Evidence Gap Map of AI in the 24-Hour Economy for LMICs, 2010-2026

120 studies published between 2010 and 2026 were systematically reviewed to map AI applications in the 24-hour economy of low- and middle-income countries. Gabriel Osei Forkuo conducted this scoping review following PRISMA-ScR guidelines, screening 7,901 initial records. The dataset includes an Implementation Readiness Matrix and an EGM matrix crossing eight AI technology layers against seven economic sectors.

Use Cases

• Identify research gaps in AI applications for specific 24-hour economy sectors based on the Evidence Gap Map matrix.
• Assess the feasibility and evidence strength of AI implementations using the provided Implementation Readiness Matrix.
• Analyze trends in AI technology adoption in LMICs over the 2010-2026 period based on the included study metadata.

Strengths

• Systematic methodology following PRISMA-ScR guidelines, including a multi-database search and citation tracking.
• Includes 120 curated studies from an initial pool of 7,901 records, providing a focused evidence base.
• Structured outputs include an 8x7 Evidence Gap Map matrix and an Implementation Readiness Matrix for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• Data may reflect publication bias inherent to the sources included in the scoping review.

Provenance

Source

figshare, author Gabriel Osei Forkuo.

Collection Method

Systematic scoping review using automated retrieval with a Python 3.12 script and manual search.

Time Range

2010 to 2026

Freshness

Last updated 2026-05-18 17:52:11; freshness should be verified.

Geography

Low- and middle-income countries (LMICs)