UTILIZATION OF ARTIFICIAL INTELLIGENCE IN THE CZECH REAL ESTATE MARKET

Kód výsledku v 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>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

UTILIZATION OF ARTIFICIAL INTELLIGENCE IN THE CZECH REAL ESTATE MARKET

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

UTILIZATION OF ARTIFICIAL INTELLIGENCE IN THE CZECH REAL ESTATE MARKET

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Construction Maeconomics Conference (2024), Conference Proceedings

ISBN

978-80-01-07369-8

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

17-24

Název nakladatele

katedra ekonomiky a řízení ve stavebnictví

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

7. 11. 2024

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—