IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3713-d1071776.html

Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review

Author

Listed:
  • Habib Sadri

    (Department of Construction Engineering and Lighting Science, School of Engineering, Jönköping University, Gjuterigatan 5, 551 11 Jönköping, Sweden)

  • Ibrahim Yitmen

    (Department of Construction Engineering and Lighting Science, School of Engineering, Jönköping University, Gjuterigatan 5, 551 11 Jönköping, Sweden)

  • Lavinia Chiara Tagliabue

    (Department of Computer Science, University of Turin, Corso Svizzera 185, 10149 Turin, Italy)

  • Florian Westphal

    (Department of Computer Science, School of Engineering, Jönköping University, Gjuterigatan 5, 551 11 Jönköping, Sweden)

  • Algan Tezel

    (School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK)

  • Afshin Taheri

    (Pythagoras AB, Söder Mälarstrand 27B, 118 25 Stockholm, Sweden)

  • Goran Sibenik

    (Institute of Building and Industrial Construction, Integrated Planning and Industrial Construction, Vienna University of Technology, 1040 Vienna, Austria)

Abstract

The integration of blockchain and digital twins (DT) for better building-lifecycle data management has recently received much attention from researchers in the field. In this respect, the adoption of enabling technologies such as artificial intelligence (AI) and machine learning (ML), the Internet of Things (IoT), cloud and edge computing, Big Data analytics, etc., has also been investigated in an abundance of studies. The present review inspects the recent studies to shed light on the foremost among those enabling technologies and their scope, challenges, and integration potential. To this end, 86 scientific papers, recognized and retrieved from the Scopus and Web of Science databases, were reviewed and a thorough bibliometric analysis was performed on them. The obtained results demonstrate the nascency of the research in this field and the necessity of further implementation of practical methods to discover and prove the real potential of these technologies and their fusion. It was also found that the integration of these technologies can be beneficial for addressing the implementation challenges they face individually. In the end, an abstract descriptive model is presented to provide a better understanding of how the technologies can become integrated into a unified system for smartening the built environment.

Suggested Citation

  • Habib Sadri & Ibrahim Yitmen & Lavinia Chiara Tagliabue & Florian Westphal & Algan Tezel & Afshin Taheri & Goran Sibenik, 2023. "Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review," Sustainability, MDPI, vol. 15(4), pages 1-46, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3713-:d:1071776
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3713/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/4/3713/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Spyros Makridakis & Klitos Christodoulou, 2019. "Blockchain: Current Challenges and Future Prospects/Applications," Future Internet, MDPI, vol. 11(12), pages 1-16, December.
    3. Konstantina Siountri & Emmanouil Skondras & Dimitrios D. Vergados, 2020. "Developing Smart Buildings Using Blockchain, Internet of Things, and Building Information Modeling," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global Scientific Publishing, vol. 12(3), pages 1-15, July.
    4. Lavinia Chiara Tagliabue & Fulvio Re Cecconi & Sebastiano Maltese & Stefano Rinaldi & Angelo Luigi Camillo Ciribini & Alessandra Flammini, 2021. "Leveraging Digital Twin for Sustainability Assessment of an Educational Building," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    5. repec:ibf:gjbres:v:13:y:2019:i:1:p:83-91 is not listed on IDEAS
    6. Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
    7. Rasa Apanaviciene & Andrius Vanagas & Paris A. Fokaides, 2020. "Smart Building Integration into a Smart City (SBISC): Development of a New Evaluation Framework," Energies, MDPI, vol. 13(9), pages 1-19, May.
    8. Giuseppe Desogus & Emanuela Quaquero & Giulia Rubiu & Gianluca Gatto & Cristian Perra, 2021. "BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    9. Zhen Liu & Ziyuan Chi & Mohamed Osmani & Peter Demian, 2021. "Blockchain and Building Information Management (BIM) for Sustainable Building Development within the Context of Smart Cities," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    10. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    11. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alessio Ferone & Stefano Verrilli, 2025. "Exploiting Blockchain Technology for Enhancing Digital Twins’ Security and Transparency," Future Internet, MDPI, vol. 17(1), pages 1-29, January.
    2. Dimitrios Varveris & Vasiliki Basdekidou & Chrysanthi Basdekidou & Panteleimon Xofis, 2025. "Smart Forest Modeling Behavioral for a Greener Future: An AI Text-by-Voice Blockchain Approach with Citizen Involvement in Sustainable Forestry Functionality," FinTech, MDPI, vol. 4(3), pages 1-26, September.
    3. repec:bcp:journl:v:9:y:2025:i:10:p:6724-6738 is not listed on IDEAS
    4. Izabela Rojek & Dariusz Mikołajewski & Adam Mroziński & Marek Macko & Tomasz Bednarek & Krzysztof Tyburek, 2025. "Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study," Energies, MDPI, vol. 18(7), pages 1-28, March.
    5. Charles Okeyia & Nuno Marques de Almeida & Joe Amad-Echendu & Simplice A. Asongu, 2026. "Optimizing the Distributed Telecoms Asset Maintenance Practice Using Blockchain and Digital Twin Technologies," Global Business Review, International Management Institute, vol. 27(1), pages 93-113, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nirojan JASINTHA, 2023. "What Is Known And Unknown: A Bibliometric Analysis Of Organizational Politics," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 15(2), pages 5-16, June.
    2. Sharma, Wamika & Lim, Weng Marc & Kumar, Satish & Verma, Aastha & Kumra, Rajeev, 2024. "Game on! A state-of-the-art overview of doing business with gamification," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Mathew Azarian & Hao Yu & Asmamaw Tadege Shiferaw & Tor Kristian Stevik, 2023. "Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment," Logistics, MDPI, vol. 7(4), pages 1-32, November.
    4. Veronica Paul Kundy & Kamini Shah, 2024. "The knowledge base of financial technology: a bibliometric analysis review," SN Business & Economics, Springer, vol. 4(7), pages 1-22, July.
    5. Adela Laura Popa & Naiana Nicoleta Ţarcă & Dinu Vlad Sasu & Simona Aurelia Bodog & Remus Dorel Roşca & Teodora Mihaela Tarcza, 2022. "Exploring Marketing Insights for Healthcare: Trends and Perspectives Based on Literature Investigation," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    6. Karina A. Rus & Ștefan Dezsi & Ovidiu R. Ciascai & Florin Pop, 2022. "Calibrating Evolution of Transformative Tourism: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(17), pages 1-40, September.
    7. Sharma, Umesh & Sharma, Shilpa & Sankhyan, Neeraj & Sharma, Sunny & Sharma, Sarthak, 2025. "A global review of agroforestry research and policy directions: Addressing ecological and socioeconomic challenges through systematic review and bibliometric analysis," Forest Policy and Economics, Elsevier, vol. 181(C).
    8. Domenico Villano & Laura Colli & Federico Martellozzo & Sara Lombardi, 2024. "Business Climate Adaptation and Resilience. A Systematic Literature Review (2013-2023)," Working Papers - Business wp2024_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    9. Pawinee Iamtrakul & Sararad Chayphong & Derlie Mateo-Babiano, 2023. "The Transition of Land Use and Road Safety Studies: A Systematic Literature Review (2000–2021)," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    10. Lim, Weng Marc & Kumar, Satish & Donthu, Naveen, 2024. "How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research," Journal of Business Research, Elsevier, vol. 182(C).
    11. DMSLB Dissanayake & Manjula Ranagalage & JMSB Jayasundara & PSK Rajapakshe & NSK Herath & Samali Ayoma Marasinghe & WMSB Wanninayake & HUK Dilanjani & ALWM Perera & Yukthi Herath, 2025. "A Comprehensive Bibliometric Analysis of Spatial Data Infrastructure in a Smart City Context," Land, MDPI, vol. 14(3), pages 1-28, February.
    12. Suman Kumar Das & Gianmarco Bressanelli & Nicola Saccani, 2024. "Clustering the Research at the Intersection of Industry 4.0 Technologies, Environmental Sustainability and Circular Economy: Evidence from Literature and Future Research Directions," Circular Economy and Sustainability, Springer, vol. 4(4), pages 2473-2504, December.
    13. Daniela Rupo & Nicola Rappazzo & Salvatore Loprevite & Giovanna Centorrino, 2024. "Does non-financial information matter? Mapping and clustering literature on the value relevance of comprehensive disclosure," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2024(2), pages 89-114.
    14. Massimo Biasin & Andrea Delle Foglie, 2024. "Blockchain and Smart Cities for Inclusive and Sustainable Communities: A Bibliometric and Systematic Literature Review," Sustainability, MDPI, vol. 16(15), pages 1-21, August.
    15. Engidaw Abriham Ebabu & Haichun Yu & Zou Weikang & Hongling Gong, 2025. "Economic and Social Impacts of Sustainable Entrepreneurship: Systematic Review and Bibliometric Study of Global Evidence," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(4), pages 5890-5903, August.
    16. Ahmet Ayaz, 2026. "The 500 Most-Cited Articles in Management Information Systems: A Bibliometric and Thematic Approach," Information Systems Frontiers, Springer, vol. 28(1), pages 317-340, February.
    17. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    18. Shobhit Kakaria & Aline Simonetti & Enrique Bigne, 2024. "Interaction between extrinsic and intrinsic online review cues: perspectives from cue utilization theory," Electronic Commerce Research, Springer, vol. 24(4), pages 2469-2497, December.
    19. Migliavacca, Milena & Goodell, John W. & Paltrinieri, Andrea, 2023. "A bibliometric review of portfolio diversification literature," International Review of Financial Analysis, Elsevier, vol. 90(C).
    20. Güler Koştı & İsmail Kayadibi, 2025. "A bibliometric analysis of artificial intelligence and machine learning applications for human resource management," Future Business Journal, Springer, vol. 11(1), pages 1-19, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3713-:d:1071776. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.