Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model.
Although many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317993 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832540158108368896 |
|---|---|
| author | Hailan Yang Zixian Zhang Chen Jian Nisar Ahmad |
| author_facet | Hailan Yang Zixian Zhang Chen Jian Nisar Ahmad |
| author_sort | Hailan Yang |
| collection | DOAJ |
| description | Although many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors affecting the adoption of BCT in real estate by the lens of an extended Technology Acceptance Model (TAM) and Task-technology fit (TTF). This current study uses quantitative survey approach. Data were collected from 311 real sector buyers and sellers in China. Partial least square structural equation modeling (PLS-SEM) was used for data analysis. The study's findings indicate that attitude, perceived usefulness (PU) and data privacy and security (DPS) exerts highest influence in the proposed theoretical model. In addition, the findings also confirmed the significant impact of perceived ease of use (PEOU) on attitude, and TTF impact on PU and PEOU in adoption of BCT. Furthermore, the moderating impact of perceived compatibility (PC) on the relationship between TTF and PEOU was also confirmed. The study has useful practical implications for the real estate buyers and sellers that adoption of BCT improves efficiency, reduce transaction cost incur due to intermediaries, and enhance security system. Furthermore, the study suggests that automation achieved through BCT will facilitate customized agreements and improve process of title transfer. |
| format | Article |
| id | doaj-art-0a1e621a2b98482f854439fed4d5298c |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-0a1e621a2b98482f854439fed4d5298c2025-02-05T05:32:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031799310.1371/journal.pone.0317993Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model.Hailan YangZixian ZhangChen JianNisar AhmadAlthough many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors affecting the adoption of BCT in real estate by the lens of an extended Technology Acceptance Model (TAM) and Task-technology fit (TTF). This current study uses quantitative survey approach. Data were collected from 311 real sector buyers and sellers in China. Partial least square structural equation modeling (PLS-SEM) was used for data analysis. The study's findings indicate that attitude, perceived usefulness (PU) and data privacy and security (DPS) exerts highest influence in the proposed theoretical model. In addition, the findings also confirmed the significant impact of perceived ease of use (PEOU) on attitude, and TTF impact on PU and PEOU in adoption of BCT. Furthermore, the moderating impact of perceived compatibility (PC) on the relationship between TTF and PEOU was also confirmed. The study has useful practical implications for the real estate buyers and sellers that adoption of BCT improves efficiency, reduce transaction cost incur due to intermediaries, and enhance security system. Furthermore, the study suggests that automation achieved through BCT will facilitate customized agreements and improve process of title transfer.https://doi.org/10.1371/journal.pone.0317993 |
| spellingShingle | Hailan Yang Zixian Zhang Chen Jian Nisar Ahmad Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model. PLoS ONE |
| title | Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model. |
| title_full | Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model. |
| title_fullStr | Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model. |
| title_full_unstemmed | Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model. |
| title_short | Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model. |
| title_sort | exploring real estate blockchain adoption an empirical study based on an integrated task technology fit and technology acceptance model |
| url | https://doi.org/10.1371/journal.pone.0317993 |
| work_keys_str_mv | AT hailanyang exploringrealestateblockchainadoptionanempiricalstudybasedonanintegratedtasktechnologyfitandtechnologyacceptancemodel AT zixianzhang exploringrealestateblockchainadoptionanempiricalstudybasedonanintegratedtasktechnologyfitandtechnologyacceptancemodel AT chenjian exploringrealestateblockchainadoptionanempiricalstudybasedonanintegratedtasktechnologyfitandtechnologyacceptancemodel AT nisarahmad exploringrealestateblockchainadoptionanempiricalstudybasedonanintegratedtasktechnologyfitandtechnologyacceptancemodel |