Evaluation of the technology acceptance model of digital twins supported by artificial intelligence in the mining Metaverse: A partial least squares structural equation modelling analysis

Acosta-Quelopana A.M.; Stothard P.; Berrios-Espezúa M.G.; Rodríguez-Delgado J.J. · Mining Technology: Transactions of the Institutions of Mining and Metallurgy (2025) · DOI: 10.1177/25726668251348711

Resumen

Digital twins are an emerging technology that has been applied across various industries, driven by advancements in Artificial Intelligence, Metaverse, and Internet of Things within the framework of the fifth industrial revolution. Research on the adoption of these technologies remains limited, hence this gap is significant as the sector approaches Industry 5.0. Assessing technological acceptance among mining professionals is therefore essential. This study applies the Technology Acceptance Model 3 to examine factors influencing resistance and future adoption. Partial Least Squares Structural Equation Modelling and SmartPLS 4 are employed as advanced statistical tools. Results reveal high levels of discriminant validity, significance, determination coefficients, and reliability within the model, indicating that the 80 participants are receptive to adopting these technologies. In conclusion, the population perceives the emerging technology as useful but not necessarily easy to use. Finally, it is recommended to clarify how easy the proposed technology can be to use. © The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Instituciones: Universidad Nacional de San Agustín de Arequipa