Artificial intelligence empowered conversational agents: A systematic literature review and research agenda
Разговорные агенты на основе искусственного интеллекта: систематический обзор литературы и программа исследований
2023-03-21
SCID: 54.1/k3m69ntx
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bibliographic couplingconsumer trustconversational agentsnatural language processingsystematic literature review
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Abstract (AI)
Consumer research on conversational agents (CAs) has been growing. To illustrate and map out research in this field, we conducted a systematic literature review (SLR) of published work indexed in the Clarivate Web of Science and Elsevier Scopus databases. Four dominant topical areas were identified through bibliographic coupling. They are 1) consumers’ trust in CAs; 2) Natural Language Processing (NLP) in developing and designing CAs; 3) communication with CAs; 4) impact of CAs on value creation and the value of CAs for business. We leverage these findings to provide an updated synopsis of extant scientific work. Moreover, we draw a framework whereby we identify the: 1) drivers of and motivators for adoption and engagement with CAs; and 2) the outcomes of CA adoption for both users and organizations. Finally, we leverage the framework to develop an agenda for future research.
Key Findings
1
A systematic literature review of conversational-agent research was conducted using publications indexed in Web of Science and Scopus.
2
Bibliographic coupling identified four dominant themes: consumer trust, NLP for CA development and design, communication with CAs, and CAs’ role in business value creation.
3
The framework also maps adoption outcomes for both users and organizations, informing a future research agenda.
4
The review framework organizes drivers and motivations for conversational-agent adoption and engagement.
Research Object
consumer conversational agents (CAs)
Research Subject
research themes, adoption and engagement drivers, and user- and organization-level outcomes of conversational agents
Publication Details
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2023-03-21
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