Al-Qadisiyah Journal for Engineering Sciences

Forecasting technologies impacting real estate business during the transition to 2030s

Document Type : Research Paper

Authors

Kongkoon Tochaiwat 1, 2
Anuwat Budda 1, 2
Patcharida Seniwong 2

1 Faculty of Architecture and Planning, Thammasat University, Pathum Thani, Thailand.

2 Thammasat University Research Unit in Project Development and Innovation in Real Estate Business, Thammasat University, Pathum Thani, Thailand.

10.30772/qjes.2025.155895.1450
Abstract
Currently, numerous technologies play a significant role in the real estate business, particularly in meeting the needs of prospective buyers and residents of housing projects. However, the competition and risks in the industry compel real estate developers to carefully compare the advantages and disadvantages that may arise from the adoption of technology. This research aims to examine the trends in technologies implemented in housing development projects during the transition from the 2020s to the 2030s. The survey involved interviews with five real estate experts who possess knowledge and experience in (1) design, (2) construction, (3) innovation management, (4) location selection, and (5) real estate sales and marketing. The interview results were analyzed using the Content Analysis Technique. The findings indicate a high likelihood that technologies facilitating home convenience and safety, air circulation technologies, energy-saving technologies, wellness support technologies, environmental pollution detection technologies in communal areas, prefabricated house technologies, cost-reducing or recycled material usage technologies, smart home technologies, renewable energy technologies, home network control technologies and internet network technologies, and advertising and public relations technologies to increase project awareness among potential homebuyers will become prominent. In addition, the development of post-occupancy resident care applications is anticipated. These findings can be used by businesses in related industries to develop products and services that better meet the needs of homebuyers and enhance their quality of life.

Keywords

Real estate sales
Real estate technology
Trend forecasting
Technology management
Modified delphi method
  • Zhang, K. (2020). An Affordable Nearly-zero-energy Townhouse Prototype for China's Future Low-carbon Housing (Doctoral dissertation, Cardiff University). oai:https://orca.cardiff.ac.uk:134348
  • Chippagiri, R., Bras, A., Sharma, D., & Ralegaonkar, R. V. (2022). Technological and Sustainable Perception on the Advancements of Prefabrication in Construction Industry. Energies, 15(20), 7548. https://doi.org/10.3390/en15207548
  • Sukaatmadja, I. P. G. (2020). Factor Affecting Competitive Advantage of Real Estate Developers in Indonesia. Journal of Islamic Marketing, 12(9), 1950-1969. DOI:10.1108/JIMA-01-2020-0010
  • Zhu, X., & Li, Y. (2022). Big Data Technology in Real Estate Industry: Scenarios and Benefits. Proceedings of International Conference on Big Data. Cham: Springer International Publishing. DOI:10.1007/978-3-031-23501-6_8.
  • Stobierski, T. (2020). What is a Value Chain Analysis? 3 Steps. Harvard Business Review. https://online.hbs.edu/blog/post/what-is-value-chain-analysis.
  • Muadudi, C. F., Gamal, A. (2019). Literature Review: Technologies and Property Development. IOP Conf. Series: Earth and Environmental Science, 396(2019), 1-14. https://doi.org/10.1088/1755-1315/396/1/012020.
  • Tochaiwat, K. (2020). Subdivision Project Development. Bangkok: Thammasat Press.
  • Quinn, J. B. (1967). Technological Forecasting. Harvard Business Review. https://hbr.org/1967/03/technological-forecasting.
  • National Statistical Office. (2020). Statistical Yearbook Thailand 2020. https://www.nso.go.th/public/e-book/Statistical-Yearbook/SYB-2020/
  • He, Q., & Zhang, Y. (2023). Residential Locations and Residential Moves between The City Centre and Suburb in Beijing, China. Habitat International, 131, 102711. https://doi.org/10.1016/j.habitatint.2022.102711
  • Sen, F., & Rubenstein, A. H. (1989). External Technology and In‐house R&D's Facilitative Role. Journal of Product Innovation Management, 6(2), 123-138. https://doi.org/10.1016/0737-6782(89)90006-4
  • El-Azab, R. (2021). Smart Homes: Potentials and Challenges. Clean Energy, 5(2), 302-315. DOI:10.1093/ce/zkab010
  • Wide house.(2023). Modern Home Design: Innovations and Trends to Follow, Retrieved on June 3, 2024, From https://shorturl.asia/ICKTh
  • Zielonka, A., Woźniak, M., Garg, S., Kaddoum, G., Piran, M. J., & Muhammad, G. (2021). Smart Homes: How Much Will They Support Us? A Research on Recent Trends and Advances. IEEE Access, 9, 26388-26419.
  • Tiwari, P., Garg, V., & Agrawal, R. (2022). Changing World: Smart Homes Review and Future. Smart IoT for Research and Industry, 145-160. DOI:10.1007/978-3-030-71485-7_9
  • Pramono, A., & Primadani, T. I. W. (2023). Smart Home Apps for Saving Energy Usage at Griyapram Guesthouse Malang. In AIP Conference Proceedings, 2594(1). AIP Publishing. DOI:10.1063/5.0109445
  • Belčič, A., & Eloy, S. (2023). Architecture for Community-based Ageing—A Shape Grammar for Transforming Typical Single-family Houses into Older People’s Cohousing in Slovenia. Buildings, 13(2), 453. https://doi.org/10.3390/buildings13020453
  • Fraune, M. R., Komatsu, T., Preusse, H. R., Langlois, D. K., Au, R. H., Ling, K., & Tsui, K. M. (2022). Socially Facilitative Robots for Older Adults to Alleviate Social Isolation: A Participatory Design Workshop Approach in the US and Japan. Frontiers in psychology, 13, 904019.
  • Al–Taee, M. E. M. (2019). Using Surveying and Computer Techniques to Calculate (RA) & (RMSE) for Digital map of Technical Institute in Mosul, Iraq. Iraqi National Journal of Earth Science, 19(2).
  • Chen, Y., Zhu, D., Tian, Z., & Guo, Q. (2023). Factors Influencing Construction Time Performance of Prefabricated House Building: A Multi-case Study. Habitat International, 131, 102731.
  • Madireddy, R. K., Alluri, K. V., Somepalli, V., Golakoti, T., Sengupta, K. (2022). Toxicological Assessments of a Proprietary Blend of Punica granatum Fruit Rind and Theobroma cacao Seed Extracts: Acute, Subchronic, and Genetic Toxicity Studies. Journal of Toxicology. https://doi.org/10.1155/2022/3903943
  • Sua-iam., G and N., Makul, (2024). Potential Future Direction of the Sustainable Production of Precast Concrete with Recycled Concrete Aggregate: A Critical Review. Engineered Science, 28, 1075. Doi:10.30919/es1075
  • Kaja, N., & Jauswal, A. (2021). Review of Precast Concrete Technology in India. International Journal of Engineering Research & Technology, 10(6), 867-72.
  • Tochaiwat, K. (2023). Reducing Green House Gas Emissions in the Construction of Real Estate Projects. The Consulting Engineers Association of Thailand Journal [CEAT Journal], 18, Dec. 2022-Dec. 2023, 47-54.
  • Wong, R. W., & Loo, B. P. (2022). Sustainability Implications of Using Precast Concrete in Construction: An in-depth Project-level Analysis Spanning Two Decades. Journal of Cleaner Production, 378, 134486.
  • Masood, R., & Roy, K. (2022). Review on Prefabricated Building Technology. Technology, 4, 24-30. DOI:10.34074/scop.6004002
  • Al-Khaiat, H., & Fereig, S. M. (1996). The Role of Precast Concrete Systems in Kuwait Housing Projects: In-depth Analysis of Kuwaiti Precast Concrete Industry-Advantages and Limitations of Each System Outlined. Building research and information, 24(6), 374-378. https://doi.org/10.1080/09613219608727559
  • Abdelmoneim, A. M., Albattah, M., & AlMuhairi, A. (2022). Single Users’ Perception towards Acceptance of Precast Technology in The Construction Industry: Case of Abu Dhabi, UAE. In 9th Zero Energy Mass Custom Home International Conference (ZEMCH 2022), 831-839.
  • Siksnelyte-Butkiene, I., Zavadskas, E. K., & Streimikiene, D. (2020). Multi-criteria Decision-making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A review. Energies, 13(5), 1164.
  • Kaewunruen, S., Sresakoolchai, J., & Kerinnonta, L. (2019). Potential Reconstruction Design of an Existing Townhouse in Washington DC for Approaching Net Zero Energy Building Goal. Sustainability, 11(23), 6631.
  • Marikyan, D., Papagiannidis, S., & Alamanos, E. (2021). “Smart Home Sweet Smart Home”: An Examination of Smart Home Acceptance. International Journal of E-Business Research (IJEBR), 17(2), 1-23.
  • Albany, M., Alsahafi, E., Alruwili, I., & Elkhediri, S. (2022). A review: Secure Internet of Thing System for Smart Houses. Procedia Computer Science, 201, 437-444.
  • Rock, L. Y., Tajudeen, F. P., & Chung, Y. W. (2024). Usage and Impact of the Internet-of-things-based Smart Home Technology: A quality-of-life Perspective. Universal Access in the Information Society, 23(1), 345-364.
  • Ahmed, D. R., Kamal, M. A., & Alsaigh, R. (2022). Design and Implement an Application to Measure the Readiness of Teachers to Adopt E-learning in Mosul Schools After Pandemic COVID-19. AL-Rafidain Journal of Computer Sciences and Mathematics, 16(1), 41-50.
  • Liang, Nan, and Mengxuan Yu. (2021). Research on Design Optimization of Prefabricated Residential Houses based on BIM Technology. Scientific Programming, 2021, 1-10.
  • Mang, J., Zainal, R., & Radzuan, I. S. M. (2018). Influence of Location Attributes on Home Buyers‘ Purchase Decision. International Journal of Supply Chain Management, 7(3), 94-100.
  • Grønhaug, K., Kleppe, I. A., & Haukedal, W. (1987). Observation of a Strategic Household Purchase Decision. Psychology & Marketing, 4(3), 239-253
  • Ismail, H., & Shaari, S. M. (2020). The Location, House, OR Neighbourhood Choice Preferences among Malaysian Housing Generations. Journal of Surveying, Construction and Property, 11(2), 64-74.
  • Markus, M. L. (1994). Finding a Happy Medium: Explaining the Negative Effects of Electronic Communication on Social Life at Work. ACM Transactions on Information Systems (TOIS), 12(2), 119-149.
  • Zelenkov, Y., & Lashkevich, E. (2023). Does Information and Communication Technology Really Affect Human Development? An Empirical Analysis. Information Technology for Development, 29(2-3), 329-347.
  • Barrero, J. M., Bloom, N., & Davis, S. J. (2023). The Evolution of Work from Home. Journal of Economic Perspectives, 37(4), 23-49.
  • Zhang, M., Li, Z., Si, H., Cheng, L., Zhou, X., & Wang, B. (2023). Urban Travel Time and Residential Location Choice: The Impacts of Traffic Congestion. Sustainable Cities and Society, 99, 104975.
  • Magara, T., & Zhou, Y. (2024). Internet of Things (IoT) of Smart Homes: Privacy and Security. Journal of Electrical and Computer Engineering, 2024(1), 7716956.
  • Kapucu, N., & Bilim, M. (2023). Internet of Things for Smart Homes and Smart Cities. In Smart Grid 3.0: Computational and Communication Technologies (pp. 331-356). Cham: Springer International Publishing.
  • Vasilevska, L., Vranić, P., & Vasilevska, M. (2022). Evaluating the Relationship between Urban Redevelopment of Large Housing Estates and Urban Green Space based on GIS–MCDM Approach: Empirical Experience from Niš, Serbia. Journal of Urban Planning and Development, 148(2), 05022005.
  • Taiwo, O. D. (2022). GIS-MCE Based Suitability Analysis for Sustainable Estate Development in Ede North LGA Osun State, Nigeria. Journal of Geoinformatics & Environmental Research (JGIER), 3(2).
  • Dawidowicz, A., & Dudzińska, M. (2022). The Potential of GIS Tools for Diagnosing the SFS of Multi-Family Housing towards Friendly Cities—A Case Study of the EU Member State of Poland. Sustainability, 14(11), 6642.
  • Djan, A., Oluwoye, J., & Ouf, A. (2024). GIS-Based Corporate Real Estate Assets Management: A Conceptual Framework. Global Journal of Research in Business Management, 4(1), 43-50.
  • Mohammad, A. B., Ali, S. H., & Fathi, R. (2022). Using Remote Sensing Techniques and GIS to Study of PM2. 5 and PM10 Concentrations in the Atmosphere of Mosul City, Iraq. Iraqi National Journal of Earth Science, 22(1), 15-26.
  • Ibrahim, F. A., Ishak, N., Woon, J. K. Y., Boying, W., Shafiei, M. W. M., Ismail, R., & Razak, R. A. (2023). Virtual Technology (VR) Attractiveness Attributes in Influencing House Buyers’ Intention to Purchase. Journal of Advanced Research in Applied Sciences and Engineering Technology, 29(2), 126-134.
  • Zulkifli, F., & Ismail, H. (2023). Factors Influencing House Buyer’s Decision in Malaysia. Case study: Sepang, Selangor. Planning Malaysia, 21.
  • Cheam, C. L., Ismail, Z., Zulkifli, P. N. R. A. M., Baharuddin, N. A., & Aziz, N. A. A. (2023). The Determinants of House Buyers Purchase Decisions in Kota Bharu, Kelantan, Planning Malaysia, 21.
  • Samudro, A., Hamdan, H., & Raharja, I. (2024). Home Purchase Decisions: An Analysis of Location, Promotion, and Price of Housing in Indonesia. Dinasti International Journal of Management Science, 5(5), 1027-1036.
  • Rahmawati, R., & Ismartaya, I. (2024). The Effect of Product Design, Promotion and Location on the Purchase Decision on the Green Java Housing, Kemang Bogor. International Journal of Management Analytics, 1(2).
  • Sudrajad, G., & Sutanto, J. E. (2020). The Influence of the Application of Marketing Mix on the Purchase Decision of Prospective Consumers of Grand Cempaka Housing. KnE Social Sciences, 140-151.
  • Sembiring, M. (2020). Model Analysis of Purchase Decision. Dinasti International Journal of Management Science, 1(3), 390-406.
  • Lovicu, G. P., Lim, J., Faferko, A., Gao, A., Suthakar, A., & Twohig, D. (2023). Fixed-rate Housing Loans: Monetary Policy Transmission and Financial Stability Risks. Bulletin, March 2023.
  • Ashour, W. A., & Sultan, W. A. (2020). Classification of the Financial Reality of the National Insurance Company for the Period (2008-2015) Using Cluster Analysis. AL-Rafidain Journal of Computer Sciences and Mathematics, 14(2), 25-37.
  • Okoro, C., & Umeokafor, N. (2023). A Review of Technology Application and Benefits in Comprehensive Facilities Management for Housing Quality Assurance. Proceedings of International Conference on Construction in the 21st Century (CITC-13), 8th - 11th May 2023, Arnhem, Netherlands.
  • Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage.

 

Al-Qadisiyah Journal for Engineering Sciences
Volume 18, Issue 1
Winter 2025
Pages 92-98

  • Receive Date 15 September 2024
  • Revise Date 10 January 2025
  • Accept Date 12 March 2025

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