Research and Academic Entrepreneurship: Technological Transfer in the Contexts of Digital Transition and Decarbonisation of the Built Environment
Published 2025-11-07
Keywords
- Digital Transition,
- Decarbonization,
- BIM,
- Digital Twin,
- Predictive Maintenance
How to Cite
Copyright (c) 2025 Maria Azzalin

This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
Interoperability, digitisation, information management, smart technologies, and digital twins are some of the key elements defining the corporate mission of BIGsrl, an Academic Spin-off. These open issues present research and development opportunities capable of driving economic growth and sustainability within the processes of transformation of the built environment. Simultaneously, the construction, experimentation, and implementation of a Management Model for the digital management of the built environment define its operational framework, creating specific technological transfer experiences. These experiences involve their related impacts and benefit, returns in terms of training, and new potential research horizons, thereby confirming BIGsrl’s role as an innovation player.
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References
- Baghalzadeh Shishehgarkhaneh, M., Keivani, K., Moehler, R.C., Jelodari, N. and Roshdi Laleh, S. (2022), “Internet of Things (IoT), building information modeling (BIM), and digital twin (DT) in construction industry: A Review, Bibliometric, and Network Analysis”, Buildings, Vol.12, issue 10, article 1503. Available at: https://doi.org/10.3390/buildings12101503 (Accessed on 07/02/2025). DOI: https://doi.org/10.3390/buildings12101503
- Banfi, F., Brumana, R., Salvalai, G. and Previtali, M. (2022), “Digital twin and cloud BIM-XR platform development: From scan-to-BIM-to-DT process to a 4D multi-user live app to improve building comfort, efficiency and costs”, Energies, Vol. 15, issue 12, article 4497. Available at: https://doi.org/10.3390/en15124497 (Accessed on 12/02/2025). DOI: https://doi.org/10.3390/en15124497
- Boton, C. (2018), “Supporting constructability analysis meetings with Immersive Virtual Reality-based collaborative BIM 4D simulation”. Automation in Construction, Vol. 96, pp. 1–15. Available at: https://doi.org/10.1016/j.autcon.2018.08.020 (Accessed on 12/02/2025). DOI: https://doi.org/10.1016/j.autcon.2018.08.020
- Errandonea, I., Beltrán, S. and Arrizabalaga, S. (2020), “Digital Twin for maintenance: A literature review”, Computers in Industry, Vol. 123, article 103316. Available at: https://doi.org/10.1016/j.compind.2020.103316123 (Accessed on 07/02/2025). DOI: https://doi.org/10.1016/j.compind.2020.103316
- European Commission (2020a), Stepping up Europe’s 2030 climate ambition. Investing in a climate-neutral future for the benefit of our people, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Document 52020DC0562, COM/2020/562 final. Available at: https://eur-lex.europa.eu/legal-content/IT/TXT/PDF/?uri=CELEX:52020DC0562 (Accessed on 07/02/2025).
- European Commission (2021a), Fit for 55’. Delivering the EU’s 2030 climate target on the way to climate neutrality, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Document 52021DC0550, COM/2021/550 final. Available at: https://eur-lex.europa.eu/legal-content/IT/TXT/PDF/?uri=CELEX:52021DC0550 (Accessed on 07/02/2025).
- European Commission (2021b), Towards a green, digital and resilient economy: our European Growth Model, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Document 52022DC0083, COM/2022/83 final. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52022DC0083 (Accessed on 07/02/2025).
- EU-European Union (2020), Knowledge Transfer Metrics. Towards a European–wide set of harmonised indicators. Available at: https://publications.jrc.ec.europa.eu/repository/handle/JRC120716 (Accessed on 07/02/2025).
- Foray, D. (2006), The Economics of Knowledge, The MIT Press, Cambridge, Massachusetts. Edizione italiana a cura di Saraceno, F. (2006), L’economia della conoscenza, Il Mulino, Milano.
- Frondizi, R. (2020), La Terza Missione delle Università. Strategia, Valutazione e Performance, Giappichelli Editore, Torino.
- Kulinan, A.S., Park, M. Aung, P.P.W., Cha, G. and Park, S. (2024), “Advancing construction site workforce safety monitoring through BIM and computer vision integration”, Automation in Construction, Vol. 158, article 105227 Available at: https://doi.org/10.1016/j.autcon.2023.105227. (Accessed on 17/02/2025). DOI: https://doi.org/10.1016/j.autcon.2023.105227
- Lauria, M. and Azzalin, M. (2020), “A Maintenance Management Model. Upgrading and Experimentation”, in Serrat C., Ramon Casas J. and Gibert V., Current Topics and Trends on Durability of Building Materials and Components, DBMC 2020 (Eds), pp. 677-684, Available at: https://www.scipedia.com/public/Lauria_Azzalin_2020a. (Accessed on 12/02/2025).
- Lauria, M. and Azzalin, M. (2022), “Digital twin approach for Maintenance Management”, in Arbizzani, E. et al. (Eds), Technological Imagination in the Green and Digital Transition. CONF.ITECH 2022, The Urban Book Series, Springer, Cham. Available at: https://doi.org/10.1007/978-3-031-29515-7_22 (Accessed on 12/02/2025). DOI: https://doi.org/10.1007/978-3-031-29515-7_22
- Lauria, M., Azzalin, M. (2023) “Intelligent construction via Digital Twin approach” in: XVI International Conference on Durability of Building Materials and Components, DBMC 2023, China, K.F. Li and D.P. Fang (Eds) Available at: https://www.scipedia.com/wd/images/2/2e/Draft_Sanchez_Pinedo_19064154985.pdf (Accessed on 12/02/2025).
- Lauria, M. and Azzalin, M. (2024), “Digital Transformation in the Construction Sector: A Digital Twin for Seismic Safety in the Life Cycle of Buildings”, Sustainability, Vol. 16, issue 18, article 8245 Available at: https://doi.org/10.3390/su16188245 (Accessed on 12/02/2025). DOI: https://doi.org/10.3390/su16188245
- Mirzaei, K., Arashpour, M., Asadi, E., Masoumi, H., Bai, Y. and Behnood, A. (2022), “3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review”, Advanced Engineering Informatics, vol. 51, article 101501. Available at: https://doi.org/10.1016/j.aei.2021.101501 (Accessed on 17/02/2025). DOI: https://doi.org/10.1016/j.aei.2021.101501
- Mishra, M., Lourenço, B.P. and Ramana, G.V. (2022), “Structural health monitoring of civil engineering structures by using the internet of things: A review”, Journal of Building Engineering, vol. 48, article 103954. Available at: https://doi.org/10.1016/j.jobe.2021.103954 (Accessed on 07/02/2025). DOI: https://doi.org/10.1016/j.jobe.2021.103954
- Nawrocka, N., Machova, M., Jensen, R.L., Kanafani, K., Birgisdottir, H. and Hoxha, E. (2023), “Influence of BIM’s level of detail on the environmental impact of buildings: Danish context”, Building and Environment, vol. 245, article 110875. Available at: https://doi.org/10.1016/j.buildenv.2023.110875. (Accessed on 17/02/2025). DOI: https://doi.org/10.1016/j.buildenv.2023.110875
- Netval (2024), 19° Rapporto Netval, Network per la Valorizzazione della Ricerca, La Tribuna Srl, Piacenza. Available at: https://netval.it/rapporti-netval/rapporto-netval-2024/. (Accessed on 07/02/2025).
- ONU (2015), Transforming our word. The 2030 Agenda for Sustainable Development, Resolution adopted by the General Assembly on 25,09.2015. Available at: https://www.refworld.org/legal/resolution/unga/2015/en/111816. (Accessed on 07/02/2025).
- Pérez, Y., Ávila, J. and Sánchez, O. (2024), “Influence of BIM and Lean on mitigating delay factors in building projects”, Results in Engineering, vol. 22, article 102236. Available at: https://doi.org/10.1016/j.rineng.2024.102236. (Accessed on 17/02/2025). DOI: https://doi.org/10.1016/j.rineng.2024.102236
- Rogage, K. and Doukari, O. (2024), “3D object recognition using deep learning for automatically generating semantic BIM data”, Automation in Construction, vol. 162, article 105366. Available at: https://doi.org/10.1016/j.autcon.2024.105366. (Accessed on 12/02/2025). DOI: https://doi.org/10.1016/j.autcon.2024.105366
- Sepasgozar, S. M., Khan, A. A., Smith, K., Romero, J. G., Shen, X., Shirowzhan, S., Li, H., and Tahmasebinia, F. (2023), “BIM and Digital Twin for Developing Convergence Technologies as Future of Digital Construction” Buildings, vol. 13, issue 2, article 441. Available at: https://doi.org/10.3390/buildings13020441. (Accessed on 12/02/2025). DOI: https://doi.org/10.3390/buildings13020441
- Wang, A., Dong, J., Lee, L.H., Shen, J. and Hui, P. (2024), “A Survey on Deep Learning for Design and Generation of Virtual Architecture”, ACM Computing Surveys, vol. 57, issue 2, article 29, pp. 1-41. Available at: https://doi.org/10.1145/3688569. (Accessed on 17/02/2025). DOI: https://doi.org/10.1145/3688569
- Westergren, U.H., Mähler, V. and Jadaan, T. (2024), “Enabling Digital Transformation: Organizational Implementation of the Internet of Things”, Information & Management, vol. 61, issue 6, article 103996. Available at: https://doi.org/10.1016/j.im.2024.103996. (Accessed on 12/02/2025). DOI: https://doi.org/10.1016/j.im.2024.103996
- Xu, J., Shu, X., Qiao, P., Li, S. and Xu, J. (2023), “Developing a digital twin model for monitoring building structural health by combining a building information model and a real-scene 3D model” Measurement, vol. 217, article 112955. Available at: https://doi.org/10.1016/j.measurement.2023.112955 (Accessed on 07/02/2025). DOI: https://doi.org/10.1016/j.measurement.2023.112955
- Yin, Y., Zheng, P., Li, C. and Wang, L. (2023), “A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation”, Robotics and Computer-Integrated Manufacturing, vol. 81, issue C, article 102515. Available at: https://doi.org/10.1016/j.rcim.2022.102515 (Accessed on 07/02/2025). DOI: https://doi.org/10.1016/j.rcim.2022.102515
