Yang Hailan, Zhang Zixian, Jian Chen, Ahmad Nisar
School of Business, Shandong Jianzhu University, Jinan, Shandong, China.
School of Management, University of Scienceand Technology of China, Hefei, Anhui, China.
PLoS One. 2025 Jan 24;20(1):e0317993. doi: 10.1371/journal.pone.0317993. eCollection 2025.
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.
尽管许多组织已采用区块链技术（BCT）来提高效率和实现自动化，且用户对BCT的采用对公司而言变得至关重要，但很少有研究关注影响房地产行业采用BCT的因素。本研究旨在通过扩展技术接受模型（TAM）和任务-技术匹配（TTF）的视角，评估影响房地产行业采用BCT的因素。本研究采用定量调查方法。数据收集自中国311位房地产买卖双方。数据分析采用偏最小二乘结构方程模型（PLS-SEM）。研究结果表明，态度、感知有用性（PU）以及数据隐私与安全（DPS）在所提出的理论模型中影响最大。此外，研究结果还证实了感知易用性（PEOU）对态度的显著影响，以及TTF对采用BCT时PU和PEOU的影响。此外，还证实了感知兼容性（PC）对TTF与PEOU之间关系的调节作用。该研究对房地产买卖双方具有有益的实际意义，即采用BCT可提高效率、降低因中介产生的交易成本并增强安全系统。此外，该研究表明通过BCT实现的自动化将有助于达成定制协议并改善产权转让流程。
