Accessibility navigation


Artificial intelligence empowered conversational agents: a systematic literature review and research agenda

Mariani, M. M., Hashemi, N. and Wirtz, J. (2023) Artificial intelligence empowered conversational agents: a systematic literature review and research agenda. Journal of Business Research, 161. 113838. ISSN 0148-2963

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

3MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.jbusres.2023.113838

Abstract/Summary

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.

Item Type:Article
Refereed:Yes
Divisions:Henley Business School > Leadership, Organisations and Behaviour
ID Code:111260
Publisher:Elsevier

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation