The Adoption of Digital Data Management in Property Valuations within Kampala - Uganda

Abstract

This study investigated the adoption of digital data management in property valuations in Kampala, Uganda. While global real estate markets increasingly utilize digital tools such as automated valuation models (AVMs), cloud computing and data lakes to improve accuracy and efficiency, many Ugandan valuation firms remain reliant on manual practices and fragmented data systems. The study used the Diffusion of Innovation (DOI) theory to assess how and why adoption of such technologies has been slow, despite their potential benefits. A qualitative research approach was adopted, using a phenomenological design and purposive sampling. Data was collected through semi-structured interviews with 30 valuation professionals from various firms. Thematic analysis revealed challenges at three levels, namely macro, meso and micro challenges all of which have a way of deterring the adoption of digital data management. Despite these challenges, the study identified key opportunities such as interest from younger valuers, potential cost savings and the growing relevance of secure digital platforms. A conceptual framework was developed to guide the adoption process, highlighting a phased and collaborative approach to implementation. This research contributes to the growing body of knowledge on digital transformation in real estate, particularly in developing countries. It provides practical insights for valuation professionals, policymakers and industry regulators seeking to modernize valuation practices and enhance transparency, reliability and efficiency in Uganda’s real estate market.