as most important mediator. This research contributes to knowledge by extending previous customer experience theory and quantifying the influence of online customer experience with AI on purchase intentions and eWOM. The theoretical insights also translate into direct implications for marketing practice relating to the design, integration, and implementation of more consumer- and outcome-oriented AI applications.
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http://hdl.handle.net/10454/19777
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Thesis
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PhD
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