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A Systematic Review on Consumer Adoption of AI-driven Chatbots

Kalindu Mithila Bandara Yatawara et al.

Vision: The Journal of Business Perspectives2025https://doi.org/10.1177/09722629251332349review
AJG 1ABDC C
Weight
0.44

What the paper says

This systematic literature review identifies and categorizes critical factors that affect consumer adoption of artificial intelligence (AI)-driven chatbots from 2017 to 2024, focusing on applications in e-commerce, healthcare, banking and education. A qualitative study was conducted using VOSviewer for bibliometric analysis of keyword co-occurrence and thematic analysis to identify four core themes: user experience, quality of interaction, technological background and behavioural characteristics. The key contribution of this study is the development of a new conceptual framework outlining the role of moderators such as anthropomorphism and gender in chatbot adoption. These findings provide critical improvements to the existing understanding of consumer adoption by highlighting interactions between user and technology-related factors. The results offer actionable advice for researchers and practitioners while contributing to a greater understanding of AI chatbot adoption by establishing a basis for future empirical studies. The findings have important implications for designing chatbots to optimize the user experience and quality of interaction, considering behavioural and technological nuances that will drive mainstream adoption in the e-commerce industry.

3 citations

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https://doi.org/https://doi.org/10.1177/09722629251332349

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@article{kalindu2025,
  title        = {{A Systematic Review on Consumer Adoption of AI-driven Chatbots}},
  author       = {Kalindu Mithila Bandara Yatawara et al.},
  journal      = {Vision: The Journal of Business Perspectives},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/09722629251332349},
}

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A Systematic Review on Consumer Adoption of AI-driven Chatbots

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.