A Systematic Review on Agri‐Food Live Streaming E‐Commerce

ABSTRACT Over the past decade, live streaming e‐commerce (LSEC) has become a key driver of agri‐food marketing transformation and rural economic revitalization, yet it lacks systematic synthesis of empirical evidence specific to this domain, leading to fragmented insights and limited practical guidance that hinder sustainable, inclusive agri‐food system development. Following the Preferred Reporting Items for Systematic Reviews (PRISMA) framework and SPIDER protocol, this systematic review maps core research topics (consumer outcomes, supply chain optimization, and technology application), theories, methods, and implications based on 68 peer‐reviewed journal articles indexed in Web of Science during 2016–2025. It contributes to agri‐food systems and e‐commerce literature by proposing standardized terminology and unified definitions for key constructs, developing a conceptual framework linking core research topics to multi‐dimensional value enhancement, and advancing a supply chain model delineating key stakeholder interactions in agri‐food LSEC—collectively informing agricultural modernization, rural development, and agri‐food system resilience. The review also highlights critical limitations and offers targeted future research directions, providing comprehensive actionable insights for policymakers, practitioners, and researchers to advance the creation of economic, social, and environmental values through LSEC in the agri‐food sector.

Authors

Institutions

Publication Details

Journal
Journal of Economic Surveys
Published
2026-03-12
DOI
https://doi.org/10.1111/joes.70092
Primary Topic
Organic Food and Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Systematic Review on Agri‐Food Live Streaming E‐Commerce

Yuyang Fan
Journal of Economic Surveys
Organic Food and Agriculture
article

A Systematic Review on Agri‐Food Live Streaming E‐Commerce

Yuyang Fan
article en

Abstract

ABSTRACT Over the past decade, live streaming e‐commerce (LSEC) has become a key driver of agri‐food marketing transformation and rural economic revitalization, yet it lacks systematic synthesis of empirical evidence specific to this domain, leading to fragmented insights and limited practical guidance that hinder sustainable, inclusive agri‐food system development. Following the Preferred Reporting Items for Systematic Reviews (PRISMA) framework and SPIDER protocol, this systematic review maps core research topics (consumer outcomes, supply chain optimization, and technology application), theories, methods, and implications based on 68 peer‐reviewed journal articles indexed in Web of Science during 2016–2025. It contributes to agri‐food systems and e‐commerce literature by proposing standardized terminology and unified definitions for key constructs, developing a conceptual framework linking core research topics to multi‐dimensional value enhancement, and advancing a supply chain model delineating key stakeholder interactions in agri‐food LSEC—collectively informing agricultural modernization, rural development, and agri‐food system resilience. The review also highlights critical limitations and offers targeted future research directions, providing comprehensive actionable insights for policymakers, practitioners, and researchers to advance the creation of economic, social, and environmental values through LSEC in the agri‐food sector.

Journal of Economic Surveys
Capital University of Economics and Business (CN)
Zero hunger
Openalex Percentile: Top 24%
Organic Food and Agriculture
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.