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Cai, J, Li, Z, Dou, Y and Li, T (2023) Investigating adoption of high prefabrication level technologies for enterprises: an integrated model. Building Research & Information, 51(06), 648–66.

  • Type: Journal Article
  • Keywords: Prefabricated construction; high prefabrication level technologies; construction technology adoption; the unified theory of acceptance and use of technology; task-technology fit theory;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2023.2187748
  • Abstract:
    Prefabricated construction (PC) contributes to the sustainability of the construction sector, with higher levels of prefabrication providing better performance in theory. However, enterprises have great expectations for the performance of high prefabrication level technologies (HPLTs) but poor adoption behaviours in practice. To address this issue, this study explored the mechanisms of HPLTs adoption from the enterprise perspective, by complementing an integrated model that combines expectations and the fit between tasks and technologies, based on the unified theory of acceptance and use of technology and the task-technology fit theory. The significance of paths affecting the adoption behaviour toward HPLTs was identified by the partial least squares structural equation modelling. The results show that adoption intention and task-technology fit are excellent predictors of adoption behaviour toward HPLTs. Social influence, facilitating conditions, task-technology fit, effort expectancy and task characteristics positively affect adoption intention, while performance expectancy is not found to influence adoption intention. The mediating effect analysis indicates that social influence currently has the largest indirect effect on adoption behaviour, followed by facilitating conditions and task-technology fit. The findings contribute to building a bridge between the expectations and adoption behaviours of HPLTs, and provide guidance for the effective promotion of HPLTs.

Cai, S and Gou, Z (2023) Synchronization of water-energy consumption in residential and non-residential buildings during COVID-19. Building Research & Information, 51(06), 682–700.

Hidalgo-Sánchez, F M, Torres-González, M, Mascort-Albea, E J, Canivell, J, Romero-Hernández, R and Martín-del-Río, J J (2023) NDT spatial data integration for monumental buildings: technical information management for the Royal Alcazar of Seville. Building Research & Information, 51(06), 625–47.

Liu, F, Chang-Richards, A, Wang, K I and Dirks, K N (2023) Critical indoor environmental factors affecting productivity: perspectives from university staff and postgraduate students. Building Research & Information, 51(06), 730–45.

Liu, K, Liu, Y, Kou, Y, Yang, X and Hu, G (2023) Formation mechanism for collaborative behaviour among stakeholders in megaprojects based on the theory of planned behaviour. Building Research & Information, 51(06), 667–81.

Nikoopayan Tak, M S, Bhattacharya, A, Metcalf, A R and Mousavi, E (2023) Cleanroom air quality: combined effects of ventilation rate and filtration schemes in a laboratory cleanroom. Building Research & Information, 51(06), 717–29.

Wei, L, Liu, G, Liu, W, Li, W and Yuan, Y (2023) Airborne infection risk in classrooms based on environment and occupant behavior measurement under COVID-19 epidemic. Building Research & Information, 51(06), 701–16.