UTILIZATION OF ARTIFICIAL INTELLIGENCE IN THE CZECH REAL ESTATE MARKET
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00381231" target="_blank" >RIV/68407700:21110/24:00381231 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
UTILIZATION OF ARTIFICIAL INTELLIGENCE IN THE CZECH REAL ESTATE MARKET
Original language description
This paper provides a comprehensive overview of the potential and applications of artificial intelligence (AI), machine learning, and property technologies (PropTech) within real estate markets abroad and in the Czech Republic. It focuses on how these technologies optimize various processes in real estate transactions, from data collection and management to market analysis, property valuation, price forecasting, and automated property management. An analysis of academic and commercial articles reveals that while the advantages of AI are widely acknowledged, academic publications more frequently highlight its limitations, particularly economic, regulatory, technological, and ethical challenges. The paper suggests that future research should target these shortcomings to ensure that technologies are implemented effectively and safely in both the private and public sectors. Additionally, it offers a foundational literature review for further research and case studies focusing on real estate market trends and price forecasting in municipalities across the Czech Republic. The paper’s research questions affirm the hypothesis that AI plays a crucial role in maintaining stability and enhancing the efficiency of the real estate market when properly implemented. Finally, the paper emphasizes the ethical implications of AI utilization, not only in the real estate sector. This is recognized as a critical topic for future expert discussions and further research in AI and PropTech
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Construction Maeconomics Conference (2024), Conference Proceedings
ISBN
978-80-01-07369-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
17-24
Publisher name
katedra ekonomiky a řízení ve stavebnictví
Place of publication
Praha
Event location
Praha
Event date
Nov 7, 2024
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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