Evaluation of the added value of a tailored ChatGPT for CREM specialists

Exploring the Role of ChatGPT in property management

Master Thesis (2024)
Author(s)

J.H. Ghobrial (TU Delft - Architecture and the Built Environment)

Contributor(s)

HMJ Vande Putte – Mentor (TU Delft - Real Estate Management)

Michaël Peeters – Mentor (TU Delft - Real Estate Management)

Faculty
Architecture and the Built Environment
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Publication Year
2024
Language
English
Graduation Date
28-06-2024
Awarding Institution
Delft University of Technology
Programme
['Architecture, Urbanism and Building Sciences | Management in the Built Environment']
Faculty
Architecture and the Built Environment
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Abstract

Corporate Real Estate Management (CREM) professionals face diverse challenges, from space optimization to financial decision-making, in their field. The potential of emerging AI technologies, such as ChatGPT, remains underexplored in this context. This research seeks to address this knowledge gap by examining whether a tailored ChatGPT can significantly enhance the capabilities of CREM professionals with a focus on property managers. The central question revolves around ChatGPT's utility within Property management, aiming to answer the fundamental question: "‘’What is the added value of a tailored ChatGPT for professionals in Property Management?" A mixed-method approach, combining qualitative and quantitative methods, is employed. This approach encompasses in-depth interviews, thematic analysis, and surveys to assess ChatGPT's performance. The research objectives encompass evaluating ChatGPT's performance compared to human experts and gauging its added value. The anticipated outcomes include a comprehensive research findings report, quantitative and qualitative datasets, and a tailored ChatGPT for property managers. This research aspires to understand the potential role of a tailored ChatGPT in CREM and providing insights to policymakers and technologists regarding AI's potential in shaping the future of CREM.

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