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Digital Solutions for Streamlining Property Management Operations in Affordable Housing Communities

Year: 2025
Type: article
Abstract: This paper explores the transformative potential of digital solutions in streamlining property management operations within affordable housing communities. As urbanization and population growth increase the demand for affordable housing, efficient property management becomes essential for ensuring the sustainability and livability of these communities. The study reviews existing property management approaches and highlights the limitations of traditional systems, such as inefficiencies in maintenance, financial management, and tenant engagement. It then examines how digital technologies—including property management software, Internet of Things (IoT) devices, artificial intelligence (AI), and data analytics—can address these challenges by automating processes, optimizing resource allocation, and improving tenant interactions. Through case studies, the paper demonstrates how digital solutions have been successfully implemented in affordable housing, leading to enhanced operational efficiency, tenant satisfaction, and cost savings. However, the paper also identifies significant barriers to digital adoption, such as financial constraints, infrastructure gaps, and resistance to change. To overcome these challenges, the paper recommends strategies such as partnerships with tech providers, workforce training, and securing funding. Furthermore, future research is encouraged to focus on developing scalable and cost-effective digital tools, integrating emerging technologies like blockchain, and studying the long-term impacts of digital solutions on affordable housing management.
Authors: Independent Researcher, Richmond, Texas, USA, Tosin Samuel Oyetunji, Fasasi Lanre Erinjogunola, Al Sarh Alqema Consultancy & Contracting, Doha, Qatar, Rasheed O. Ajirotutu, Vanderlande Industries, USA, Abiodun Benedict Adeyemi, Independent Researcher, Lagos Nigeria, Tochi Chimaobi Ohakawa, Independent Researcher, UK, Saliu Alani Adio, Khatib & Alami (Consolidated Engineering Co.), Doha, Qatar
Language: English
Subfield: Architecture
Open Access status: diamond
OpenAlex ID: W4409213177
FWCI: 17.2
Cites:
Cited by: 3
Related to: 10