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        <datestamp>2026-09-13T07:35:00Z</datestamp>
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          <dc:title>&lt;b&gt;Reshaping the Night: A Scoping Review and Evidence Gap Map of Artificial Intelligence in the 24-Hour Economy of LMICs&lt;/b&gt;</dc:title>
          <dc:creator>Gabriel Osei Forkuo (22634483)</dc:creator>
          <dc:creator>Baffour Osei (23728148)</dc:creator>
          <dc:creator>Emmanuel Osei_Dwomoh (22639890)</dc:creator>
          <dc:creator>Abigail Boatemaa (23621091)</dc:creator>
          <dc:subject>Planning and decision making</dc:subject>
          <dc:subject>Natural language processing</dc:subject>
          <dc:subject>Artificial intelligence not elsewhere classified</dc:subject>
          <dc:subject>Satisfiability and optimisation</dc:subject>
          <dc:subject>Intelligent robotics</dc:subject>
          <dc:subject>Applications in health</dc:subject>
          <dc:subject>Applications in life sciences</dc:subject>
          <dc:subject>algorithmic governance; digital leapfrogging; equitable innovation; informal labour; resource-constrained environments; sociotechnical systems</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;We conducted a systematic scoping review following PRISMA-ScR guidelines. To ensure comprehensive coverage, we executed a rigorous, multi-database search using a custom Python 3.12 script designed for automated retrieval and metadata extraction, supplemented by extensive manual search and backward/forward citation tracking. From 7,901 initial records, 120 studies published between 2010 and 2026 met our inclusion criteria. We constructed an EGM matrix crossing eight AI technology layers against seven 24-hour economy sectors, and developed an Implementation Readiness Matrix to evaluate evidence strength against feasibility.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-13T07:35:00Z</dc:date>
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