Enhancing Productivity in Property Transfers through Big Data Analytics: A UAE Perspective

Authors

  • Hammami Mohamed
  • Mohamed Doheir

DOI:

https://doi.org/10.54554/jtmt.2025.13.03.013

Abstract

The real estate sector This conceptual paper explores how Big Data Analytics (BDA) can enhance productivity and
transparency in property transfer processes within the United Arab Emirates (UAE). The study adopts a qualitative conceptual
approach, synthesizing secondary data from academic research, industry reports, and government publications. It highlights
the evolving role of BDA in streamlining real estate transactions, reducing information asymmetry, and improving decisionmaking among investors, developers, and regulators. The paper concludes that BDA-driven insights can transform property
transfer productivity through automation, predictive analytics, and enhanced transparency. Implications for policymakers,
investors, and regulators are also discussed.

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Published

2025-12-31

How to Cite

Mohamed, H., & Doheir, M. . (2025). Enhancing Productivity in Property Transfers through Big Data Analytics: A UAE Perspective. Journal of Technology Management and Technopreneurship (JTMT), 13(3). https://doi.org/10.54554/jtmt.2025.13.03.013

Issue

Vol. 13 No. 3 (2025): SPECIAL ISSUES (IN PRESS)

Section

Journal of Technology Management and Technopreneurship

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Copyright (c) 2025 Journal of Technology Management and Technopreneurship (JTMT)

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