Social Media Sentiments of Real Estate Investment on Blockchain Technology in Post-COVID-19
Keywords:
Blockchain, Real Estate, Investment, Tokenization, Sentimental AnalysisAbstract
The real estate sector is experiencing significant transformation in response to the impact of COVID-19, emphasizing the need for innovative approaches. This study examines the public's sentiment towards the adoption of blockchain technology, particularly digital tokens, for real estate investment in the post-pandemic era. Digital tokens offer numerous advantages, including fractional ownership, asset tokenization, real estate crowdfunding, streamlined property transactions, efficient rental management, enhanced property title records, and the creation of Real Estate Investment Trusts (REITs). These advantages could be realized by leveraging blockchain technology, resulting in enhanced liquidity, accessibility, transparency, and efficiency in the real estate sector. This article analyzed the sentiments expressed on social network platforms to understand the perceived benefits of utilizing blockchain-based digital tokens in real estate. Additionally, practical considerations related to the implementation of blockchain technology in the real estate sector were discussed, shedding light on the potentially transformative impact of this technology on the industry.
Downloads
References
H. Tanrıvermiş, “Possible impacts of COVID-19 outbreak on real estate sector and possible changes to adopt: A situation analysis and general assessment on Turkish perspective,” Journal of Urban Management, Elsevier BV, vol. 9, no. 3. pp. 263–269, 2020, doi: 10.1016/j.jum.2020.08.005.
G. Avci and Y. O. Erzurumlu, “Blockchain tokenization of real estate investment: a security token offering procedure and legal design proposal,” Journal of Property Research, Informa UK Limited., vol. 40, no. 2. pp. 188–207, 2023, doi: 10.1080/09599916.2023.2167665.
A. Baum, “Tokenization—The Future of Real Estate Investment?” The Journal of Portfolio Management, Pageant Media US., vol. 47, no. 10. pp. 41–61, 2021, doi: 10.3905/jpm.2021.1.260.
M. I. Khalid, J. Iqbal, A. Alturki, S. Hussain, A. Alabrah, and S. S. Ullah, “Blockchain-Based Land Registration System: A Conceptual Framework,” Applied Bionics and Biomechanics, Hindawi Limited., vol. 2022. pp. 1–21, 2022, doi: 10.1155/2022/3859629.
R. F. Ciriello, “Tokenized index funds: A blockchain-based concept and a multidisciplinary research framework,” International Journal of Information Management, Elsevier BV., vol. 61. p. 102400, Dec. 2021, doi: 10.1016/j.ijinfomgt.2021.102400.
A. Saari, S. Junnila, and J. Vimpari, “Blockchain’s Grand Promise for the Real Estate Sector: A Systematic Review,” Applied Sciences, MDPI AG., vol. 12, no. 23. p. 11940, Nov. 23, 2022, doi: 10.3390/app122311940.
A. Gupta, J. Rathod, D. Patel, J. Bothra, S. Shanbhag, and T. Bhalerao, “Tokenization of Real Estate Using Blockchain Technology,” Lecture Notes in Computer Science. Springer International Publishing, pp. 77–90, 2020, doi: 10.1007/978-3-030-61638-0_5.
P. Sharma, R. Jindal, and M. D. Borah, “A review of smart contract-based platforms, applications, and challenges,” Cluster Computing, Springer Science and Business Media LLC., vol. 26, no. 1. pp. 395–421, 2022, doi: 10.1007/s10586-021-03491-1.
T. Timuçin and S. Biroǧul, “Collaborative Smart Contracts (CoSC): example of real estate purchase and sale(s),” The Journal of Supercomputing, Springer Science and Business Media LLC., vol. 79, no. 12. pp. 13442–13461, 2023, doi: 10.1007/s11227-023-05196-1.
M. Hammad et al., “Blockchain-Based Decentralized Architecture for Software Version Control,” Applied Sciences, MDPI AG, vol. 13, no. 5. p. 3066, 2023, doi: 10.3390/app13053066.
A. Shahaab, I. A. Khan, R. Maude, C. Hewage, and Y. Wang, “Public service operational efficiency and blockchain – A case study of Companies House, UK,” Government Information Quarterly, Elsevier BV., vol. 40, no. 1. p. 101759, 2023, doi: 10.1016/j.giq.2022.101759.
W. Serrano, “Real Estate Tokenisation via Non-Fungible Tokens,” The 2022 4th International Conference on Blockchain Technology, ACM., 2022, doi: 10.1145/3532640.3532651.
S. S. Pande, S. Mandolikar, and S. Shitole, “Bitland-A Decentralized Commercial Real Estate Platform,” IEEE Bombay Section Signature Conference (IBSSC), IEEE., 2022, doi: 10.1109/ibssc56953.2022.10037494.
V. Khoa Tan and T. Nguyen, “The Real Estate Transaction Trace System Model Based on Ethereum Blockchain Platform,” 2022 14th International Conference on Computer and Automation Engineering (ICCAE), IEEE., 2022, doi: 10.1109/iccae55086.2022.9762429.
M. Laarabi, B. Chegri, A. M. Mohammadia, and K. Lafriouni, “Smart Contracts Applications in Real Estate: A Systematic Mapping Study,” 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), IEEE., 2022. doi: 10.1109/iraset52964.2022.9737796.
A. Belov and S. Slastnikov, “Blockchain Technology to Manage the Energy Supply of Real Estate,” 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), IEEE., 2021, doi: 10.1109/iemtronics52119.2021.9422552.
A. A. Varfolomeev, L. H. Alfarhani, and Z. Ch. Oleiwi, “Secure-reliable smart contract applications based blockchain technology in smart cities environment,” Procedia Computer Science, Elsevier BV., vol. 186. pp. 669–676, 2021, doi: 10.1016/j.procs.2021.04.188.
J. Veuger, “Dutch blockchain, real estate and land registration,” Journal of Property, Planning and Environmental Law, Emerald., vol. 12, no. 2. pp. 93–108, 2020, doi: 10.1108/jppel-11-2019-0053.
O. Konashevych, “Constraints and benefits of the blockchain use for real estate and property rights,” Journal of Property, Planning and Environmental Law, vol. 12, no. 2. Emerald, pp. 109–127, 2020, doi: 10.1108/jppel-12-2019-0061.
E. Pankratov, V. Grigoryev, and O. Pankratov, “The blockchain technology in real estate sector: Experience and prospects,” IOP Conference Series: Materials Science and Engineering, IOP Publishing., vol. 869, no. 6. p. 062010, 2020, doi: 10.1088/1757-899x/869/6/062010.
H. P. Wouda and R. Opdenakker, “Blockchain technology in commercial real estate transactions,” Journal of Property Investment & Finance, Emerald., vol. 37, no. 6. pp. 570–579, 2019, doi: 10.1108/jpif-06-2019-0085.
A. Proskurovska and S. Dörry, “The blockchain challenge for Sweden’s housing and mortgage markets,” Environment and Planning A: Economy and Space, SAGE Publications., vol. 54, no. 8. pp. 1569–1585, Aug. 17, 2022, doi: 10.1177/0308518x221116896.
Y. L. Chow and K. K. Tan, “Real Estate Insights Is tokenization of real estate ready for lift off in APAC?,” Journal of Property Investment & Finance, Emerald., vol. 40, no. 3. pp. 284–290, 2021, doi: 10.1108/jpif-10-2021-0087.
TokenX, "Discover the first residential Real Estate-Backed Token," [Online]. Available: https://realxtoken.finance/en.
A. Srivastava, A. Srivastava, and T. J. Siddiqui, “Sentiment Classification Using a Sense Enriched Lexicon-based Approach,” International Journal on Recent and Innovation Trends in Computing and Communication, Auricle Technologies, Pvt., Ltd., vol. 11, no. 5. pp. 208–215, 2023. doi: 10.17762/ijritcc.v11i5.6607.
Sofia Martinez, Machine Learning-based Fraud Detection in Financial Transactions , Machine Learning Applications Conference Proceedings, Vol 1 2021.
Verma, D. ., Reddy, A. ., & Thota, D. S. . (2021). Fungal and Bacteria Disease Detection Using Feature Extraction with Classification Based on Deep Learning Architectures. Research Journal of Computer Systems and Engineering, 2(2), 27:32. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/29
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.