Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Leveraging AI-Driven Optimization and Dynamic Service Allocation in Ethiopia: A Platform-Based Model for Smart and Sustainable Facility Management

Domaine:

digital infrastructure
Créateur:
DesMelBar
Éditeur:
Jou
Hôte:avatar
The digital transformation of facility management (FM) is essential for creating smart, interconnected, and sustainable building ecosystems. While this transformation is advanced in sectors like logistics and on-demand delivery, Ethiopia's FM sector remains in its infancy, characterized by fragmented, traditional practices. However, rapid urbanization, significant infrastructure development, and a growing young, tech-adaptable population create a unique opportunity for Ethiopia to leapfrog legacy systems and adopt innovative, platform-based FM models directly. This paper assesses the applicability of best practices from digitally transformed industries such as AI-driven allocation, dynamic pricing, and user ratings to the Ethiopian context. It proposes a conceptual platform-based FM business model tailored to the country's specific needs and constraints. The model leverages scalable technologies like AI, IoT, and blockchain to create an on-demand digital marketplace that connects clients with certified service providers. By applying algorithmic matching and automated workflows, the study explores how Ethiopia can harness the adaptability of platform economies to overcome current inefficiencies, even while building its FM capacity. The paper critically examines adoption barriers, including digital infrastructure limitations, regulatory frameworks, and workforce skill gaps, proposing context-specific mitigation strategies derived from global lessons. The findings suggest that a strategically adapted, digitally integrated FM marketplace could provide Ethiopia with a cost-effective, transparent, and sustainable path to managing its built environment, aligning with national goals for smart urban development and resilience. This study offers a roadmap for implementing a future-proof FM approach in emerging economies, turning developmental challenges into opportunities for innovation.

Visit

doi.orgjournal.ifm.tuwien.ac.at

Languages

Amharic

Tags

AI-Driven Facility ManagementPlatform-Based Service ModelSustainable FMEthiopiaDigital LeapfroggingEmerging Economies

Licenses

Creative Commons Attribution Non Commercial 4.0 Internationalhttps://creativecommons.org/licenses/by-nc/4.0/legalcode

Similaires

A Sustainable AI-Driven Platform for Proactive Identification and Management of Vulnerable Populations in Crisis SituationsStrategic enablers of sustainable AI-driven public service transformation in Nigeria: a fuzzy DEMATEL-based modelAI-Driven Solar Energy Optimization for Sustainable Development in LibyaZimFix: A Smart Civic Infrastructure Platform for Sustainable Urban Management in Zimbabwemykiie85/AI-Driven-Vector-Control-Optimization-Model-for-TanzaniaAI-Driven Business Model Innovation: The Impact of AI Integration Platform as a Service (AIPaaS) in the Financial Service Industry in Johannesburg, South Africa

A Sustainable AI-Driven Platform for Proactive Identification and Management of Vulnerable Populations in Crisis Situations

Humanitarian crises such as natural disasters and armed conflicts are increasing in frequency and in

Strategic enablers of sustainable AI-driven public service transformation in Nigeria: a fuzzy DEMATEL-based model

Purpose This study investigates the strategic enablers of sustainable AI-drive

AI-Driven Solar Energy Optimization for Sustainable Development in Libya

This study examines the potential of Artificial Intelligence (AI) to optimize solar-energy utilizati

ZimFix: A Smart Civic Infrastructure Platform for Sustainable Urban Management in Zimbabwe

Urban infrastructure management in developing countries remains a persistent challenge due

mykiie85/AI-Driven-Vector-Control-Optimization-Model-for-Tanzania

VCOM-Tz is an AI-driven vector control optimization platform for Tanzania that combines medical ento

AI-Driven Business Model Innovation: The Impact of AI Integration Platform as a Service (AIPaaS) in the Financial Service Industry in Johannesburg, South Africa