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

Exploring the Role of ChatGPT in property management

Master thesis (2024)

Authors

J.H. Ghobrial Architecture and the Built Environment

Contributors

H.J.M. Vande Putte Real Estate Management - Architecture and the Built Environment (mentor)
M.U.J. Peeters Real Estate Management - Architecture and the Built Environment (mentor)
Faculty
Architecture and the Built Environment, Architecture and the Built Environment
More Info
expand_more

Published Date

28-06-2024

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Architecture and the Built Environment

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.