Reshaping the World with Computer Technologies and Their Impact on the Development of Processes in the Field of Real Estate Trading

Georg Rockel (1), Miroslav Rusko (2), Anna Predajnianska (3)
(1) Mendel University, Brno, Czech Republik, Czechia,
(2) Catholic University in Ružomberok, Slovakia,
(3) Slovak University of Technology in Bratislava, Slovakia

Abstract

Purpose: This study examines artificial intelligence (AI) impact on real estate, highlighting its role in improving processes, enhancing customer experiences, and ensuring competitiveness while prioritising data protection and security.


Methodology/Approach: A comprehensive literature review compared AI technologies in real estate, including drones, the Internet of Things (IoT), cloud computing, big data, 3D scanning, wearables, virtual and augmented realities, and robotics. It examines their impact on operations, focusing on AI in Heating, Ventilation and Air Conditioning (HVAC) systems for energy efficiency and comfort.


Findings: AI enhances real estate development by optimising operations, transforming customer relationships, and improving energy efficiency and comfort with AI-controlled HVAC systems. Benefits include automated data processing, better decision-making, and optimised marketing strategies.


Research Limitation/Implication: AI has great potential, but its implementation is in the early stages, including in real estate. Challenges include data protection, security, costs, and new hardware for HVAC systems. Broader real-case testing is needed.


Originality/Value of paper: This paper broadens the perspective on AI's impact on real estate, showing how to implement AI in various processes. It improves performance and transforms customer experiences, setting new standards for property management.

Full text article

Generated from XML file

References

Srivastava, S., 2024. Benefits of AI in real estate: transforming property transactions and customer insights. Appinventiv, blog 11 April 2024. Available at: https://appinventiv.com/blog/ai-in-real-estate/ [Accessed: 28 April 2024].

Arumugam, T., Arun, N., Anitha, R., Swerna, P.L., 2024. Advancing and Methodising Artificial Intelligence (AI) and Socially Responsible Efforts in Real Estate Marketing. Data-Driven Intelligent Business Sustainability. IGI Global, pp. 48-59.

Azmi, A., Ibrahim, R., Ghafar, M.A., Rashidi, A., 2022. Smarter real estate marketing using virtual reality to influence potential homebuyers' emotions and purchase intention, Smart and Sustainable Built Environment, 11(4), pp. 870-890. https://doi.org/10.1108/SASBE-03-2021-0056.

Dasheng, L. and Shang-Tse, L., 2023. Artificial intelligence enabled energy-efficient heating, ventilation and air conditioning system: Design, analysis and necessary hardware upgrades, Applied Thermal Engineering Journal, 235, 121253. https://doi.org/10.1016/j.applthermaleng.2023.121253.

Ghahramani, A., Galicia, P. and Lehler, D., et al., 2020. Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions, Frontiers in Built Environment, 6. https://doi.org/10.3389/fbuil.2020.00049.

Chen, Z. and Xiao, F., 2023. Interpretable machine learning for building energy management: A state-of-the-art review, Advances in Applied Energy, 9. https://doi.org/10.1016/j.adapen.2023.100123.

IT-techBlog, 2006. Unternehmen in der Internetökonomie, Ziele des IKT-Einsatzes. Available at: https://www.it-techblog.de/know-how-intel-centrino-mobiltechnologie-im-detail/10/2006/ [Accessed: 26 April 2024].

Krarti, M., 2008. Energy Efficient Systems and Strategies for Heating, Ventilating, and Air Conditioning (HVAC) of Buildings, Journal of Green Building, 3(1), pp. 44-55. https://doi.org/10.3992/jgb.3.1.44.

Machlev, R., et al., 2022. Explainable Artificial Intelligence techniques for energy and power systems: Review, challenges and opportunities, Energy & AI, 9. https://doi.org/10.1016/j.egyai.2022.100169.

Mirinejad, H., Sadati, S., Ghasemian, M. and Torab, H., 2008. Control Techniques in Heating, Ventilating, and Air Conditioning (HVAC) Systems, Journal of Computer Science, 4, pp. 777-783. https://doi.org/10.3844/jcssp.2008.777.783.

Pleyers, G. and Poncin, I., 2020. Non-immersive virtual reality technologies in real estate: How customer experience drives attitudes toward properties and the service provider, Journal of Retailing and Consumer Services, 57. https://doi.org/10.1016/j.jretconser.2020.102175.

Rossini, P., 2000. Using expert systems and artificial intelligence for real estate forecasting, in Proceedings of the Sixth Annual Pacific-Rim Real Estate Society Conference, Sydney, Australia, pp. 24-27. Available at: https://www.prres.org/uploads/481/1120/Rossini_Using_Expert_Systems_and_Artificial_Intelligence_for_RE_Forecasting.pdf [Accessed: 29 May 2024].

Sinopoli, J., 2010. Heating, Ventilating, and Air Conditioning Systems, Smart Building Systems for Architects, Owners, and Builders. pp. 31-46. https://doi.org/10.1016/B978-1-85617-653-8.00003-X.

Solguruz, D.L., 2024. Benefits of AI in real estate: transforming property transactions and customer insights. Available at: https://solguruz.com/blog/role-of-ai-and-ml-in-transforming-the-real-estate-sector/ [Accessed: 25 April 2024].

Statista GmbH, 2019. Number of desktop PCs and notebooks sold on the consumer market in Germany from 2005 to 2018 (in 1,000 devices). Available at: https://www.statista.com/statistics/462726/pcs-and-notebooks-sales-volume-germany/ [Accessed: 20 April 2024].

Statista GmbH, 2019a. Number of tablet PCs sold to private consumers in Germany from 2010 to 2018 (in millions). Available at: https://www.statista.com/statistics/460123/tablets-consumer-market-sales-volume-germany/ [Accessed: 29 March 2024].

Statista GmbH, 2019b. Technik-Shopping in Deutschland. Available at: https://de.statista.com/infografik/16197/absatz-von-ausgewaehlten-elektronischen-geraeten-in-deutschland/ [Accessed: 09 Mai 2024].

Taffese, W.Z., 2006. A survey on application of artificial intelligence in real estate industry. Proceedings of the Third International Conference on Artificial Intelligence in Engineering & Technology. November 22-24, 2006, Kota Kinabalu, Sabah, Malaysia. Available at: https://www.researchgate.net/publication/236866441_A_Survey_on_Application_of_Artificial_Intelligence_in_Real_Estate_Industry [Accessed: 29 March 2024].

Thaduri, U.R., 2021. Virtual Reality & Artificial Intelligence in Real Estate Business: A Tool for Effective Marketing Campaigns, Asian Journal of Applied Science and Engineering, 10(1), pp. 56-65.

Ullah, F., Sepasgozar, S. and Wang, C. 2018. A systematic review of smart real estate technology: Drivers of, and barriers to, the use of digital disruptive technologies and online platforms, Sustainability, 10(9), p. 3142. https://doi.org/10.3390/su10093142.

Vakiloroaya, V., Samali, B., Fakhar, A., Pishghadam, K., 2014. A review of different strategies for HVAC energy saving, Energy Conversion and Management, 77, pp. 738-754. https://doi.org/10.1016/j.enconman.2013.10.023.

Verma, S., Sharma, R., Deb, S., Maitra, D., 2021. Artificial intelligence in marketing: Systematic review and future research direction, International Journal of Information Management Data Insights, 1(1), p. 100002. https://doi.org/10.1016/j.jjimei.2020.100002.

Viriato, J.C., 2019. AI and machine learning in real estate investment, The Journal of Portfolio Management, 45(7), pp. 43-54. https://doi.org/10.3905/jpm.2019.45.7.043.

Vlačić, B., Corbo, L., Costa e Silva, S., Dabić, M. 2021. The evolving role of artificial intelligence in marketing: A review and research agenda, Journal of Business Research, 128, pp. 187-203. https://doi.org/10.1016/j.jbusres.2021.01.055.

Authors

Georg Rockel
georg.rockel@gmx.de (Primary Contact)
Miroslav Rusko
Anna Predajnianska
Author Biographies

Miroslav Rusko, Catholic University in Ružomberok

Associate professor at the Department of Management, Faculty of Education, Catholic University in Ružomberok

Anna Predajnianska , Slovak University of Technology in Bratislava

Assistant Professor at the Department of Building Services, Faculty of Civil Engineering, Slovak University of Technology in Bratislava

Rockel, G., Rusko, M., & Predajnianska , A. (2024). Reshaping the World with Computer Technologies and Their Impact on the Development of Processes in the Field of Real Estate Trading. Quality Innovation Prosperity, 28(2). https://doi.org/10.12776/qip.v28i2.2024

Article Details

Similar Articles

<< < 17 18 19 20 21 22 

You may also start an advanced similarity search for this article.

No Related Submission Found