Artificial Intelligence (AI)-Based Technology Adoption in the Construction Industry: A Cross National Perspective Using the Technology Acceptance Model
Article
Na, S., Heo, S., Choi, W., Kim, C. and Whang, S. 2023. Artificial Intelligence (AI)-Based Technology Adoption in the Construction Industry: A Cross National Perspective Using the Technology Acceptance Model. Buildings. 13 (10), p. 2518. https://doi.org/10.3390/buildings13102518
Authors | Na, S., Heo, S., Choi, W., Kim, C. and Whang, S. |
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Abstract | The research has chosen the workers in construction-related companies in South Korea and the United Kingdom (UK) as research subjects in order to analyse factors that influence their usage intention of Artificial Intelligence (AI) based technologies. The perceived usefulness had a positive impact (+) on technological satisfaction and usage intention in terms of the commonalities shown by the construction industry workers in both countries, South Korea and the UK, in adopting AI-based technologies. Moreover, the most remarkable differences were personal competence and social influence when choosing AI-based technologies. It was analysed that in the case of South Korea, personal competence had a positive impact (+) on perceived ease of use, whereas the UK had |
Keywords | Artificial intelligence; Construction industry; Technology acceptance model; Cross culture; Structural equation model |
Journal | Buildings |
Journal citation | 13 (10), p. 2518 |
ISSN | 2075-5309 |
Year | 2023 |
Publisher | MDPI |
Publisher's version | License File Access Level Anyone |
Digital Object Identifier (DOI) | https://doi.org/10.3390/buildings13102518 |
Publication dates | |
Online | 04 Oct 2023 |
Publication process dates | |
Accepted | 26 Sep 2023 |
Deposited | 25 Oct 2023 |
Copyright holder | © 2023, The Authors |
https://repository.uel.ac.uk/item/8ww92
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[2023]_(Q1)_Artificial Intelligence (AI) Based Technology Adoption in the.pdf | ||
License: CC BY 4.0 | ||
File access level: Anyone |
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