EconPapers    
Economics at your fingertips  
 

Do they look human? Review on virtual influencers

Padma Angmo (), Rachna Mahajan () and Antonio Batista Silva Oliveira ()
Additional contact information
Padma Angmo: University of Jammu
Rachna Mahajan: University of Jammu
Antonio Batista Silva Oliveira: Federal University of Rio Grande do Norte (UFRN)

Management Review Quarterly, 2025, vol. 75, issue 3, No 15, 2425-2457

Abstract: Abstract A new type of social media influencer, known as a virtual influencer, has gained prominence, driven by technological breakthroughs and artificial intelligence. Despite the increasing interest of researchers and practitioners, there is a lack of clear understanding of this current phenomenon. As this research domain is still in its infancy, a comprehensive and insightful review of the extant research is needed, and the current study aims to close this gap using a framework-based scoping review. A total of 81 peer-reviewed studies met the inclusion criteria. Key findings were categorised into themes, contexts, and methodologies using the TCM framework. Based on this analysis, several research gaps have been identified, and directions for future research are suggested. This study advances our understanding of virtual influencers by providing a framework for future research development, motivating scholars to examine this phenomenon.

Keywords: Virtual influencers; Computer-generated image; Artificial intelligence; Scoping review; Social media (search for similar items in EconPapers)
JEL-codes: M3 M31 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11301-024-00438-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:manrev:v:75:y:2025:i:3:d:10.1007_s11301-024-00438-9

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11301

DOI: 10.1007/s11301-024-00438-9

Access Statistics for this article

Management Review Quarterly is currently edited by Thomas Reutterer, Jonas F. Puck, Engelbert Dockner and Anne d'Arcy

More articles in Management Review Quarterly from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-10-08
Handle: RePEc:spr:manrev:v:75:y:2025:i:3:d:10.1007_s11301-024-00438-9