Alexa, what do we know about conversational commerce? Insights from a systematic literature review.
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Abstract Conversational agents are systems with human‐like features that can be deployed in service settings and are fast emerging as the future of online commerce. Considering the importance and proliferation of conversational commerce, it is opportune to take stock of the field's research from a bird's eye view to guide understanding of its current and future progress. In this regard, the goal of this study is to review the performance and intellectual structure of conversational commerce. To do so, this study conducts a comprehensive and systematic review of 722 publications on conversational commerce using the Scientific Procedures and Rationales for Systematic Literature Reviews protocol and a collection of bibliometric analysis techniques consisting of performance analysis and science mapping (e.g., content analysis, keyword co‐occurrence analysis, and bibliographic coupling). In doing so, this study reveals the performance (e.g., publication and citation trends, and top sources, publications, and authors) and the major theories and themes in the intellectual structure of the field. The study concludes with a conceptual framework depicting the constructs (e.g., antecedents, mediators, moderators, consequences, and enablers) of employing conversational agents for commerce and service delivery, as well as suggestions for its future research.
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Knewton's Adaptive Learning Platform uses AI technology to analyze students' learning data to understand students' learning needs and weaknesses, and generate personalized course content and teaching plans accordingly.
“For example, Knewton's Adaptive Learning Platform uses AI technology to analyze students' learning data, including learning speed, mastery of knowledge points, error rates, etc., to understand students' learning needs and weaknesses, and generate personalized course content and teaching plans accordingly (Lim et al., 2022).”
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Generative AI tools such as Bard, ChatGPT, and DALL-E are opening up new fields that will impact how humans learn, interact, and collaborate with each other.
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From Generative artificial intelligence empowers educational reform: current status, issues, and prospects (2023) · cites this paper as Lim et al., 2022
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“Conversational commerce bridges “the human–computer gap in online commerce by creating a humanized ecosystem where customers and technology-mediated brand representatives can chat and close deals” (Lim et al., 2022, p. 1132).”
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- Authors
- Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R.
- Affiliations
- Swinburne University of Technology Sarawak Campus (MY)
- Malaviya National Institute of Technology Jaipur (IN)
- Indian Institute of Management Mumbai (IN)
- Corresponding author
- Kumar, Satish
- Venue
- Psychology & Marketing
- Publisher
- Wiley
- Published
- 2022-03-08
- Volume
- 39
- Issue
- 6
- Pages
- 1129-1155
- ISSN
- 0742-6046 (ISSN-L)
- 1520-6793
- OpenAlex
- W4220991995
- Cited by
- 293
- References
- 187
- Citations by year
- 2026: 44 · 2025: 79 · 2024: 84 · 2023: 65 · 2022: 20 · 2021: 1
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Psychology and Marketing (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- conversational commerce, chatbots, e-commerce, service delivery, intellectual structure, research trends, conceptual framework, customer service automation, Amazon Alexa
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