Cited by 293AI in Service InteractionsDigital Marketing and Social MediaTechnology Adoption and User Behaviour

Alexa, what do we know about conversational commerce? Insights from a systematic literature review.

Open access
Lim, Weng Marc, Kumar, Satish, Verma, Sanjeev, Chaturvedi, Rijul·2022·Psychology & Marketing

Abstract

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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Registry

Crossref · 10.1002/mar.21654

Cites

184 of 184 references verified0 citation errors · 0 not checkable

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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).”
  • 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.

    “Generative AI tools such as Bard, Chat GPT, and DALL-E are opening up new fields that will impact how humans learn, interact, and collaborate with each other (Lim et al., 2022).”

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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
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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