Share:


Are we there or do we have more to do? Metaverse in facility management and future prospects

    Asmae El Jaouhari   Affiliation
    ; Jabir Arif Affiliation
    ; Ashutosh Samadhiya   Affiliation
    ; Anil Kumar   Affiliation
    ; Vaidotas Trinkūnas Affiliation

Abstract

Businesses are eager to adopt new technologies such as augmented reality, blockchain, extended reality, and artificial intelligence, among others, as they see beneficial applications for strategic empowerment. As one of the technological disruptions, metaverse has caught the attention of the larger business community and facility management (FM) sector. In a world where various virtual realities converge, the hyper-connected digital universe known as the metaverse has the potential to fundamentally alter how FM and business interactions are conducted in the future. More people are spending time conducting business online, increasing the metaverse’s potential. Businesses are also making significant investments in the development of metaverse techniques. This study reviews the current literature to comprehend how metaverse techniques have shaped the building blocks of FM by looking at 206 papers. There is currently a dearth of functional metaverse research. This article aims to provide a thorough analysis of the integration of metaverse techniques for facility management. The review reveals several opportunities for further research into the FM-metaverse ecosystem, including improving data interoperability, enhancing the precision of point cloud data for as-built models of existing facilities, and producing efficient virtual property database integration.

Keyword : metaverse, facility management, blockchain, virtual reality, extended reality, literature review

How to Cite
El Jaouhari, A., Arif, J., Samadhiya, A., Kumar, A., & Trinkūnas, V. (2023). Are we there or do we have more to do? Metaverse in facility management and future prospects. International Journal of Strategic Property Management, 27(3), 159–175. https://doi.org/10.3846/ijspm.2023.19516
Published in Issue
Aug 1, 2023
Abstract Views
721
PDF Downloads
560
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Abdelouahid, R. A., Debauche, O., & Marzak, A. (2021). Internet of things: a new interoperable IoT platform. Application to a smart building. Procedia Computer Science, 191, 511–517. https://doi.org/10.1016/j.procs.2021.07.066

Acerbi, F., Forterre, D. A., & Taisch, M. (2021). Role of artificial intelligence in circular manufacturing: a systematic literature review. IFAC-PapersOnLine, 54(1), 367–372. https://doi.org/10.1016/j.ifacol.2021.08.040

Alexa, L., Pîslaru, M., & Avasilcăi, S. (2022). From Industry 4.0 to Industry 5.0–an overview of European Union enterprises. In A. Draghici & L. Ivascu (Eds.), Sustainability and innovation in manufacturing enterprises: indicators, models and assessment for Industry 5.0 (pp. 221–231). Springer. https://doi.org/10.1007/978-981-16-7365-8_8

AL-Salman, H. I., & Salih, M. H. (2019). A review cyber of Industry 4.0 (Cyber-Physical Systems (CPS), the Internet of Things (IoT) and the Internet of Services (IoS)): components, and security challenges. Journal of Physics: Conference Series, 1424(1), 012029. https://doi.org/10.1088/1742-6596/1424/1/012029

Arisekola, K., & Madson, K. (2023). Digital twins for asset management: social network analysis-based review. Automation in Construction, 150, 104833. https://doi.org/10.1016/j.autcon.2023.104833

Arunmozhi, M., Venkatesh, V. G., Arisian, S., Shi, Y., & Raja Sreedharan, V. (2022). Application of blockchain and smart contracts in autonomous vehicle supply chains: an experimental design. Transportation Research Part E: Logistics and Transportation Review, 165, 102864. https://doi.org/10.1016/j.tre.2022.102864

Babalola, A., Manu, P., Cheung, C., Yunusa-Kaltungo, A., & Bartolo, P. (2023). A systematic review of the application of immersive technologies for safety and health management in the construction sector. Journal of Safety Research, 85, 66–85. https://doi.org/10.1016/j.jsr.2023.01.007

Babinskė, J., & Apanavičienė, R. (2020). Efficiency of facility management: theoretical aspects. Mokslas – Lietuvos ateitis / Science – Future of Lithuania, 12, 1–7. https://doi.org/10.3846/mla.2020.11348

Banfi, F., Brumana, R., Salvalai, G., & 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, 15(12), 4497. https://doi.org/10.3390/en15124497

Bányai, Á., Illés, B., Glistau, E., Machado, N. I. C., Tamás, P., Manzoor, F., & Bányai, T. (2019). Smart cyber-physical manufacturing: extended and real-time optimization of logistics resources in matrix production. Applied Sciences, 9(7), 1287. https://doi.org/10.3390/app9071287

Barnawi, A., Chhikara, P., Tekchandani, R., Kumar, N., & Alzahrani, B. (2021). Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging. Future Generation Computer Systems, 124, 119–132. https://doi.org/10.1016/j.future.2021.05.019

Bartram, S. M., Branke, J., & Motahari, M. (2020). Artificial intelligence in asset management. CFA Institute Research Foundation. https://doi.org/10.2139/ssrn.3692805

Berg, L. P., & Vance, J. M. (2017). Industry use of virtual reality in product design and manufacturing: a survey. Virtual Reality, 21(1), 1–17. https://doi.org/10.1007/s10055-016-0293-9

Boland, B. (2023). Extended reality vocational training’s ability to improve soft skills development and increase equity in the workforce. https://doi.org/10.5772/acrt.22

Casini, M. (2022). Extended reality for smart building operation and maintenance: a review. Energies, 15(10), 3785. https://doi.org/10.3390/en15103785

Chadalavada, R. T., Andreasson, H., Schindler, M., Palm, R., & Lilienthal, A. J. (2020). Bi-directional navigation intent communication using spatial augmented reality and eye-tracking glasses for improved safety in human–robot interaction. Robotics and Computer-Integrated Manufacturing, 61, 101830. https://doi.org/10.1016/j.rcim.2019.101830

Chen, H., Hou, L., Zhang, G. (Kevin), & Moon, S. (2021). Development of BIM, IoT and AR/VR technologies for fire safety and upskilling. Automation in Construction, 125, 103631. https://doi.org/10.1016/j.autcon.2021.103631

Chengoden, R., Victor, N., Huynh-The, T., Yenduri, G., Jhaveri, R. H., Alazab, M., Bhattacharya, S., Hegde, P., Maddikunta, P. K. R., & Gadekallu, T. R. (2023). Metaverse for healthcare: a survey on potential applications, challenges and future directions. IEEE Access, 11, 12765–12795. https://doi.org/10.1109/ACCESS.2023.3241628

Choi, M.-Y., & Jun, S. (2020). Fire risk assessment models using statistical machine learning and optimized risk indexing. Applied Sciences, 10(12), 4199. https://doi.org/10.3390/app10124199

Conforto, E. C., & Amaral, D. C. (2016). Agile project management and stage-gate model–a hybrid framework for technology-based companies. Journal of Engineering and Technology Management, 40, 1–14. https://doi.org/10.1016/j.jengtecman.2016.02.003

Coronado, E., Kiyokawa, T., Ricardez, G. A. G., Ramirez-Alpizar, I. G., Venture, G., & Yamanobe, N. (2022). Evaluating quality in human-robot interaction: a systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0. Journal of Manufacturing Systems, 63, 392–410. https://doi.org/10.1016/j.jmsy.2022.04.007

De Giovanni, P. (Ed.). (2021). Digital supply chain through IoT, design quality, and circular economy. In Dynamic quality models and games in digital supply chains: how digital transformation impacts supply chain quality management (pp. 57–89). Springer International Publishing. https://doi.org/10.1007/978-3-030-66537-1_4

Demirdöğen, G., Işık, Z., & Arayici, Y. (2023). BIM-based big data analytic system for healthcare facility management. Journal of Building Engineering, 64, 105713. https://doi.org/10.1016/j.jobe.2022.105713

Denyer, D., & Tranfield, D. (2009). Producing a systematic review. In The Sage handbook of organizational research methods (pp. 671–689). Sage Publications Ltd.

Dincelli, E., & Yayla, A. (2022). Immersive virtual reality in the age of the Metaverse: a hybrid-narrative review based on the technology affordance perspective. The Journal of Strategic Information Systems, 31(2), 101717. https://doi.org/10.1016/j.jsis.2022.101717

El Ammari, K., & Hammad, A. (2019). Remote interactive collaboration in facilities management using BIM-based mixed reality. Automation in Construction, 107, 102940. https://doi.org/10.1016/j.autcon.2019.102940

Entezami, A., Shariatmadar, H., & De Michele, C. (2022). Non-parametric empirical machine learning for short-term and long-term structural health monitoring. Structural Health Monitoring, 21(6), 2700–2718. https://doi.org/10.1177/14759217211069842

Fazal, N., Haleem, A., Bahl, S., Javaid, M., & Nandan, D. (2022). Digital management systems in manufacturing using Industry 5.0 technologies. In P. Verma, O. D. Samuel, T. N. Verma, & G. Dwivedi (Eds.), Advancement in materials, manufacturing and energy engineering (Vol. II, pp. 221–234). Springer Nature. https://doi.org/10.1007/978-981-16-8341-1_18

Giang Barrera, K., & Shah, D. (2023). Marketing in the Metaverse: conceptual understanding, framework, and research agenda. Journal of Business Research, 155, 113420. https://doi.org/10.1016/j.jbusres.2022.113420

Hackl, C., Lueth, D., & Bartolo, T. D. (2022). Navigating the metaverse: a guide to limitless possibilities in a Web 3.0 world. John Wiley & Sons.

Hamledari, H., & Fischer, M. (2021). Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies. Automation in Construction, 132, 103926. https://doi.org/10.1016/j.autcon.2021.103926

Hammad, A., Garrett, J., & Karimi, H. A. (2012). Potential of mobile augmented reality for infrastructure field tasks. In Applications of advanced technologies in transportation (pp. 425–432). American Society of Civil Engineers. https://doi.org/10.1061/40632(245)54

Huang, X., Wu, X., & Usmani, A. (2022). Perspectives of using artificial intelligence in building fire safety. In Handbook of cognitive and autonomous systems for fire resilient infrastructures (pp. 139–159). Springer. https://doi.org/10.1007/978-3-030-98685-8_6

Huynh-The, T., Gadekallu, T. R., Wang, W., Yenduri, G., Ranaweera, P., Pham, Q.-V., da Costa, D. B., & Liyanage, M. (2023). Blockchain for the metaverse: a review. Future Generation Computer Systems, 143, 401–419. https://doi.org/10.1016/j.future.2023.02.008

Itoh, Y., Langlotz, T., Sutton, J., & Plopski, A. (2021). Towards indistinguishable augmented reality: a survey on optical see-through head-mounted displays. ACM Computing Surveys, 54(6), 1–36. https://doi.org/10.1145/3453157

Jiang, Y., Li, M., Guo, D., Wu, W., Zhong, R. Y., & Huang, G. Q. (2022). Digital twin-enabled smart modular integrated construction system for on-site assembly. Computers in Industry, 136, 103594. https://doi.org/10.1016/j.compind.2021.103594

K.E.K, V., Kandasamy, J., Nadeem, S. P., Kumar, A., Šaparauskas, J., Garza-Reyes, J. A., & Trinkūnienė, E. (2021). Developing a strategic sustainable facility plan for a hospital layout using ELECTRE and Apples procedure. International Journal of Strategic Property Management, 25(1), 17–33. https://doi.org/10.3846/ijspm.2020.13733

Kar, A. K., & Varsha, P. S. (2023). Unravelling the techno-functional building blocks of metaverse ecosystems – a review and research agenda. International Journal of Information Management Data Insights, 100176. https://doi.org/10.1016/j.jjimei.2023.100176

Kara, P. A., Tamboli, R. R., Adhikarla, V. K., Balogh, T., Guindy, M., & Simon, A. (2023). Connected without disconnection: overview of light field metaverse applications and their quality of experience. Displays, 78, 102430. https://doi.org/10.1016/j.displa.2023.102430

Khan, T., Tian, W., Zhou, G., Ilager, S., Gong, M., & Buyya, R. (2022). Machine learning (ML)-centric resource management in cloud computing: a review and future directions. Journal of Network and Computer Applications, 204, 103405. https://doi.org/10.1016/j.jnca.2022.103405

Kim, K., Kim, H., Kim, W., Kim, C., Kim, J., & Yu, J. (2018). Integration of ifc objects and facility management work information using Semantic Web. Automation in Construction, 87, 173–187. https://doi.org/10.1016/j.autcon.2017.12.019

Kinelski, G. (2020). The main factors of successful project management in the aspect of energy enterprises’ efficiency in the digital economy environment. Polityka Energetyczna – Energy Policy Journal, 23(3), 5–20. https://doi.org/10.33223/epj/126435

Klaine, P. V., Zhang, L., Zhou, B., Sun, Y., Xu, H., & Imran, M. (2020). Privacy-preserving contact tracing and public risk assessment using blockchain for COVID-19 pandemic. IEEE Internet of Things Magazine, 3(3), 58–63. https://doi.org/10.1109/IOTM.0001.2000078

Koo, B., Choi, H., & Shon, T. (2009). WIVA: WSN monitoring framework based on 3D visualization and augmented reality in mobile devices. In Ambient assistive health and wellness management in the heart of the city (pp. 158–165). Springer. https://doi.org/10.1007/978-3-642-02868-7_20

Kral, P., Janoskova, K., & Potcovaru, A.-M. (2022). Digital consumer engagement on blockchain-based metaverse platforms: extended reality technologies, spatial analytics, and immersive multisensory virtual spaces. Linguistic and Philosophical Investigations, 21, 252–267. https://doi.org/10.22381/lpi21202216

Kuliga, S. F., Thrash, T., Dalton, R. C., & Hölscher, C. (2015). Virtual reality as an empirical research tool – exploring user experience in a real building and a corresponding virtual model. Computers, Environment and Urban Systems, 54, 363–375. https://doi.org/10.1016/j.compenvurbsys.2015.09.006

Küntzer, L., Nather, T., Krost, M., Zenner, T., & Rock, G. (2022). Extended reality prototyping for transdisciplinary collaboration in product development. International Journal of Agile Systems and Management, 15(4), 417–437. https://doi.org/10.1504/IJASM.2022.128231

Künz, A., Rosmann, S., Loria, E., & Pirker, J. (2022). The potential of augmented reality for digital twins: a literature review. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 389–398), Christchurch, New Zealand. https://doi.org/10.1109/VR51125.2022.00058

Lee, J. Y., Irisboev, I. O., & Ryu, Y.-S. (2021). Literature review on digitalization in facilities management and facilities management performance measurement: contribution of Industry 4.0 in the global era. Sustainability, 13(23), 13432. https://doi.org/10.3390/su132313432

Lemos, J., Gaspar, P. D., & Lima, T. M. (2022). Environmental risk assessment and management in Industry 4.0: a review of technologies and trends. Machines, 10(8), 702. https://doi.org/10.3390/machines10080702

Li, Y., Zhang, Y., Wei, J., & Han, Y. (2019). Status quo and future directions of facility management: a bibliometric – qualitative analysis. International Journal of Strategic Property Management, 23(5), 354–365. https://doi.org/10.3846/ijspm.2019.9943

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of Clinical Epidemiology, 62(10), e1–e34. https://doi.org/10.1016/j.jclinepi.2009.06.006

López-Robles, J.-R., Otegi-Olaso, J.-R., Cobo, M.-J., Bertolin-Furstenau, L., Kremer-Sott, M., López-Robles, L.-D., & Gamboa-Rosales, N.-K. (2020). The relationship between project management and Industry 4.0: bibliometric analysis of main research areas through Scopus. In 3rd International Conference on Research and Education in Project Management (pp. 1–4), Bilbao, Spain. http://eprints.rclis.org/40508/

Lu, J. (2021). Mobile augmented reality technology for design and implementation of library document push system. Journal of Real-Time Image Processing, 18(2), 283–293. https://doi.org/10.1007/s11554-020-01048-w

Lyons, N. (2022). Talent acquisition and management, immersive work environments, and machine vision algorithms in the virtual economy of the metaverse. Psychosociological Issues in Human Resource Management, 10(1), 121–134. https://doi.org/10.22381/pihrm10120229

Maas, M. J., & Hughes, J. M. (2020). Virtual, augmented and mixed reality in K–12 education: a review of the literature. Technology, Pedagogy and Education, 29(2), 231–249. https://doi.org/10.1080/1475939X.2020.1737210

Mandičák, T., Mésároš, P., Kanáliková, A., & Špak, M. (2021). Supply chain management and big data concept effects on economic sustainability of building design and project planning. Applied Sciences, 11(23), 11512. https://doi.org/10.3390/app112311512

Mannino, A., Dejaco, M. C., & Re Cecconi, F. (2021). Building information modelling and internet of things integration for facility management–literature review and future needs. Applied Sciences, 11(7), 3062. https://doi.org/10.3390/app11073062

Marzouk, M., & Zaher, M. (2020). Artificial intelligence exploitation in facility management using deep learning. Construction Innovation, 20(4), 609–624. https://doi.org/10.1108/CI-12-2019-0138

Mathis, F., Williamson, J. H., Vaniea, K., & Khamis, M. (2021). Fast and secure authentication in virtual reality using coordinated 3D manipulation and pointing. ACM Transactions on Computer-Human Interaction, 28(1), 1–44. https://doi.org/10.1145/3428121

May, K. W., Kc, C., Ochoa, J. J., Gu, N., Walsh, J., Smith, R. T., & Thomas, B. H. (2022). The identification, development, and evaluation of BIM-ARDM: a BIM-Based AR defect management system for construction inspections. Buildings, 12(2), 140. https://doi.org/10.3390/buildings12020140

Meyers, S. D., Azevedo, L., & Luther, M. E. (2021). A Scopus-based bibliometric study of maritime research involving the Automatic Identification System. Transportation Research Interdisciplinary Perspectives, 10, 100387. https://doi.org/10.1016/j.trip.2021.100387

Miljkovic, I., Shlyakhetko, O., & Fedushko, S. (2023). Real estate app development based on AI/VR technologies. Electronics, 12(3), 707. https://doi.org/10.3390/electronics12030707

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group, T. P. (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International Journal of Surgery, 8(5), 336–341. https://doi.org/10.1016/j.ijsu.2010.02.007

Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486–497. https://doi.org/10.3390/encyclopedia2010031

Narin, N. G. (2021). A content analysis of the metaverse articles. Journal of Metaverse, 1(1), 17–24.

Natarajan, A., Krishnasamy, V., & Singh, M. (2022). Occupancy detection and localization strategies for demand modulated appliance control in Internet of Things enabled home energy management system. Renewable and Sustainable Energy Reviews, 167, 112731. https://doi.org/10.1016/j.rser.2022.112731

Naticchia, B., Corneli, A., & Carbonari, A. (2020). Framework based on building information modeling, mixed reality, and a cloud platform to support information flow in facility management. Frontiers of Engineering Management, 7(1), 131–141. https://doi.org/10.1007/s42524-019-0071-y

Newman, C., Edwards, D., Martek, I., Lai, J., Thwala, W. D., & Rillie, I. (2020). Industry 4.0 deployment in the construction industry: a bibliometric literature review and UK-based case study. Smart and Sustainable Built Environment, 10(4), 557–580. https://doi.org/10.1108/SASBE-02-2020-0016

Nguyen, H., & Bednarz, T. (2020). User experience in collaborative extended reality: overview study. In Virtual reality and augmented reality (pp. 41–70). Springer. https://doi.org/10.1007/978-3-030-62655-6_3

Ning, H., Wang, H., Lin, Y., Wang, W., Dhelim, S., Farha, F., Ding, J., & Daneshmand, M. (2021). A survey on metaverse: the state-of-the-art, technologies, applications, and challenges (arXiv:2111.09673). arXiv. https://doi.org/10.48550/arXiv.2111.09673

Oleksy, T., Wnuk, A., & Piskorska, M. (2023). Migration to the metaverse and its predictors: attachment to virtual places and metaverse-related threat. Computers in Human Behavior, 141, 107642. https://doi.org/10.1016/j.chb.2022.107642

Oliveira, A. S., de Barros, M. D., de Carvalho Pereira, F., Gomes, C. F. S., & da Costa, H. G. (2018). Prospective scenarios: a literature review on the Scopus database. Futures, 100, 20–33. https://doi.org/10.1016/j.futures.2018.03.005

Onggirawan, C. A., Kho, J. M., Kartiwa, A. P., Anderies, & Gunawan, A. A. S. (2023). Systematic literature review: the adaptation of distance learning process during the COVID-19 pandemic using virtual educational spaces in metaverse. Procedia Computer Science, 216, 274–283. https://doi.org/10.1016/j.procs.2022.12.137

Pal, A., & Hsieh, S.-H. (2021). Deep-learning-based visual data analytics for smart construction management. Automation in Construction, 131, 103892. https://doi.org/10.1016/j.autcon.2021.103892

Papulová, Z., Gažová, A., & Šufliarský, Ľ. (2022). Implementation of automation technologies of Industry 4.0 in automotive manufacturing companies. Procedia Computer Science, 200, 1488–1497. https://doi.org/10.1016/j.procs.2022.01.350

Peng, S., Su, G., Chen, J., & Du, P. (2017). Design of an IoT-BIM-GIS based risk management system for hospital basic operation. In 2017 IEEE Symposium on Service-Oriented System Engineering (SOSE) (pp. 69–74), San Francisco, CA, USA. https://doi.org/10.1109/SOSE.2017.22

Petri, I., Rezgui, Y., Ghoroghi, A., & Alzahrani, A. (2023). Digital twins for performance management in the built environment. Journal of Industrial Information Integration, 33, 100445. https://doi.org/10.1016/j.jii.2023.100445

Piekarski, W., & Thomas, B. H. (2003). Tinmith - mobile outdoor augmented reality modelling demonstration. In The Second IEEE and ACM International Symposium on Mixed and Augmented Reality (pp. 317–318), Tokyo, Japan. https://doi.org/10.1109/ISMAR.2003.1240738

Pishdad-Bozorgi, P., Gao, X., Eastman, C., & Self, A. P. (2018). Planning and developing facility management-enabled building information model (FM-enabled BIM). Automation in Construction, 87, 22–38. https://doi.org/10.1016/j.autcon.2017.12.004

Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., & Wu, D. O. (2020). Edge computing in industrial internet of things: architecture, advances and challenges. IEEE Communications Surveys & Tutorials, 22(4), 2462–2488. https://doi.org/10.1109/COMST.2020.3009103

Rad, M. A. H., Jalaei, F., Golpour, A., Varzande, S. S. H., & Guest, G. (2021). BIM-based approach to conduct life cycle cost analysis of resilient buildings at the conceptual stage. Automation in Construction, 123, 103480. https://doi.org/10.1016/j.autcon.2020.103480

Re Cecconi, F., Moretti, N., & Dejaco, M. C. (2019). Measuring the performance of assets: a review of the Facility Condition Index. International Journal of Strategic Property Management, 23(3), 187–196. https://doi.org/10.3846/ijspm.2019.7955

Sadhu, A., Peplinski, J. E., Mohammadkhorasani, A., & Moreu, F. (2023). A review of data management and visualization techniques for structural health monitoring using BIM and virtual or augmented reality. Journal of Structural Engineering, 149(1), 03122006. https://doi.org/10.1061/(ASCE)ST.1943-541X.0003498

Sanzana, M. R., Maul, T., Wong, J. Y., Abdulrazic, M. O. M., & Yip, C.-C. (2022). Application of deep learning in facility management and maintenance for heating, ventilation, and air conditioning. Automation in Construction, 141, 104445. https://doi.org/10.1016/j.autcon.2022.104445

Setaki, F., & van Timmeren, A. (2022). Disruptive technologies for a circular building industry. Building and Environment, 223, 109394. https://doi.org/10.1016/j.buildenv.2022.109394

Shi, F., Ning, H., Zhang, X., Li, R., Tian, Q., Zhang, S., Zheng, Y., Guo, Y., & Daneshmand, M. (2023). A new technology perspective of the Metaverse: its essence, framework and challenges. Digital Communications and Networks. https://doi.org/10.1016/j.dcan.2023.02.017

Shvets, Y., & Hanák, T. (2023). Use of the internet of things in the construction industry and facility management: usage examples overview. Procedia Computer Science, 219, 1670–1677. https://doi.org/10.1016/j.procs.2023.01.460

Tarek, H., & Marzouk, M. (2022). Integrated augmented reality and cloud computing approach for infrastructure utilities maintenance. Journal of Pipeline Systems Engineering and Practice, 13(1), 04021064. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000616

Tromp, J. G., Le, D.-N., & Le, C. V. (2020). Emerging extended reality technologies for Industry 4.0: early experiences with conception, design, implementation, evaluation and deployment. John Wiley & Sons. https://doi.org/10.1002/9781119654674

Vidal-Tomás, D. (2023). The illusion of the metaverse and meta-economy. International Review of Financial Analysis, 86, 102560. https://doi.org/10.1016/j.irfa.2023.102560

Wang, T., Ali, A. S., & Au-Yong, C. P. (2022). Exploring a body of knowledge for promoting the building information model for facility management. Ain Shams Engineering Journal, 13(4), 101717. https://doi.org/10.1016/j.asej.2022.101717

Xia, X., Li, N., & González, V. A. (2021). Exploring the influence of emergency broadcasts on human evacuation behavior during building emergencies using virtual reality technology. Journal of Computing in Civil Engineering, 35(2), 04020065. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000953

Xie, X., Lu, Q., Parlikad, A. K., & Schooling, J. M. (2020). Digital twin enabled asset anomaly detection for building facility management. IFAC-PapersOnLine, 53(3), 380–385. https://doi.org/10.1016/j.ifacol.2020.11.061

Xu, W., Chan, S. C., & Leong, W. Y. (2023). Effectiveness study of artificial intelligent facility system in maintaining building fire safety (case study: typical public building cases of fire-fighting facilities management in China). Discrete Dynamics in Nature and Society, 2023, e2592322. https://doi.org/10.1155/2023/2592322

Yigitcanlar, T., Desouza, K. C., Butler, L., & Roozkhosh, F. (2020). Contributions and risks of artificial intelligence (AI) in building smarter cities: insights from a systematic review of the literature. Energies, 13(6), 1473. https://doi.org/10.3390/en13061473

Zhong, B., Guo, J., Zhang, L., Wu, H., Li, H., & Wang, Y. (2022). A blockchain-based framework for on-site construction environmental monitoring: proof of concept. Building and Environment, 217, 109064. https://doi.org/10.1016/j.buildenv.2022.109064