Navigating Avatar‐Based Marketing From Value Aspects: A Systematic Literature Review and Forward‐Looking Research Agenda

ABSTRACT Virtual avatar deployment has opened a new window for many industries in service personalization and customization, offering customers “anytime–anywhere” services. It becomes increasingly essential for marketing practitioners and scholars to clearly understand how avatar attributes and traits are reshaping customer value perceptions in the digital world. Despite the exponential growth of research interest within this area in the last decade, the literature on avatar attributes and consumer‐perceived values remains fragmented and isolated. Given this circumstance, this review draws on the theory–context–characteristics–methods framework and explores the extant literature to provide a collective and comprehensive insight into dominant theories, contexts, characteristics, and methodologies in the context of avatar‐based marketing (ABM). A systematic literature review was applied to rigorously review 57 published articles on avatars and ABM from 2005 to 2023. Using in‐depth content analysis, the current review sheds light on the opportunity to extend the theoretical foundations for the ABM literature. It also identifies gaps in understanding avatar attributes and the associated consumer values, with potential implications for consumer behavior. Finally, it sums up a comprehensive future research agenda.

Authors

Institutions

Publication Details

Journal
International Journal of Consumer Studies
Published
2024-10-17
DOI
https://doi.org/10.1111/ijcs.13096
Citations
10
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
3.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating Avatar‐Based Marketing From Value Aspects: A Systematic Literature Review and Forward‐Looking Research Agenda

Md. Masudur Rahman, Md. Shahinur Rahman, Khan Md. Raziuddin Taufique, Md. Mahiuddin Sabbir et al.
10 citations
International Journal of Consumer Studies
AI in Service Interactions
3.47
article

Navigating Avatar‐Based Marketing From Value Aspects: A Systematic Literature Review and Forward‐Looking Research Agenda

Md. Masudur Rahman, Md. Shahinur Rahman, Khan Md. Raziuddin Taufique, Md. Mahiuddin Sabbir, Jing Zhang
article en
10 citations

Abstract

ABSTRACT Virtual avatar deployment has opened a new window for many industries in service personalization and customization, offering customers “anytime–anywhere” services. It becomes increasingly essential for marketing practitioners and scholars to clearly understand how avatar attributes and traits are reshaping customer value perceptions in the digital world. Despite the exponential growth of research interest within this area in the last decade, the literature on avatar attributes and consumer‐perceived values remains fragmented and isolated. Given this circumstance, this review draws on the theory–context–characteristics–methods framework and explores the extant literature to provide a collective and comprehensive insight into dominant theories, contexts, characteristics, and methodologies in the context of avatar‐based marketing (ABM). A systematic literature review was applied to rigorously review 57 published articles on avatars and ABM from 2005 to 2023. Using in‐depth content analysis, the current review sheds light on the opportunity to extend the theoretical foundations for the ABM literature. It also identifies gaps in understanding avatar attributes and the associated consumer values, with potential implications for consumer behavior. Finally, it sums up a comprehensive future research agenda.

International Journal of Consumer StudiesVol. 48(6)
American International University-Bangladesh (BD), Oxford Brookes University (GB), Khulna University of Engineering and Technology (BD), University of Dhaka (BD), University of Barishal (BD), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
AI in Service Interactions
3.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.