The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
AI Customer Service: Task Complexity, Problem-Solving Ability, and Usage Intention
Open accessAbstract
Artificial intelligence (AI) in the context of customer service, we define as a technology-enabled system for evaluating real-time service scenarios using data collected from digital and/or physical sources in order to provide personalised recommendations, alternatives, and solutions to customers’ enquiries or problems, even very complex ones. We examined, in a banking services context, whether consumers preferred AI or Human online customer service applications using an experimental design across three field-based experiments. The results show that, in the case of low-complexity tasks, consumers considered the problem-solving ability of AI to be greater than that of human customer service and were more likely to use AI while, conversely, for high-complexity tasks, they viewed human customer service as superior and were more likely to use it than AI. Moreover, we found that perceived problem-solving ability mediated the effects of customers’ service usage intentions (i.e., their preference for AI vs. Human) with task complexity serving as a boundary condition. Here we discuss our research and the results and conclude by offering practical suggestions for banks seeking to reach customers and engage with them more effectively by leveraging the distinctive features of AI customer service.
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Cited by
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Alabed, A., Javornik, A., & Gregory-Smith, D. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121786 · Cited by 233
Virtual agents and flow experience: an empirical examination of AI-powered chatbots
Baabdullah, A. M., Alalwan, A. A., Algharabat, R. S., Metri, B., & Rana, N. P. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121772 · Cited by 171
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Metadata
- Authors
- Xu, Y., Shieh, C.-H., van Esch, P., & Ling, I.-L.
- Venue
- Australasian Marketing Journal
- Publisher
- SAGE Publications
- Published
- 2020-11
- Volume
- 28
- Issue
- 4
- Pages
- 189-199
- ISSN
- 1441-3582 (ISSN-L)
- 1839-3349
- OpenAlex
- W3026650415
- Cited by
- 346
- References
- 69
- FWCI
- 11.37
- Type
- journal article
- Language
- en
- Open access
- green
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