A systematic literature review of AI in the sharing economy
Ying Chen,
Catherine Prentice,
Scott Weaven and
Aaron Hsiao
Journal of Global Scholars of Marketing Science, 2022, vol. 32, issue 3, 434-451
Abstract:
Although artificial intelligence (AI) has been adopted in sharing economy platforms, few studies have investigated this phenomenon in this context. Consequently, there is no thorough overview of how AI has been used in the sharing economy. To address this research gap, a systematic literature review was performed for this paper. This method can be useful for the exploration of new and emerging trends within disciplines and allows boundaries to be mapped on what is known thereby identifying gaps on what is yet to be known. After screening, 28 English journal articles were selected in a qualitative synthesis. Results show AI can help the sharing economy platforms by enhancing trust, matching assets, and understanding participants’ preferences and attitudes. Based on these findings, potential directions are established. The current study will contribute to both the sharing economy and AI literature, and the results may help practitioners and academia to achieve a greater understanding of this topic.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/21639159.2020.1808850 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jgsmks:v:32:y:2022:i:3:p:434-451
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RGAM20
DOI: 10.1080/21639159.2020.1808850
Access Statistics for this article
Journal of Global Scholars of Marketing Science is currently edited by Seong-Yeon Park
More articles in Journal of Global Scholars of Marketing Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().