The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Research on Artificial Intelligence Customer Service on Consumer Attitude and Its Impact during Online Shopping
Open accessAbstract
Currently, AI customer service is gaining popularity at a high rate, with over 92% of online shoppers having experience with AI customer service. The question is: what attitudes do consumers have towards AI customer service? A randomly selected sample of 670 consumers was surveyed and the study found that 71.5% of consumers accept or at least do not resist AI customer service. The main reasons AI customer service is so popular are that it is fulltime responsive, absolutely neutral, more objective, and represents a future trend. Nevertheless, 28.5% of consumers are still resistant to AI chatbot, mainly because they are not as relevant, effective, and smooth as a human customer service agent. Besides, there are prevalent obstacles to seamlessly bridge AI chatbots with human agents. In terms of explicitly specified AI chatbots versus concealed AI chatbots, merchants should have them specified since consumers have strong antipathy with AI chatbots disguising as human agents. Furthermore, there are differences in attitudes towards AI customer service across age and educational background. Accordingly, we recommend that, in the context of the overall improvement of service quality, to slow down the pace of AI replacing human agents, to do so in a step-by-step and orderly manner, and to give consumers adequate choice for human agents versus AI chatbots. Finally, to fully promote AI customer service, it is an essential measure to increase its media coverage and publicity.
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“This increased efficiency is likely to increase consumers' evaluations of chatbot-based results as more fair and objective [70,71].”
From Consumer Responses to Generative AI Chatbots Versus Search Engines for Product Evaluation (2025) · cites this paper as [70]
Citations
Cites
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019) · Marketing Science · doi:10.1287/mksc.2019.1192 · Cited by 1,262 · cited 1×
“[5] AI-Driven Sales Automation: Using Chatbots to Boost Sales: Christian Hildebrand, Anouk Bergner.”
Method
Research works printed but not linked: 4
- Su, 2020, The rapid development of artificial intelligence customer service and “lack of human touch” bottleneck to breakthrough, New Industrial Economy, 01, 2095
- Wang, 2018, Key technologies of AI in customer service systems, Telecommunication Science, 12, 1000
- Hildebrand, 2019, AI-Driven Sales Automation: Using Chatbots to Boost Sales. [J], NIM Marketing Intelligence Review, 11, 36, 10.2478/nimmir-2019-0014 · DOI
- Kurachi, 2018, Ai chatbot to realize sophistication of customer contact points, Fujitsu Scientific & Technical Journal, 54, 2
Cited by
Sorted by citations
Consumer Responses to Generative AI Chatbots Versus Search Engines for Product Evaluation
Kim, S., & Priluck, R. (2025) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer20020093 · Cited by 20
Metadata
- Authors
- Li, C., Pan, R., Xin, H., & Deng, Z.
- Affiliations
- Virginia Tech (US)
- Inner Mongolia Agricultural University (CN)
- Sichuan University (CN)
- Venue
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Published
- 2020-06-01
- Volume
- 1575
- Issue
- 1
- Pages
- 012192
- ISSN
- 1742-6588 (ISSN-L)
- 1742-6596
- OpenAlex
- W3042946886
- Cited by
- 30
- References
- 1
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 8 · 2023: 4 · 2022: 2 · 2021: 2
- FWCI
- 0.76
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Physics Conference Series (publishedVersion, cc-by)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- AI in customer service, chatbots, consumer attitudes, online shopping, human-agent interaction, AI transparency, service quality
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