Digitalisation and sustainability convergence: leveraging artificial intelligence capabilities to enhance agri-food value chains' sustainability in Africa

The convergence of digitalisation and sustainability offers transformative potential for Africa's agri-food value chains. By employing structural equation modelling, this paper investigates the convergence of digitalisation and sustainability in Africa's agri-food value chains, including the mediating role of agri-food supply chain resilience. The critical role that Artificial Intelligence plays in enhancing food supply chain resilience in Africa is at the core of this study. This study employs a deductive research approach to achieve the research objective, drawing on established theories to guide the development of the conceptual model and hypotheses. The results underline the importance of AI-driven initiatives such as Farmers’ Yield Optimization, Food Retail Demand Prediction, Real-time Data Analysis, and Enhanced Supply Chain Administration in strengthening the resilience of agri-food supply chains. These findings suggest that investing in resilience-building measures can generate long-term benefits for the stability and sustainability of agri-food systems.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitalisation and sustainability convergence: leveraging artificial intelligence capabilities to enhance agri-food value chains' sustainability in Africa

SHILAP Revista de lepidopterología
Supply Chain Resilience and Risk Management
article

Digitalisation and sustainability convergence: leveraging artificial intelligence capabilities to enhance agri-food value chains' sustainability in Africa

article en

Abstract

The convergence of digitalisation and sustainability offers transformative potential for Africa's agri-food value chains. By employing structural equation modelling, this paper investigates the convergence of digitalisation and sustainability in Africa's agri-food value chains, including the mediating role of agri-food supply chain resilience. The critical role that Artificial Intelligence plays in enhancing food supply chain resilience in Africa is at the core of this study. This study employs a deductive research approach to achieve the research objective, drawing on established theories to guide the development of the conceptual model and hypotheses. The results underline the importance of AI-driven initiatives such as Farmers’ Yield Optimization, Food Retail Demand Prediction, Real-time Data Analysis, and Enhanced Supply Chain Administration in strengthening the resilience of agri-food supply chains. These findings suggest that investing in resilience-building measures can generate long-term benefits for the stability and sustainability of agri-food systems.

SHILAP Revista de lepidopterología
University of Johannesburg (ZA)
Openalex Percentile: Top 22%
Supply Chain Resilience and Risk Management
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.

Digitalisation and sustainability convergence: leveraging artificial intelligence capabilities to enhance agri-food value chains' sustainability in Africa · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS